The Best Real Estate Data Providers 2026

The Data-Driven Foundation of Modern Real Estate

Real estate has always depended on information. What’s changed in 2026 is not the importance of data, but the cost of working with the wrong kind of it.

The market is flooded with fragments: listings here, ownership records there, reports published weeks after conditions change. Information exists, but decision-ready intelligence is still scarce.

Most real estate teams don’t suffer from a lack of data. They suffer from data that arrives too late, in the wrong format, or disconnected from how their teams actually operate, even when that data is sourced through real estate web scraping or third-party vendors.

As competition intensifies, winning firms are not the ones collecting the most data. They are the ones that can:

• Identify opportunity earlier
• Prioritize the right assets and counterparties
• Act immediately, without manual research or operational drag

That shift has redefined what “good data” means. In 2026, value comes from relevance, context, timing, and activation, not raw volume.

This guide explores the best real estate data providers for 2026, comparing how they differ in depth, delivery, and operational impact. More importantly, it introduces a newer category of solution designed to solve the industry’s biggest unsolved problem: activating real estate intelligence directly inside day-to-day workflows.

The 2026 Landscape: Three Models of Real Estate Data Solutions

When evaluated through an enterprise lens, today’s market organizes into three distinct models, each serving a very different audience.

1. Data Aggregators & Marketplaces

These solutions prioritize availability over usability.

They offer versatile datasets, often sourced via real estate web scraping, bulk licensing, or third-party feeds, that allow for flexible experimentation, research, and early-stage exploration. This approach gives customers full control over cleaning, validation, entity resolution, and enrichment, but also places the operational burden squarely on internal teams, who must then stand up their own data-quality QA workflows to catch the corrupted, mismatched, and incomplete records raw feeds inevitably carry.

In many cases, these platforms function as real estate data feeds rather than intelligence systems.

Who they benefit

• Startups validating ideas
• Academic and research teams
• Open-source projects
• Teams with limited scope and tolerance for manual work

Who is it not for: 

• Enterprise sales, investment, or operations teams that require accuracy, consistency, and repeatable outcomes

2. Analytics & Intelligence Platforms

These providers specialize in specific markets, primarily the U.S., and excel at real estate data analytics that analyze the past.

They aggregate structured datasets to deliver valuation models, market trends, risk assessments, and compliance insights, usually through dashboards, reports, or APIs. If you are weighing a provider whose primary delivery is an API, it is worth understanding what to expect from a real estate data API and how to evaluate one before you integrate it. Many rely on upstream data extraction for real estate before insights can be generated.

While powerful, these platforms assume that data collection, standardization, and integration already exist elsewhere.

Who they benefit

• Analysts and researchers
• Lenders and financial institutions
• Teams focused on underwriting, risk, and compliance

To perform analytics, these platforms require data, which must first be collected and standardized separately before being ingested into these platforms for generating insights.

3. Automated Workflow Solutions

This category addresses a core problem many modern businesses face: extract massive amounts of complex, unstructured data and deliver structured, usable insights quickly and automatically, without requiring extensive manual effort or internal infrastructure.

Instead of delivering raw datasets or static dashboards, these platforms act as real estate web data feed providers, designed to:

• Continuously source and validate data
• Resolve ownership and entity relationships
• Apply business logic and prioritization
• Deliver data directly into operational infrastructure

This often involves custom scraping solutions for real estate, combining web data, firmographic intelligence, and proprietary enrichment layers.

The goal is not the dataset alone, but flexible and repeatable action at scale. 

How to Evaluate a Real Estate Data Provider in 2026

Before comparing vendors, it’s important to align evaluation criteria with how enterprise real estate teams actually work today. 

Evaluation Dimension	What It Assesses	Why It Matters
Coverage & Geography	Global reach vs country-level or hyper-local coverage	Some use cases require worldwide visibility, while others demand deep, precise coverage within a single city or region
Data Depth & Sources	Types of data available (ownership, transactions, liens, foreclosures, valuations, development activity) and reliability of sources	Depth and source quality determine whether data can support analysis, decision-making, and operational workflows
Delivery & Integration	Data delivery methods (APIs, bulk files, dashboards, cloud feeds) and system compatibility	Data must integrate directly into operational systems like CRMs to create value, not remain siloed
Compliance & Ethics	Adherence to GDPR, CCPA, and regional privacy regulations; ethical data sourcing	Compliance and consent are baseline requirements and reduce legal and reputational risk
Scalability & Support	Ability to support custom schemas, expanding coverage, and evolving requirements	Providers must scale with growing data needs and provide expert support as use cases change
Transparency & Trust	Clarity around pricing, limitations, documentation, and data samples	Trust is built through transparency and clear communication, not marketing claims

Coverage & geography is a tradeoff, not a scorecard. Some providers cover the entire globe at a shallow level; others go hyper-local in a single metro. Decide which axis your team actually needs before you shop, because global breadth and local depth are rarely the same product.

Data depth & sources determine what a dataset can actually support. Ownership records, transaction history, liens, foreclosures, and permit activity each carry different sourcing and verification burdens, so ask for a field-level data dictionary before you commit, not a marketing one-pager.

Delivery & integration is where coverage and depth go to waste. Confirm a provider can deliver into the CRM, warehouse, or internal system your team already works in, rather than as a file someone has to import by hand every week.

Compliance & ethics is the floor, not a differentiator. Ask specifically how a provider sources contact and ownership data, and whether that sourcing method would survive a review by your own legal or compliance team.

Scalability & support matters because your data needs will not stay static: new markets, new asset classes, new schema requirements. Evaluate providers on how easily they absorb that change, and whether real support shows up when they don’t.

Transparency & trust shows up before the contract, not after. A provider willing to share a real data sample and a real price is telling you something about how it will behave once you are locked in; vague pricing and locked-down samples are themselves a data point.

Deep Dive: The Top Real Estate Data Providers of 2026

With the categories defined, we can now examine the leading providers, starting with the one built explicitly around workflow activation.

#	Provider	Category	Best For
1	Forage AI	Custom workflow intelligence	Brokerages, investor teams, and sales ops leaders wanting intelligence inside their daily workflow
2	Bright Data	Data access infrastructure	Large enterprises and technical teams building proprietary real estate data systems
3	Datarade	Data marketplace	Businesses evaluating and comparing vendors across markets
4	ATTOM	Analytics platform	Analysts, lenders, and investors focused exclusively on U.S. real estate
5	PropertyShark	Analytics platform	Professionals operating in dense, high-activity urban metros
6	CoreLogic (Cotality)	Analytics platform	Mortgage firms, insurers, and enterprise-scale institutions
7	CoStar Group	Commercial real estate data platform	Commercial brokers, institutional investors, and lenders needing field-verified comps
8	MSCI Real Assets (RCA)	Global CRE transaction data	Institutional investors and lenders needing global capital-flow and pricing history
9	Reonomy	Ownership intelligence	CRE brokers and lenders identifying true property owners behind LLCs
10	HouseCanary	Automated valuation model	Institutional investors and lenders needing defensible, at-scale valuations
11	Cherre	Real estate data management platform	Institutional owners and asset managers unifying fragmented data sources
12	PropStream	Investor data & lead generation	Individual investors, wholesalers, and small teams sourcing off-market leads
13	CompStak	Crowdsourced lease & sale comps	CRE brokers and appraisers wanting deal-level comps without CoStar’s price tag
14	Zonda	New-construction housing data	Homebuilders, developers, and building-product suppliers
15	Yardi (Matrix / CommercialEdge)	Property management + market data	Multifamily owners and lenders already on the Yardi Voyager ecosystem

1. Forage AI: Automated Workflow Intelligence

Forage AI is built for organizations where real estate data is not a side input, but a core operational dependency.

Solution type	Custom Workflow Intelligence
Best for	Brokerages, investor teams, and sales operations leaders who want intelligence to appear automatically inside their daily workflow, without spreadsheets, portals, or manual research
Coverage	Global (custom-defined by use case)
Primary strength	Decision-grade real estate intelligence operationalized across workflows
Integration & delivery	Custom-built to integrate into any enterprise stack (CRM, internal systems, data warehouses, analytics tools)
Watch-out	Optimized for operational/revenue workflows, not raw global dataset distribution to data science teams

How Forage AI is fundamentally different

Forage AI does not deliver datasets. It delivers decision-grade intelligence infrastructure. 

Instead of pushing raw outputs from real estate web scraping, Forage AI:

• Designs custom pipelines aligned to business use cases
• Continuously validates and enriches intelligence
• Resolves complex entity and ownership relationships
• Surfaces what matters now, not everything

This includes structured property data, ownership intelligence, and real estate firmographic data providers layered directly into workflows.

Core strengths 

Instead of treating data as a resource teams must manage, Forage AI delivers fully managed intelligence pipelines that automatically sync clean, structured property and ownership data directly into existing operation and infrastructure.

• Custom-built, fully managed pipelines
  Designed for enterprise scale, tailored to your geography, asset classes, and workflows, without internal maintenance burden.
• Entity and relationship intelligence
  Properties are connected to owners, entities, portfolios, and behavioral signals, enabling network-level understanding rather than isolated records.
• Operational activation
  Intelligence arrives where teams work, triggering prioritization, outreach, or investment decisions in real time.
• Infrastructure-agnostic integration
  Forage AI integrates into your stack, not the other way around.

Consideration

Forage AI is optimized for operational efficiency and revenue workflows, not for distributing raw global datasets to data science teams.

Best for

Brokerages, investor teams, and sales operations leaders who want intelligence to appear automatically inside their daily workflow, without spreadsheets, portals, or manual research.

2. Bright Data: Global and Customizable Scale

Bright Data is a well-known provider of large-scale data access tooling.

Solution type	Data Access Infrastructure
Best for	Large enterprises and technical teams building proprietary real estate data systems
Coverage	Worldwide
Primary strength	Large-scale raw and semi-structured data collection
Integration & delivery	API, cloud feeds
Watch-out	Requires significant internal effort to transform raw outputs into reliable, operational intelligence

Bright Data’s real estate depth comes from two products: a proxy and unblocking layer (residential, ISP, and datacenter IPs plus a Web Unlocker API) that lets a buyer run their own scrapers against listing sites without getting blocked, and a pre-built dataset marketplace that sells already-scraped, structured property records directly. The dedicated Real Estate Datasets product spans 12 datasets and over 301.5 million records aggregated from Zillow, Realtor.com, Zoopla, and regional platforms across the US, UK, Australia, and other countries, delivered via CSV, JSON, or Parquet, or direct integration to Snowflake, AWS, GCP, or Azure.

Bright Data began as Luminati Networks in 2014; EMK Capital acquired a majority stake in 2017 for roughly $200 million, and the company rebranded to Bright Data in 2021, reporting around $300 million in annual recurring revenue as of December 2025. Real Estate Datasets start at $0.0025 per record with a $250 minimum order, and subscription refresh plans offer meaningful discounts over one-off pulls. The tradeoff shows up in the reviews below: this is infrastructure, not a finished intelligence product, and pricing at the entry tier runs notably higher per unit than at enterprise scale.

Reviewer signal: G2: 4.6/5 across 284 reviews. Capterra: 4.7/5 across 68 reviews.

What Users Like	What Users Flag
Reliable, hard-to-flag IPs with a lower error rate than competing proxy providers	Pricing complexity at low volume, with entry-tier customers paying a notably higher per-unit rate than enterprise accounts
Support engineers respond quickly with workarounds and sometimes escalate fixes to engineering	Documentation gaps and a learning curve on initial setup
Zone-based proxy setup integrates cleanly and simplifies scraping for non-technical users	Some reviewers report being billed for failed requests on the Web Unlocker product

3. Datarade: The Data Marketplace

Datarade serves as a discovery and procurement layer rather than a single data source.

Solution type	Data Marketplace
Best for	Businesses in the evaluation phase, comparing vendors and exploring options across markets
Coverage	Worldwide
Primary strength	Dataset and provider discovery
Integration & delivery	Varies
Watch-out	A discovery and procurement layer rather than a single data source; delivery depends on the chosen provider

For real estate specifically, Datarade functions as a discovery and comparison layer rather than a vendor itself: buyers browse a dedicated real estate data hub, filter by location and coverage, and compare listings from independent vendors, property records, foreclosure data, mortgage data, commercial real estate, side by side, then request free samples before committing. Its real estate category lists 347 datasets across those subcategories, with vendors including ATTOM, SafeGraph, and The Warren Group appearing alongside smaller specialists.

Datarade was founded in Berlin in 2018 and raised approximately €1.2M in pre-seed funding the following year. Browsing and comparing is free for buyers, one G2 reviewer specifically noted the platform charges nothing to use, with fees instead borne by the data providers who transact through it, so pricing for the actual datasets is set independently by each vendor and varies widely, from roughly $0.01 per API call to $1,500 per month subscriptions.

Reviewer signal: G2: 4.5/5 across 21 reviews, the only platform with a meaningful, verifiable review count for Datarade itself.

What Users Like	What Users Flag
Free to browse and compare, with fees charged to data providers rather than buyers	Some navigation friction despite an otherwise clean interface, including links that exit to third-party provider sites
Simple interface paired with a responsive support team	At least one reviewer reported delays requesting a data sample, resolved only after contacting support directly
Side-by-side comparison across vendors saves research time, especially for smaller budgets	Data quality, pricing, and delivery SLAs vary by vendor since Datarade does not standardize them itself

4. ATTOM: U.S. Market Depth and Consistency

ATTOM is known for its comprehensive U.S. property datasets, including transactions, valuations, tax data, and foreclosure information.

Solution type	Analytics Platform
Best for	Analysts, lenders, and investors focused exclusively on U.S. real estate intelligence
Coverage	U.S. only
Primary strength	U.S. historical depth and consistency across markets
Integration & delivery	API, bulk data
Watch-out	Coverage is U.S. only, not suited to global use cases

ATTOM aggregates and standardizes property records sourced from more than 3,000 U.S. county recorder, assessor, and building-permit offices, covering roughly 150-160 million residential and commercial parcels and over 99% of the U.S. population. The dataset spans property characteristics, tax assessments, deed and mortgage history, foreclosure filings, and environmental and climate risk, delivered via REST API, bulk file licensing, or the self-serve Property Navigator tool, which runs $499 per year for a professional plan with a 7-day free trial.

ATTOM traces back to RealtyTrac, founded in 1996, and rebranded to ATTOM Data Solutions in 2016 as its business shifted from foreclosure listings to broad property data licensing. It acquired ResiShares’ analytics platform in January 2026 to add price and rent forecasting. One structural point worth flagging: coverage and field population vary by county, ATTOM’s own documentation acknowledges some jurisdictions track attributes others don’t, and publishes coverage reports to help buyers spot the gaps before they build on top of the data.

Reviewer signal: No independently verifiable star rating exists on G2, Capterra, or TrustRadius. This is typical of enterprise B2B data-licensing vendors sold through direct sales rather than self-serve signup; we’re reporting that gap honestly rather than citing an unconfirmed number.

What Users Like	What Users Flag
Vendor-collected testimonials cite daily data updates that are easy to ingest into other platforms	An independent review describes being repeatedly transferred between support staff without follow-up
Foreclosure and mortgage data depth called out specifically by title insurance and private lending customers	No published tiered pricing for the core API and bulk products, custom quotes only, which frustrates smaller buyers estimating ROI
At least one independent review praised support going out of its way to resolve a recurring issue	Most enterprise contracts run annual, a poor fit for buyers with seasonal or project-specific data needs

5. PropertyShark: Metro-Level Analytics

PropertyShark focuses on granular insights in major metropolitan areas, particularly New York City and California.

Solution type	Analytics Platform
Best for	Professionals operating in dense, high-activity urban markets
Coverage	U.S. metros (particularly New York City and California)
Primary strength	Metro-level insights: zoning analysis, ownership research, and detailed urban market data
Integration & delivery	Platform, files
Watch-out	Focused on dense urban metros, not broad national or global coverage

PropertyShark aggregates public property records, ownership history, comparable sales, liens and mortgages, zoning, permits, and violations, from county and municipal sources into on-demand reports, with top tiers adding LLC owner unmasking and real owner phone numbers. Coverage spans 46 U.S. states, but depth is uneven: it is strongest in New York City, where it claims full five-borough coverage refreshed roughly every two weeks, and other Northeast and gateway metros, with data thinner and slower to update in secondary and rural markets.

Founded in 2003 by real estate investor Matthew Haines, PropertyShark was acquired by Yardi Systems in 2010 to feed deep property records into Yardi’s broader property management suite, and has since grown past 4 million registered users. Pricing runs three published tiers: Pro at $59.95 per month, Elite at $79.95, and Platinum, which adds the LLC owner-unmasking, at $169.95, each roughly 17% cheaper billed annually, with a free trial available.

Reviewer signal: Trustpilot: rated Excellent at 4.7/5. G2 has no PropertyShark reviews yet, itself a data point for a product with this much tenure.

What Users Like	What Users Flag
Accurate title records and ownership data that reviewers say streamlines underwriting	Billing and auto-renewal friction, including reports of charges after attempting to cancel
User-friendly search with quick access to comparable sales data	Listing data lag: reviewers report properties shown as for-sale weeks after they actually sold (PropertyShark notes it does not control listing data, which comes from listing agents)
Long-tenure loyalty, at least one reviewer called it their default platform after 5+ years of daily use	Mixed support responsiveness, some reviewers call it reliable, others report multi-day delays on report-replacement requests

6. CoreLogic (Cotality): Enterprise Industry Intelligence

CoreLogic delivers integrated data, analytics, and risk modeling for the mortgage and financial services ecosystem.

Solution type	Analytics Platform
Best for	Mortgage firms, insurers, and enterprise-scale institutions
Coverage	U.S. only
Primary strength	Risk & BI integration: integrated data, analytics, and risk modeling for the mortgage and financial services ecosystem
Integration & delivery	API, cloud platforms
Watch-out	Typically designed for large organizations with complex compliance and reporting needs

CoreLogic aggregates property records at the county level, tax assessor, deed, and permit data, and layers on proprietary automated valuation models, climate and flood-risk analytics, and insurance underwriting data. Its MLS distribution arm, Trestle, is a RESO-standardized single access point that reportedly handles more than half of industry listings, letting technology providers pull live data from multiple MLSs through one credential instead of integrating with each separately. Trestle is also the one CoreLogic product with real published pricing: broker data feeds run $30-100 per month per connection, with technology-provider feeds tiered by contract volume.

CoreLogic rebranded globally to Cotality in March 2025, though the corelogic.com domain and product names like CoreLogic Matrix and CoreLogic Realist persist in the market. The company was taken private by Stone Point Capital and Insight Partners in a roughly $6 billion deal that closed in June 2021, and acquired Prime Ecosystem in January 2025 to expand its contractor and claims solutions internationally. Its core data and analytics products remain enterprise, quote-only, no public pricing exists outside Trestle.

Reviewer signal: Fragmented across products rather than one unified score: G2’s aggregated CoreLogic page shows 3.9/5 across 55 reviews spanning multiple sub-products (Realist, RealQuest, HPI). CoreLogic Matrix does not yet have enough TrustRadius reviews for an overall score.

What Users Like	What Users Flag
Data depth and reliability for decision-making, reviewers describe report formats as comprehensive and customizable	A dated, unintuitive UI is the most repeated complaint across both Realist and Matrix reviews
MLS workflow efficiency, TrustRadius reviewers of Matrix specifically praise fast listing retrieval and trend analysis	RealQuest reviewers report data running roughly two months behind with a growing volume of errors
Responsive support cited in a subset of reviews, though inconsistent across products	Core products carry no public pricing, every quote starts as a sales conversation

7. CoStar Group: The Commercial Data Incumbent

CoStar Group is the publicly traded (NASDAQ: CSGP) research engine most commercial real estate professionals learned the industry on.

Solution type	Commercial Real Estate Data Platform
Best for	Commercial brokers, institutional investors, and lenders who need the deepest field-verified U.S., UK, and Canadian commercial property and comps database
Coverage	U.S., Canada, UK, and France (launched June 2026); residential exposure via Apartments.com and Homes.com
Primary strength	Roughly 1,600+ in-house researchers plus aerial and drone survey work feeding an 8.5M+ property record database built over 39 years
Integration & delivery	CoStar Suite platform, CoStar Real Estate Manager, data feeds and API for enterprise accounts
Watch-out	Pricing is opaque and enterprise-oriented, with annual contracts that auto-renew and add-on modules priced separately

CoStar’s advantage is not a clever algorithm, it is decades of paid human research: field staff verify listings, vacancy, and lease terms building by building, which is exactly the kind of ground-truth data that is hardest for a newer entrant to replicate at scale. That field-research model is also why the platform commands premium pricing, third-party buyer data puts typical annual subscriptions anywhere from roughly $3,000 to $40,000 or more depending on modules, seats, and geography, with individual add-ons like COMPS cited around $485 per user per month.

CoStar completed its roughly $2.1 billion acquisition of Matterport in February 2025, adding 3D digital-twin capture to its property records, and in 2026 expanded the CoStar platform into France, extending its commercial footprint beyond the English-speaking markets it built its name on. For a single-market or smaller shop, that breadth is often more than needed; for a brokerage or institution operating across major U.S. or UK metros, it remains the default comps and market-data reference.

Reviewer signal: G2: 3.7/5 across 203 reviews (aggregated across CoStar’s product line).

What Users Like	What Users Flag
Breadth and depth of property data, reviewers say almost any building’s information is readily available	Price is the most repeated complaint, with add-on modules like COMPS drawing specific pushback
Strong onboarding, with dedicated specialists offering tutorials and live demos	Data accuracy gaps reported by some users on individual property records
Ease of use for property search and appraisal workflows	Slow support response times and an unintuitive order/navigation flow noted by several reviewers

8. MSCI Real Assets (Real Capital Analytics): Global Commercial Transaction Data

MSCI Real Assets, built on the Real Capital Analytics (RCA) database MSCI acquired in 2021, is the closest thing the industry has to a global system of record for commercial property deals.

Solution type	Commercial Real Estate Transaction & Capital Markets Data
Best for	Institutional investors, lenders, and researchers who need global CRE transaction pricing and capital-flow history
Coverage	Global, data collected across more than 170 countries
Primary strength	Over 20 years of verified global transaction data, deals, buyers, sellers, and lenders, now backed by MSCI’s index and analytics infrastructure
Integration & delivery	Web platform (app.rcanalytics.com), institutional data feeds, integrated into MSCI’s broader real estate index suite
Watch-out	No published pricing and no meaningful independent review-platform track record; evaluation runs almost entirely on reputation and a sales conversation

What RCA built before the acquisition, and what MSCI has scaled since, is a transaction-level record of who bought what from whom, at what price, and how it was financed, tracked across more markets than most competitors even attempt. That data now feeds MSCI’s commercial property price indexes (RCA CPPI), which institutional investors use as a benchmark the way equity investors use a stock index.

MSCI closed its purchase of RCA on September 13, 2021 for an aggregate cash price of approximately $949 million, a figure that signals how central transaction-level data has become to institutional real estate strategy. This is the one entry on this list with genuinely global reach rather than U.S.-only or metro-specific coverage, which makes it the reference point for cross-border capital flows even though, like most enterprise data vendors in this category, it carries no meaningful presence on consumer review platforms.

Reviewer signal: No listing or review data found on G2, Capterra, or TrustRadius. This is common for enterprise-only data platforms sold through direct sales relationships rather than self-serve signup, and we are reporting that gap honestly rather than inventing a score.

What Users Like	What Users Flag
Depth of verified global transaction history spanning two decades	No published pricing, every engagement starts as a custom sales conversation
Trusted as a pricing benchmark (RCA CPPI) by institutional investors	No independent review-platform data exists to benchmark buyer satisfaction
Backed by MSCI’s broader index and analytics infrastructure	Built for institutional users; overkill for single-market or small-team buyers

9. Reonomy: Ownership Intelligence

Reonomy, now operating as an Altus Group business, exists to answer one question competitors often can’t: who actually owns this building.

Solution type	Ownership Intelligence
Best for	CRE brokers, lenders, and investors doing U.S. deal-sourcing or prospecting who need to identify true property owners behind LLCs
Coverage	U.S. only, all 50 states
Primary strength	LLC-piercing entity resolution that unmasks the real owner behind shell companies, paired with direct integrations into county assessors, Secretary of State filings, and exclusive data partnerships
Integration & delivery	Web application, Bulk Data Feed, and API access on request through sales
Watch-out	Billing and cancellation friction shows up repeatedly in reviews, and coverage is U.S. commercial only with no residential or international data

Commercial property is routinely held inside LLCs specifically to obscure who is behind them, which makes ownership resolution a genuine technical problem, not just a data-aggregation one. Reonomy’s core mechanic ties assessor and filing records together to trace a property back to a real person or entity, then layers on contact information so a broker or lender can actually reach them. Pricing starts around $400 per month per user for an annual seat, with Bulk Data Feed and API access requiring a sales conversation.

Altus Group acquired Reonomy in November 2021, folding it into a broader real estate intelligence portfolio. The tradeoff buyers report most often is billing, not data quality: multiple reviewers describe continued charges after a cancellation request that required repeated follow-up to resolve, worth confirming in writing before signing.

Reviewer signal: Capterra: 4.1/5 across 33 verified reviews (4.3 on ease of use, 4.1 on customer service).

What Users Like	What Users Flag
Easy-to-learn interface with fast onboarding	Contact and email data accuracy complaints despite the subscription cost
Consolidates owner and sales information in one place with strong prospecting filters	Billing and cancellation friction, with reports of charges continuing after a cancellation request
Analytics flagged as useful for identifying properties likely to transact	No CRM integration and limited team-collaboration features

10. HouseCanary: Institutional-Grade Valuation

HouseCanary builds automated valuation models for buyers who cannot afford to be wrong: lenders pricing risk, and investors bidding on portfolios sight unseen.

Solution type	Automated Valuation Model & Analytics
Best for	Institutional investors, lenders, and capital markets teams needing defensible, at-scale residential valuations via API
Coverage	U.S. only, 114M+ properties across 19,000+ ZIP codes
Primary strength	Independently tested valuation accuracy trusted by major Wall Street investment banks for pre-bid due diligence through portfolio disposition
Integration & delivery	API (Data Explorer and Analytics APIs), enterprise Solutions Platform, and per-report valuation tools
Watch-out	Pricing is opaque with reported six-figure annual minimums for institutional API access, and public review data is too sparse to independently validate satisfaction

The core product is a valuation model, not a listings database, HouseCanary estimates what a property is actually worth, ranks comparable properties on a 1-100 similarity scale, and produces forecasts institutional buyers use before committing capital. Users report cutting CMA turnaround from 30-45 minutes down to 5-10, a meaningful difference at portfolio scale. Individual valuation reports run roughly $10-12 each on entry-level plans; enterprise and bulk API access is quote-only.

The accuracy that makes HouseCanary useful for standard housing stock is also its known limit: the model performs worse on atypical homes that fall outside normal comps, roughly 5-10% of the market by HouseCanary’s own framing. The company has also spent years in litigation with Amrock over trade-secret misappropriation, most recently a second jury verdict of roughly $175 million in March 2026, a costly but real signal of how defensible its valuation methodology is considered to be.

Reviewer signal: G2 (HouseCanary Data): 4.5/5, but based on only 2 reviews, too thin a sample to treat as a reliable signal on its own.

What Users Like	What Users Flag
Cuts CMA and valuation turnaround time dramatically for high-volume users	Accuracy drops for atypical homes that don’t fit standard comps
Large, accessible dataset at a comparatively low cost per data point for the volume delivered	Reports can be data-heavy and need explanation before handing to a client
Comparable-property ranking (1-100 scale) called out as a standout feature	Cost adds up for high-volume users whose CMAs don’t convert to closed deals

11. Cherre: The Data Integration Layer

Cherre does not sell a proprietary dataset. It sells the connective tissue that makes everyone else’s data usable in one place.

Solution type	Real Estate Data Management Platform
Best for	Institutional owners, investors, and asset managers who need to unify fragmented internal and third-party data sources into one governed system
Coverage	Primarily U.S., built on integrations with major providers like CoStar, Yardi, and Trepp
Primary strength	A property knowledge-graph architecture with AI-based entity resolution that automatically matches and reconciles records across 50+ data providers without manual ETL work
Integration & delivery	Cloud platform, pre-built connector library, secure SFTP ingestion, API, and an AI layer (Agent.STUDIO)
Watch-out	Pricing is enterprise-only and effectively undisclosed, and there is no substantive independent customer review base to verify satisfaction against

The problem Cherre solves is expensive and unglamorous: institutional real estate teams reportedly spend 30-40% of their analytical capacity just reconciling data from different sources before any actual analysis starts. Cherre’s knowledge-graph approach automatically matches a property record from CoStar against the same property in Yardi against the same property in a firm’s internal deal system, without an analyst manually stitching spreadsheets together, and layers SOC 2 compliance on top for institutional buyers who need that assurance.

The company raised a $30 million Series C in September 2024, with participation from principals at Nuveen Real Estate, RXR, and TA Realty, bringing total funding to roughly $105 million, and launched an AI-powered layer called Agent.STUDIO in July 2025. Industry estimates put typical annual contracts anywhere from $200,000 to over $1 million depending on portfolio size and integration count, and Cherre publishes none of it, so buyers are largely working from case studies and investor names rather than a public price list or review base.

Reviewer signal: No reliable independent customer review data found on G2, Capterra, or TrustRadius. This is a genuine gap, not an oversight, and we are reporting it rather than substituting an unrelated score.

What Users Like	What Users Flag
Solves a real, costly pain point: institutional teams report losing 30-40% of analytical capacity to manual data reconciliation	High cost and no published pricing make procurement evaluation slow
SOC 2 compliance and security posture cited as a differentiator for institutional buyers	Advanced configurations reportedly require real technical expertise to set up
Backed and used by major real estate players including Nuveen Real Estate, RXR, and TA Realty	No dedicated mobile app, and no independent review base to check satisfaction against

12. PropStream: Self-Serve Investor Data

PropStream is built for the individual investor or small team who wants nationwide property data and lead generation in one subscription, not an enterprise procurement process.

Solution type	Real Estate Investor Data & Lead Generation Platform
Best for	Individual real estate investors, wholesalers, and small teams finding and contacting off-market or distressed property leads
Coverage	U.S. only, 150M+ property records nationwide
Primary strength	An all-in-one self-serve platform pairing nationwide property data with built-in skip tracing, direct mail, and a mobile Driving for Dollars app
Integration & delivery	Web dashboard, iOS/Android app, CSV export, add-on skip tracing and direct-mail tools
Watch-out	Data coverage and accuracy vary by county, and the product is built for individual-investor workflows rather than enterprise or institutional bulk-data needs

The pitch is breadth in one dashboard: 308M+ deeds, 185M+ mortgage records, 41M+ pre-foreclosure and distressed-property records, and 70M+ MLS-backed comps, searchable through more than 165 filters, then routed directly into skip tracing and outbound campaigns without leaving the platform. Pricing is published and tiered: Essentials at $99/month, Pro at $199/month, Elite at $699/month, each cheaper when billed annually, with a 7-day free trial that includes 50 leads.

Stewart Title acquired PropStream for $175 million in November 2021, and the company has since acquired BatchLeads and BatchDialer to round out its lead-engagement suite. Where PropertyShark goes deep on a handful of metros, PropStream goes wide across the whole country at investor-friendly pricing, the tradeoff being that data freshness and accuracy vary noticeably by county, which reviewers confirm.

Reviewer signal: G2: 4.7/5 across 193 reviews.

What Users Like	What Users Flag
Breadth of nationwide property and owner data across 165+ search filters in one dashboard	Data accuracy and freshness complaints in specific counties
Built-in skip tracing and the Driving for Dollars mobile tool cited as strong lead-gen differentiators	Reports of slow or unhelpful support, including account access issues without clear explanation
Several reviewers describe customer support as fast and helpful	Billing and cancellation disputes reported around the free trial, plus filter bugs for certain property types

13. CompStak: Crowdsourced Lease Comps

CompStak solved commercial leasing’s data problem by paying brokers in access instead of cash: contribute a comp, get free use of the database.

Solution type	Crowdsourced Lease & Sale Comps
Best for	CRE brokers, appraisers, and mid-market investors who want granular, deal-level lease and sale comps without CoStar’s price tag
Coverage	U.S. only
Primary strength	Deal-level, non-anonymized lease and sale comps sourced directly from working brokers, more granular than providers that anonymize or average their data
Integration & delivery	CompStak Exchange (free for verified brokers and appraisers who contribute data), CompStak One enterprise platform and API
Watch-out	Coverage depends on active local broker participation, so smaller or emerging markets and multifamily specifically run thinner than office, retail, and industrial

The exchange model is the whole idea: a broker who submits a real lease comp, starting rent, effective rent, concessions, term, gets free access to every other comp in the database, which keeps the data continuously current in a way that a purchased, static dataset cannot match. Users specifically call the deal-level (not averaged) granularity more accurate than what CoStar publishes, though CompStak’s own users estimate accuracy runs closer to 90-95% given the crowdsourced source.

CompStak raised a $50 million Series C in November 2021 and launched Portfolios, a real-time portfolio-benchmarking product on its CompStak One platform, in March 2025. The Enterprise tier’s auto-renewal terms draw specific complaints, reviewers cite a six-month opt-out notice even on accounts that go unused, which is worth flagging before signing a multi-year deal.

Reviewer signal: G2: CompStak Exchange rated 3.5/5 across 6 reviews. CompStak Enterprise has no G2 reviews yet, so treat both as directional given the small sample.

What Users Like	What Users Flag
Easy-to-use interface with granular search and filtering	Auto-renewal terms criticized, including a six-month opt-out notice on unused accounts
Deal-level, non-averaged data seen by users as more accurate than aggregator competitors	Crowdsourced data is not fully verified; users self-estimate roughly 90-95% accuracy
Crowdsourced contribution model keeps the database continuously updated	Multifamily and smaller/emerging-market coverage runs thinner than office, retail, and industrial

14. Zonda: New-Construction Housing Data

Zonda is the one provider on this list that does not compete on existing-home data at all. It tracks homes before they are built.

Solution type	New-Construction Housing Data & Market Intelligence
Best for	Homebuilders, land developers, and building-product suppliers who need lot-level new-construction data rather than existing-home resale data
Coverage	U.S. and Canada, Canadian presence via its Urban Analytics and Livabl acquisitions
Primary strength	A lot-level new-home community database built on decades of on-the-ground field research, combined with proprietary consulting
Integration & delivery	Enterprise data platform, custom consulting, published market reports, and consumer-facing marketplaces (NewHomeSource, Livabl)
Watch-out	A pending acquisition by CoStar Group could change pricing, product roadmap, or platform integration, so confirm deal status before signing a long-term contract

Zonda’s data traces back to Metrostudy, acquired by Hanley Wood in 2013, and its field-research heritage still defines the product: lot-level tracking of new-home communities, permits, pricing, and builder activity that general real estate data providers, focused on existing-home resale, simply do not collect. That specificity is why homebuilders and building-product suppliers use Zonda for forecasting rather than a broader platform like ATTOM or CoreLogic.

CoStar Group announced a definitive agreement to acquire Zonda for $800 million in cash on May 29, 2026, a deal expected to close in the second half of 2026. No independent review-platform data exists for Zonda, consistent with an enterprise consulting-plus-data model sold through direct relationships, and we are not substituting a manufactured score for that gap.

Reviewer signal: No reviews found on G2, Capterra, or TrustRadius. SourceForge lists a Zonda product page explicitly marked as not yet reviewed.

What Users Like	What Users Flag
Lot-level new-home community data with a field-research heritage competitors don’t replicate	No independent review-platform data exists to check buyer satisfaction
Proprietary consulting layered on top of the data, not just raw records	Pending CoStar acquisition (announced May 2026) creates near-term uncertainty on pricing and roadmap
Specific, differentiated coverage of a niche (new construction) other providers on this list don’t touch	No published pricing; every engagement starts as a custom conversation

15. Yardi (Matrix / CommercialEdge): Multifamily Market Data

Yardi Matrix draws its edge from a source most competitors don’t have: live data from the property management software running the buildings themselves.

Solution type	Property Management + Market Data Platform
Best for	Multifamily owners, lenders, and property managers already on or evaluating the Yardi Voyager ecosystem who want market data that plugs directly into their operating software
Coverage	U.S. only
Primary strength	Deep integration with Yardi’s widely used Voyager property management software, feeding market data from real operating properties rather than third-party estimates
Integration & delivery	Yardi Matrix web platform, CommercialEdge (exclusive connectivity for Voyager clients), SOAP-based web services for exporting property and rent-roll data
Watch-out	Coverage is U.S. only, pricing is not published, and independent review-platform data is too sparse to validate typical customer experience

Because Yardi’s Voyager software already runs the back office for a large share of U.S. multifamily properties, Yardi Matrix can source rent, occupancy, and supply data from properties actually operating on the platform rather than reconstructing it from public filings or surveys. That gives it a genuine edge specifically in multifamily, tracking over 92,000 multifamily properties and 18 million units across 135 U.S. markets, alongside office, industrial, self-storage, and student housing data through CommercialEdge.

Yardi does not publish Matrix pricing, and third-party estimates circulating online could not be verified against an official source, so we are not repeating an unconfirmed number here. In 2026 the company rolled out an affordable-housing data platform and revised multifamily supply and completions forecasts, signaling continued investment in the product rather than a legacy afterthought bolted onto the property management business.

Reviewer signal: G2 (Yardi Matrix): approximately 3.8/5 from only 2 reviews, too thin a sample to treat as a reliable independent signal.

What Users Like	What Users Flag
Fast access to market data that reviewers say speeds up decisions	At least one review flagged specific pages not loading properly
Described as a robust research tool for property- and market-level multifamily analysis	No published pricing to benchmark against before a sales conversation
Efficient way to view current market conditions inside a familiar Yardi workflow	Independent review volume is too thin to verify broader sentiment patterns

Head-to-Head Comparison: 2026 Snapshot

Provider	Solution Type	Primary Strength	Coverage	Best For	Integration & Delivery
Forage AI	Custom Workflow Intelligence	Decision-grade real estate intelligence operationalized across workflows	Global (custom-defined by use case)	Mid-to-large enterprises, institutional investors, enterprise brokerages, proptech platforms	Custom-built to integrate into any enterprise stack (CRM, internal systems, data warehouses, analytics tools)
Bright Data	Data Access Infrastructure	Large-scale raw and semi-structured data collection	Worldwide	Enterprises, data teams	API, cloud feeds
Datarade	Data Marketplace	Dataset and provider discovery	Worldwide	Vendor evaluation	Varies by vendor
ATTOM	Analytics Platform	U.S. historical depth across 3,000+ counties	U.S. only	Analysts, lenders, investors	API, bulk data
PropertyShark	Analytics Platform	Metro-level ownership and zoning insights	U.S. metros (strongest in NYC)	Urban analysts	Platform, files
CoreLogic (Cotality)	Analytics Platform	Risk & BI integration for mortgage and insurance	U.S. only	Large institutions	API, cloud platforms
CoStar Group	Commercial Real Estate Data Platform	Field-verified comps from 1,600+ in-house researchers	U.S., Canada, UK, France	Commercial brokers, institutional investors	Platform (CoStar Suite), API
MSCI Real Assets (RCA)	Global CRE Transaction Data	20+ years of verified global transaction and capital-flow data	Global (170+ countries)	Institutional investors, lenders, researchers	Platform, institutional data feeds
Reonomy	Ownership Intelligence	LLC-piercing entity resolution	U.S. only	CRE brokers and lenders prospecting owners	Platform, Bulk Data Feed, API
HouseCanary	Automated Valuation Model	Institutionally trusted valuation accuracy	U.S. only	Institutional investors, lenders	API, Solutions Platform
Cherre	Data Management Platform	Knowledge-graph entity resolution across 50+ sources	Primarily U.S.	Institutional owners, asset managers	Cloud platform, connectors, API
PropStream	Investor Data & Lead Generation	Nationwide data plus built-in skip tracing	U.S. only	Individual investors, wholesalers	Web dashboard, mobile app
CompStak	Crowdsourced Comps	Deal-level, non-anonymized lease and sale comps	U.S. only	CRE brokers, appraisers, mid-market investors	Exchange platform, Enterprise API
Zonda	New-Construction Housing Data	Lot-level new-home community database	U.S. and Canada	Homebuilders, developers, suppliers	Enterprise platform, consulting
Yardi (Matrix / CommercialEdge)	Property Management + Market Data	Live data sourced from operating Voyager properties	U.S. only	Multifamily owners, lenders on Yardi	Platform, CommercialEdge, web services

The Future of Real Estate Data: From Insight to Integration

Looking across these providers, a clear trend emerges.

From static to dynamic

Quarterly reports and static dashboards can’t keep up with fast-moving markets. Teams increasingly need real-time signals.

From analysis to action

Predictive insight is valuable only when it triggers timely action. Alerts like “this owner just listed” matter more than retrospective charts.

From silos to systems

Data locked inside portals slows teams down. Intelligence that lives natively in CRMs compounds value every day.

The role of AI

The next phase of real estate data is not more aggregation, it’s intelligent matching, relationship graphing, prioritization, and automation. These are precisely the AI technologies transforming real estate data, from agentic extraction to predictive valuation, that workflow-native platforms are built to operate on.

Frequently Asked Questions

What are the three models of real estate data solutions in 2026?

The market organizes into three models. Data aggregators and marketplaces prioritize availability and hand cleaning, validation, and enrichment back to internal teams. Analytics and intelligence platforms aggregate structured datasets to deliver valuation models, market trends, and risk insights, mostly for the U.S. Automated workflow solutions continuously source and validate data, resolve ownership and entity relationships, apply business logic, and deliver intelligence directly into operational infrastructure.

Which real estate data providers offer global versus U.S.-only coverage?

Genuinely global coverage is rarer than it looks. Bright Data and Datarade offer worldwide reach as infrastructure and marketplace layers, MSCI Real Assets covers commercial transactions across 170+ countries, and Forage AI offers global coverage that is custom-defined by use case. Everything else on this list, ATTOM, PropertyShark, CoreLogic, CoStar (plus UK/Canada/France), Reonomy, HouseCanary, Cherre, PropStream, CompStak, Zonda, and Yardi Matrix, is U.S.-focused, with several going deeper still into specific metros or asset classes. The right choice depends on whether your use case requires worldwide visibility or deep, precise coverage within a single market.

Who is Forage AI best for?

Forage AI is best for brokerages, investor teams, and sales operations leaders who want intelligence to appear automatically inside their daily workflow, without spreadsheets, portals, or manual research. It is built for organizations where real estate data is a core operational dependency rather than a side input. It is optimized for operational efficiency and revenue workflows, not for distributing raw global datasets to data science teams.

How should I evaluate a real estate data provider?

Align evaluation criteria with how your team actually works. Assess coverage and geography, data depth and sources, delivery and integration, compliance and ethics, scalability and support, and transparency and trust. Delivery and integration is the most often underweighted, because data must integrate directly into operational systems like CRMs to create value rather than remain siloed.

Is there a single best real estate data provider?

No. There is no universally best real estate data provider, only the provider aligned to how your organization operates. If you need raw data access or experimentation, marketplaces and access platforms may suffice. If you need analytical depth for specific markets, traditional intelligence platforms remain valuable. If your business depends on continuous, accurate, operational real estate intelligence, then infrastructure matters more than datasets.

Conclusion: Choosing Your Intelligence Partner for 2026

There is no universally “best” real estate data provider. There is only the provider aligned to how your organization operates.

• If you need raw data access or experimentation, marketplaces and access platforms may suffice.
• If you need analytical depth for specific markets, traditional intelligence platforms remain valuable.
• If your business depends on continuous, accurate, operational real estate intelligence, then infrastructure matters more than datasets.

For organizations operating at scale, Forage AI is built to be that intelligence layer,  turning fragmented data into reliable, actionable signals embedded directly into how teams work.

The real question for 2026 isn’t:

What data do we need?

It’s:

How do we eliminate friction between insight and action?

That answer determines who leads, and who reacts.

Connect with Forage AI to explore what a workflow-first real estate data strategy looks like for your team.