Best CRE Market-Data & Comps Platforms in 2026

Every CRE acquisitions and research team eventually asks the same question: which market-data platform do we actually pay for? The honest answer is that there is no single winner — these tools cover genuinely different layers. CoStar is the broadest dataset and the system of record most firms open first. Crexi is the deal marketplace. Reonomy is ownership and contact intelligence. CompStak is crowdsourced lease comps. Cherre unifies all of it. ATTOM and HelloData are the integrator-friendly API layers underneath. Buy the wrong one for your workflow and you pay five figures a year for data you can't action.

This guide ranks the seven platforms that matter most for acquisitions and research buyers — objectively, by use-case, not by who pays us. It also tells you the part the vendor demos skip: which of these you can legally and technically connect to, and which you can only ever work alongside. That distinction matters enormously once you try to build any automation on top of your data spend.

One disclosure up front: NextAutomation does not sell market data, and we are not the best choice in this category. The platforms below own the data. Where we fit is the layer above them — property enrichment and comp normalization that turn whatever sources you license into clean, decision-ready records. We'll be specific about that at the end, after the objective ranking.

The Platforms at a Glance

Read that last column carefully. The platforms with the richest data (CoStar, Reonomy, CompStak) are also the most restricted to connect to. The platforms easiest to automate (ATTOM, HelloData) cover narrower slices. That tension — coverage versus accessibility — is the central decision in this category.

Buyer Decision Criteria

Before comparing tools, get clear on what kind of data problem you're solving. Most firms need more than one of the four layers below — but you should buy in order of where the work actually stalls.

• Listings & marketplace coverage: Are you trying to see what's on (and recently off) the market? That's a marketplace question — Crexi for active deals, CoStar for the broadest historical and availability picture.
• Ownership & off-market intel: Are you trying to reach owners before a deal lists? That's an ownership-data question — Reonomy for entity, debt, and contact records; ATTOM for parcel-level ownership at scale.
• Lease comps: Are your underwriting assumptions getting challenged because your rent and concession comps are stale? That's a lease-comp question — CompStak for crowdsourced commercial leases; HelloData for automated multifamily rent comps.
• Data unification: Do you already license several sources and need them to speak one schema? That's a unification question — Cherre, or a lighter enrichment pipeline if you're not ready for a full data platform.

A second, non-negotiable criterion: licensing and access. Decide early whether you need the data to flow into other systems automatically. If you do, the works-alongside and customer-licensed constraints below will narrow your options before price ever does.

Honest Ranking by Use-Case

Broadest data — CoStar

If you want the single most comprehensive view of U.S. commercial real estate — sale and lease comparables, tenant and ownership data, availability, and submarket analytics — CoStar is the answer, and it isn't close. It's the system of record most institutional teams open first, and for good reason: the breadth and historical depth are unmatched.

The critical caveat every buyer must understand: CoStar has no sanctioned public API, and its terms of service prohibit automated or programmatic access to its data — a position it has litigated and enforces actively. There is no compliant way to scrape, sync, or pipe CoStar into another system. Any vendor promising a "CoStar integration" that implies a direct data connection is misrepresenting what's legally and technically possible. The correct and compliant model is to work alongside CoStar: your team uses the data under your own license, exports what your agreement permits, and automation operates on those authorized exports — never against the platform. See our CoStar integration page for exactly what that works-alongside model looks like.

Marketplace — Crexi

Crexi is the strongest active CRE marketplace — the place to see what's currently for sale, who's marketing it, and how it's priced. For acquisitions teams whose primary job is to not miss a listed deal, Crexi's marketplace surface and deal alerts are more directly useful day-to-day than a pure data subscription. It also offers a growing set of data and comp products, with limited partner access for select use cases.

Where Crexi is weaker: it is a marketplace first, so its dataset is shallower than CoStar's on historical comps and off-market ownership. Pair it with an ownership source if you also source off-market. See the Crexi integration page for current connection options.

Ownership & contacts — Reonomy

For off-market sourcing — finding and reaching owners before a property lists — Reonomy (now part of Altus) is the category standard. It maps ownership entities, debt and mortgage records, and contact information across commercial assets, which is exactly what a BD-driven acquisitions team needs to run an outreach motion.

The licensing reality: Reonomy is customer-licensed. Its partner-gated API carries redistribution restrictions, and access must be authorized under your own subscription — you cannot resell or republish its data. That's standard for premium ownership intelligence, but it shapes what any automation layer is allowed to do with the records. Details on the Reonomy integration page.

Lease comps — CompStak

When your underwriting hinges on credible lease assumptions — face rents, effective rents, free rent, TI allowances, escalations — CompStak's crowdsourced commercial lease comps are the deepest source of transaction-level detail most teams can get. Brokers and analysts contribute comps in exchange for access, which produces granularity public sources simply don't have.

Like Reonomy, CompStak is customer-licensed with no redistribution — you license it for your own analysis, and automation works within those terms. For multifamily specifically, HelloData (below) is often the more automatable rent-comp source. See the CompStak integration page.

Data unification — Cherre

If your problem isn't any single dataset but the fact that you already license five of them and none of them agree on what a "property" is, Cherre is purpose-built for you. It's a data-unification platform that ingests your licensed sources, resolves them to a common property graph, and exposes a queryable layer your analysts and tools can build on. For larger firms with a real data function, it's the most serious option in this list.

The honest framing: Cherre doesn't replace your data licenses — you still bring CoStar exports, Reonomy, ATTOM, and the rest under your own agreements. It unifies what you're already entitled to. Smaller teams often don't need a full platform yet and get most of the value from a lighter enrichment pipeline. See the Cherre integration page.

Integrator-friendly APIs — ATTOM & HelloData

If you're building anything programmatic — internal dashboards, automated screening, enrichment pipelines — ATTOM and HelloData are the two platforms designed to be connected to. ATTOM provides nationwide parcel, ownership, sales-history, and tax data through a documented API and bulk delivery, making it the workhorse for parcel-level enrichment at scale. HelloData reads the public listing market continuously to produce automated multifamily rent comps, unit-mix, and concession data through a documented developer API — the most automatable rent-comp source for multifamily teams.

Neither matches CoStar's breadth, and that's the point: they trade total coverage for clean, sanctioned, machine-readable access. For automation-minded teams, that trade is often worth it. See the ATTOM and HelloData integration pages.

Where AI Changes the Answer

Here's the part the platform comparison misses: the bottleneck for most acquisitions teams isn't which data they license — it's that the data arrives in mismatched formats and never gets reconciled. CoStar exports, Reonomy records, ATTOM parcels, and CompStak comps each describe the same property differently. Analysts spend hours stitching them together by hand for every deal. That's where automation moves the needle, regardless of which platforms win your ranking above.

• Property enrichment: A property-enrichment pipeline takes a property you're evaluating and assembles a unified record from every source you license — parcel and ownership from ATTOM, off-market detail from Reonomy, comps from CompStak or HelloData — into one clean profile, automatically. It operates strictly on data you're authorized to use, working alongside CoStar (never against it) and within each source's licensing terms.
• Comp normalization: Different sources report rents, square footage, and dates in different conventions. Automation normalizes comps to a single schema and flags outliers, so your underwriting model ingests apples-to-apples inputs instead of an analyst's manual cleanup.
• Decision-ready market context: A market report generator turns your normalized, enriched data into submarket context and a screening summary on demand — the IC-prep work that otherwise eats an afternoon per deal.

The principle is the same one we apply across the stack: AI doesn't replace your data subscriptions. It reads what you're licensed to use and produces clean, structured, decision-ready output — so the five figures you already spend on data actually compounds into faster decisions. We are explicitly not the #1 pick for the data itself; we're the layer that makes whatever you license usable.

Can screened-out deals become comparable evidence?

Yes, but preserve the difference between an asking price, your underwriting and a completed transaction. A rejected deal is useful for explaining your decisions; it does not establish the price at which a buyer and seller traded.

Fictional example: an industrial property is offered at $4.2 million. Your team passes because the permitted yard use is unconfirmed. Store $4.2 million as an asking price, retain the unresolved use question and exclude it from a closed-sale price average. If closing evidence arrives later, create a dated transaction observation rather than overwriting the old asking-price record.

Choose a platform that preserves those states and source references when a record is exported. For connecting the reviewed comp record to your acquisition model, start with NextAutomation’s underwriting workflow and the deal-screening handoff.

Lifecycle Fit: Sourcing → Underwriting

Map the platforms to where they earn their keep in the deal lifecycle, and the "which do I buy" question gets simpler:

• Sourcing (off-market): Reonomy for ownership and contacts; ATTOM for parcel-level targeting at scale. This is where outreach motions live, before anything lists.
• Sourcing (on-market): Crexi for active listings and deal alerts; CoStar for the broadest availability and historical picture.
• Screening: Enriched, normalized records — ideally assembled automatically — let you triage more deals against your buy-box without manual data wrangling.
• Underwriting: CompStak for commercial lease comps; HelloData for multifamily rent comps. Clean comps are the difference between a defensible model and a guess.
• Diligence & IC prep: Cherre (or an enrichment pipeline) holds the unified record; a market report generator turns it into the submarket narrative your IC memo needs.

For the broader view of how this data layer connects to underwriting, deal management, and investor reporting, see our pillar guide: The Complete CRE Software Stack. And if you want to map which enrichment and automation gives your specific source mix the fastest payback, our free roadmap call is the place to start.