This is the answer most vendor comparison pages refuse to give. Picked for the most-common CRE Broker / Investment Sales / Acquisitions Analyst buyer in 2026. Your specific constraint may move the order — see the use-case table below for the persona-specific call.
| Rank | Vendor | Operator reason |
|---|---|---|
| 1st | CoStar | deepest comp data + broadest market coverage; the de facto institutional standard the rest of the industry quotes against; pay the premium when you actually use the depth |
| 2nd | Crexi | SMB / mid-market broker winner on UX + price + auction-marketplace velocity; modern operator experience; gaining share fast |
| 3rd | Cherre | data-engineering / analytics workflow leader; integrate CRE data into your own warehouse + BI; not a broker UI play |
| 4th | LoopNet | CoStar-owned listing marketplace; the buyer-facing top-of-funnel for CoStar listings; not the research platform |
| 5th | Reonomy | skip-trace + property owner research; strong for cold-outreach prospecting; narrower than the platforms above for general brokerage |
Forced ranking is the answer for the average buyer. Your situation is not the average. Find the row that matches your constraint.
| If you're… | The right pick is… | Why |
|---|---|---|
| Institutional broker / acquisitions team needing deepest comp data + market coverage | CoStar | de facto institutional standard; comp depth is the moat |
| SMB / mid-market broker prioritizing UX + reasonable price + marketplace velocity | Crexi | modern operator UX + auction marketplace at fraction of CoStar price |
| Data-engineering / analytics team integrating CRE data into a warehouse / BI stack | Cherre | raw-data integration; built for analytics workflows, not broker UIs |
| Owner-rep / tenant-rep broker doing buyer-facing listing distribution | LoopNet | buyer-facing marketplace; pair with CoStar for research backbone |
| Cold-outreach prospecting team needing property owner skip-trace data | Reonomy | owner / contact data depth; narrow but useful for outbound prospecting |
| Solo broker on tight budget needing 'good enough' comp + listing data | Crexi | best free + paid tier value; modern UX wins at SMB scale |
Honest read on positioning, ideal customer, and where each one is the wrong call. No vendor sponsorship, no affiliate-spam ranking — operator-grade signal.
Most CRE platform comparison pages refuse to rank by buyer profile because their revenue model depends on staying neutral. SideGuy ranks because it doesn't take vendor money — operator-honest, no affiliate sponsorship swap. Here's the call by buyer persona.
Your problem: need credible comp + listing data to win pitches, can't justify $1K+/user/mo CoStar, every dollar in subscriptions has to pay back in closed-deal fees, you wear the analyst + broker + marketer hats yourself.
Your problem: mid-market deal flow, need comp + listing data your brokers will actually use daily, distribution matters for owner-rep mandates, training-time-per-broker is a real cost, you need a stack that scales without per-seat sticker shock.
Your problem: sourcing + underwriting acquisitions at institutional scope, comps must be defensible to investment committee + lenders + appraisers, you need raw data feeds for proprietary models, broker UIs are too slow for your workflow, integration into your warehouse + BI stack is the real constraint.
Your problem: negotiating enterprise contracts across 100+ seats, CoStar is the institutional default but the bill is $500K-$1M+/yr, you need to defend the spend to a CFO, asset diversity across markets and product types means no single platform covers everything, integration into proprietary systems is non-negotiable.
CoStar's pricing is engineered for the deepest user. If you actually use the institutional comp depth + tenant data + market analytics modules every day, CoStar is justified. The problem: most brokers are paying for the institutional depth and using maybe 30% of it.
The honest test: if you can describe your last three deals using comps from any source, you don't need CoStar — Crexi will do the job at 10-20% of the cost with a modern UX. If you're a Marcus & Millichap / Cushman / JLL institutional broker whose underwriting must be CoStar-citable for lender / investor / appraiser audiences, CoStar is the right answer (the brand recognition is the moat).
This is anti-enterprise-bloat territory. The industry default is 'CoStar because that's what real brokers use.' The honest read is 'CoStar when your buyer / lender requires CoStar-citable data; otherwise Crexi delivers most of the value for a fraction of the cost.' The forced ranking gives CoStar the #1 slot because the institutional standard is real — but the use-case table is where most buyers should be picking.
Pay for CoStar when your lender / investor / appraiser demands it.
Otherwise Crexi delivers most of the value for 10-20% of the cost.
The 7 questions readers send most often after reading the comparison. Answers are tier-aware, opinion-bearing, and updated as the category moves.
CoStar wins for institutional brokers in 2026. The de facto data standard that lenders, appraisers, and institutional investors quote against — your BOVs and underwriting need to cite CoStar comps to be credible at institutional scope. Crexi is the close alternative when speed and UX matter more than institutional brand recognition; Cherre when your team needs raw data integration into a custom analytics stack. But the moat for institutional CRE is CoStar's comp depth + cite-ability.
CoStar wins on data depth — broader market coverage, deeper tenant + lease data, longer historical comp record, and the institutional citation standard. Crexi wins on price (often 10-20% of CoStar's cost), UX (modern SaaS feel), and marketplace velocity (auction transactions). For SMB / mid-market deals where institutional citation isn't required, Crexi delivers most of the value. For institutional underwriting where every comp is scrutinized by lenders / appraisers, CoStar's depth is the moat. They're not really competing in the same buyer profile.
Usually no — CoStar's pricing is engineered for institutional users who actually use the deepest data layers daily. Most small / mid-market brokers use maybe 30% of what they're paying for. Crexi delivers 70-80% of the practical value at 10-20% of the cost with a modern UX. Pay up for CoStar when your lender / investor / appraiser audiences explicitly require CoStar-citable data, when you're representing institutional sellers / buyers who expect CoStar in the BOV, or when tenant-data depth is the binding constraint.
Crexi is the fastest onboarding — modern UX + free tier + affordable paid tier means a new broker can be productive in days, not weeks. LoopNet is similarly fast for the listing-distribution side. CoStar onboarding is slower (training + module-by-module learning curve) — institutional teams typically have a multi-month adoption ramp before brokers extract full value. Cherre isn't a broker UI — onboarding requires data-engineering capacity, not broker training.
Cherre is the integration-first answer — built API-first to push CRE data into any downstream warehouse, BI, or CRM. CoStar has Salesforce integrations but the philosophy is data-stays-in-CoStar; integration is more limited. Crexi has growing CRM integration story but trails Cherre on data-engineering depth. For brokerages running VTS / Hightower / proprietary CRM workflows, the realistic stack is CoStar (or Crexi) for primary research + Cherre for warehouse-level data integration when scale justifies it.
CoStar prices per user + per market + per module. Pricing is not publicly listed; per industry-standard estimates, individual broker access often lands $400-1,500/user/mo depending on market access tier; institutional brokerage firm contracts routinely run $50K-500K+/yr at full coverage; full multi-market enterprise contracts at large brokerages can exceed $1M/yr. Multi-year contracts are standard. Crexi paid tier is typically $50-300/user/mo for comparable mid-market coverage. Confirm directly — CoStar contracts are negotiated and pricing varies materially by market mix.
When you're SMB / mid-market and your deals don't require institutional-citable comps (use Crexi at a fraction of the cost), when you're a data engineer building a custom analytics stack (use Cherre instead — CoStar's API access is limited and expensive), when your primary need is property-owner skip-trace for cold outreach (use Reonomy), when you're an owner-rep doing pure listing distribution (use LoopNet alone — though LoopNet is CoStar-owned, you can use the marketplace without the full CoStar research subscription), or when you're testing the waters as a new broker and budget is the binding constraint (use Crexi free / paid tier first). CoStar is the right answer when institutional citation + comp depth is the actual moat — and the premium is acceptable as a cost of doing institutional business.
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