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Cherre

#50 of 58 in Real Estate Analytics Software

Cherre: A cloud platform for consolidating, validating and analyzing real estate data. Ranked #50 of 58 in Real Estate Analytics Software by our editors (4.1/10); pricing: Pricing on request; best for real estate teams consolidating portfolio data.

4.1/10Editor score
Cherre4.1 Visit Cherre

At a glance

  • Editor score
    4.1 / 10
  • Pricing
    Pricing on request
  • Best for
    Real estate teams consolidating portfolio data
  • Market coverage
    Global
  • Founded
    2016 · New York City, New York, United States
  • Facts checked
    29 Sep 2026
  • Where it wins

    • Ingests data through connectors, uploads, a portal and secure SFTP
    • Combines schema mapping, entity resolution and automated validation
    • Offers portfolio dashboards, APIs and cloud-warehouse egress
  • Where it doesn't

    • Platform pricing requires a sales conversation
    • Advanced data workflows may need integration and data-model work
    • Not positioned around dedicated valuation or rent analytics

Our verdict on Cherre

Cherre is a cloud-based real estate data management and analytics platform for investment managers, asset managers, insurers, banks and other enterprises. It brings internal and third-party data into a universal model, then supports portfolio reporting, market analysis and connected workflows through dashboards, APIs and data egress. Its mid-market and enterprise orientation makes it a fit for teams that need to consolidate property data across portfolios, rather than a narrowly focused valuation or rent analytics tool.

Data handling is the platform’s central strength. Ingestion options include connectors, uploads, a submission portal and secure SFTP; schema mapping and entity resolution help align records, while automated validation, profiling and observability support data quality oversight. Teams can use geospatial, aggregate and large-volume API queries, and dashboards for asset and portfolio management. Connections to Snowflake, AWS, Azure, BigQuery and SFTP, along with a marketplace for third-party applications and datasets, suit organizations that want analysis tied into an existing data environment. The breadth also means buyers should assess how much modeling and workflow configuration their implementation requires.

According to the vendor’s pricing information, Cherre does not publish standard platform plan prices and requires a sales conversation. The AI agent marketplace describes usage pricing of roughly $1–$99 per run for many workflows; that is not a general platform subscription price. The platform includes AI agent marketplace access and custom Agent STUDIO workflows, as well as SOC 2 compliance and support through email and documentation. Choose Cherre when data consolidation, governance and portfolio analysis are priorities and a cloud-based, API-accessible system fits the team. Look elsewhere if the requirement is a dedicated valuation or rent analytics product, or if public, fixed platform pricing is essential.

Cherre pricing

Plans Pricing on request No free plan — trial or paid only. Prices re-checked Sep 2026.
See plans on cherre.com

Cherre fact sheet

Free planNot verified
Paid fromNot verified
Valuation and CMANot verified
Rent and occupancyNot verified
Portfolio analyticsYes
Comparable sales dataNot verified
Market coverageGlobal
Historical data spanNot verified
API accessYes
DeploymentCloud
PlatformsWeb
Compliance & securitySOC 2
SupportEmail, Docs
Built forMid-market, Enterprise (editorial estimate)
Integrations5 integrations: Snowflake, AWS, Azure, BigQuery, SFTP See all →
PricingPricing on request
Websitecherre.com
Facts checked29 Sep 2026

Cherre integrations

Cherre lists 5 integrations on its own site.

  • Snowflake
  • AWS
  • Azure
  • BigQuery
  • SFTP

See all Cherre integrations →

Alternatives to Cherre

See all Cherre alternatives →

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Featured on iTechGuides

Featured on iTechGuides — Cherre 4.1/10

Cherre is listed in our Real Estate Analytics Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026

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