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Unify, manage, and analyze real estate data for data-driven insights and competitive advantage.

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Tracked since2026
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The Bottom Line

Entry price

Paid plans only

Biggest pro

Centralizes and standardizes diverse real estate data

Biggest con

Specific pricing information is not publicly available

TL;DR - Cherre

  • Unifies and manages real estate data from diverse sources.
  • Provides a comprehensive real estate data knowledge graph for insights.
  • Offers flexible data ingestion, integration, and egress capabilities with strong security.
Pricing: Paid only
Best for: Enterprises & pros

What is Cherre?

Editorial review
Cherre is a leading data management and insights platform specifically designed for the real estate industry. It enables organizations to move from disparate data collection to connected data, providing a flexible architecture for rapid innovation. The platform helps real estate professionals leverage all their connected data to unlock sustainable competitive advantages, empowering data science teams with clean and standardized information. The platform offers seamless ingestion, connection, and consumption of real estate data across an organization. It provides various data ingress options including pre-built connectors for internal systems, a submission portal for third-party vendors, and secure SFTP for managed service providers. Cherre standardizes, integrates, and maps data, building a comprehensive Data Fabric that includes public data like property characteristics, valuations, and demographics, all connected through a vast real estate data knowledge graph. Users can search across their data using a powerful API, perform geospatial queries, and conduct aggregate analysis to improve reporting accuracy and gain deeper insights into asset performance. The platform also offers extensive reporting and analytics dashboards and can egress data to existing data warehouses, BI tools, and other systems, all while maintaining strict compliance and security standards.

Available on: Web

Pros & Cons

Pros

  • Centralizes and standardizes diverse real estate data
  • Provides a vast real estate data knowledge graph for rich insights
  • Accelerates data integration with pre-built connectors and flexible ingestion options
  • Enhances data-driven decision-making and competitive advantage
  • Ensures data security and compliance with SOC-2 certification

Cons

  • Specific pricing information is not publicly available
  • Requires integration with existing systems which may have an initial setup effort
  • Focuses specifically on real estate data, limiting applicability for other industries

Preview

Key Features

Pre-built connectors for ERP, deal management, and leasing platformsThird-party vendor and investment manager data submission portalSecure SFTP for managed service provider data ingestionData Fabric with mapped and resolved public real estate data (property characteristics, valuations, demographics, etc.)API for searching across connected datasets, geospatial queries, and aggregate analysisExtensive library of reporting and analytics dashboardsData egress to Snowflake, AWS, Azure, BigQuery, and SFTPSchema mapping engine for source-to-target and Cherre standard model mapping

Pricing

Paid

Cherre offers paid plans. Visit their website for current pricing details.

View pricing

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Cherre FAQ

How does Cherre support real estate professionals in making data-driven decisions?

Cherre helps real estate professionals by unifying, managing, and analyzing real estate data to provide data-driven insights. It standardizes and integrates various data sources, building a comprehensive Data Fabric that includes public data, property characteristics, valuations, and demographics. This allows users to perform aggregate analysis and improve reporting accuracy for deeper insights into asset performance.

What kind of user benefits most from Cherre?

Cherre is best suited for real estate organizations and data science teams within those organizations. It empowers these teams with clean and standardized information, enabling them to leverage connected data for rapid innovation and sustainable competitive advantages. The platform is designed for professionals who need to manage and analyze diverse real estate data effectively.

How does Cherre compare to Lofty in terms of data management?

Cherre differentiates itself by focusing on unifying, managing, and analyzing real estate data through a flexible architecture and a vast real estate data knowledge graph. It offers various data ingress options, including pre-built connectors and a submission portal, to build a comprehensive Data Fabric. This approach aims to provide a connected data environment for rapid innovation and deeper insights.

Does Cherre include a free tier?

Cherre does not offer a permanently free tier. It is a paid product designed for organizations seeking advanced real estate data management and analytics capabilities. Specific pricing information is not publicly available.

What are the primary limitations of using Cherre?

A primary limitation of Cherre is its specific focus on real estate data, which limits its applicability for other industries. Additionally, while powerful, it requires integration with existing systems, which may involve an initial setup effort. Specific pricing details are also not publicly disclosed.

How does Cherre handle data ingestion from various sources?

Cherre offers seamless ingestion of real estate data through multiple options. These include pre-built connectors for internal systems, a submission portal for third-party vendors, and secure SFTP for managed service providers. This flexibility ensures that diverse data can be brought into the platform for standardization and integration.

Can Cherre integrate with existing business intelligence tools?

Yes, Cherre is designed to integrate with existing business intelligence tools and other systems. It can egress data to existing data warehouses and BI tools, allowing organizations to leverage their current analytics infrastructure while benefiting from Cherre's standardized and connected real estate data.

Source: cherre.com

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