Query BrightCat directly inside Snowflake: no ingestion, no pipelines, no delays.
Listings, sold prices, the property master file, commercial, and the investor and renovation signal tables, queryable in your account.
If your data can't be used instantly, it's already outdated.
Traditional data workflows require ingestion pipelines, transformation layers, and ongoing maintenance. By the time data is ready, it's already stale.
Most data providers stop at delivery. You still have to build everything else.
BrightCat is delivered directly inside Snowflake. No ETL. No exports. No replication. You query it as if it's your own data.
Join listings with your customer base. Identify movers as they enter the market. Analyze pricing, supply, and risk signals: updated weekly, reflecting real-time market activity.
No movement. No lag. No friction.
If your data takes time to ingest and process, you're reacting to old data.
BrightCat removes that delay.
Most datasets stop at delivery. BrightCat is queryable by AI systems through MCP.
AI systems can query BrightCat data in Snowflake to identify movers, analyze property signals, and act on market signals.
Your AI detects PreMovers, analyzes pricing trends, monitors supply and risk, and acts on signals immediately. Directly from Snowflake.
In practical terms, BrightCat data becomes a queryable layer for AI-driven decision systems.
Each listing is a free trial table you can query in your own Snowflake account the moment you install it, with the full file available from BrightCat Data Ltd. Search the Marketplace for BrightCat, or open a listing below.
Every listing carries the same standardized address, postal code and FSA, so they join to each other and to your own files.
Secure Data Share. No data duplication. Access controls preserved. Always up to date.
Snowflake delivery ensures secure, scalable access to real estate data across enterprise systems.
BrightCat data in Snowflake covers the Canadian property market across all provinces and major metropolitan areas.
Trusted by enterprise data platforms, proptech builders, and property intelligence teams across Canada.
Updated weekly. Reflecting real-time market activity. Usable by AI systems to query, analyze, and act on market signals.
Pipelines introduce delay, complexity, and failure points. Direct access removes all three.
Still have questions? Talk to our team.
Real estate data as a Snowflake-native dataset, sold-data access patterns, and the timing advantage of listing signals.
Access BrightCat inside Snowflake and work with the market: updated weekly.