Cortex Agents are only as good as the data behind them. Matia catches drift before it reaches Snowflake, so every answer traces back to a clean source.
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Observability runs at ingestion, so schema changes and bad records stop before they reach the tables your agents query.
Column-level lineage from source to Snowflake table, so any Cortex answer traces back to where the data came from.
ETL, Reverse ETL, Observability, and Catalog in one system. Parallel ingestion syncs up to 10x faster.
When AI agents point at production data, a silently drifting pipeline means confident answers from bad data. Matia catches drift before it lands in Snowflake and traces any answer back to its source.
Load data into Snowflake with parallel syncs you can actually see into. Then push modeled data back out to Salesforce, and the rest of the tools your business runs on.
Customers love Snowflake + Matia.
“Matia has been huge for us. We've seen significant improvements in reliability, fault tolerance, and product velocity.”
“Matia's integration with Snowflake was seamless. It was easy to set up, and was able to accommodate Kiva's unique requirements. Our compute warehouse spend stayed flat during and after the migration, which was great.”
“Moving to Matia, our goal was to unify siloed systems to move data faster and more reliably. The Matia Platform has lived up to the hype and more. Having a single source of truth for data means our engineers can focus on our product innovation, instead of fixing broken and inconsistent data pipelines.”
Launches, partnership news and hands-on guides for running Matia on Snowflake.
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