Matillion, a developer of cloud data integration software for Amazon Redshift, Google BigQuery, and Snowflake, raises $35M Series C led by Battery Ventures
It's safe to say that data warehouses — large stores of data accumulated from a range of systems — are having a moment.
Context & Ripple Effects
Matillion's $35M Series C lands mid-way through the funding wave that Snowflake's private-market run kicked off — the vendor had raised $450M at a $3.5B valuation just months earlier, and every dollar flowing into the warehouse platform raises the value of tooling that moves data into it. Matillion sells exactly that layer: integration software built natively for Amazon Redshift, Google BigQuery, and Snowflake rather than ported from on-premise ETL.
The arc since then validates the bet. Matillion went on to raise a $100M round led by Lightspeed in early 2021 and then $150M at a $1.5B valuation from General Atlantic within the same year — a steepening trajectory that tracks the warehouses' own growth.
First-order effects
- Battery Ventures' capital funds Matillion's push to deepen native integrations across its three target warehouses, where Snowflake's rapid scaling makes connector depth a live competitive requirement.
- The round signals to enterprise buyers that the cloud-native integration category is durably funded, de-risking adoption of a startup tool over incumbent ETL suites.
Second-order effects
- Adjacent tooling vendors building on the same platforms — Hex's analytics workspace with Snowflake and BigQuery integrations, Firebolt's warehouse challenger — compete for the same data-team budgets, pushing each toward broader platform coverage.
- Snowflake, BigQuery, and Redshift benefit from a richer third-party ecosystem, which becomes a selling point in their competition for workloads migrating off legacy warehouses.
Third-order effects
- If the pattern holds, the modern data stack stratifies into specialized layers — warehouses, integration, transformation, analytics — with venture capital funding a vendor at each seam, and later-stage pressure toward consolidation as enterprises tire of stitching point tools together.
The trend: Cloud data warehouses are becoming platform economies, with each round of warehouse growth pulling follow-on funding into the integration and analytics vendors layered on top.