Snowflake Enters Agreement to Acquire Datometry Migration Solution

Cloud data platform leader Snowflake has unveiled a suite of migration enhancements powered by its recent acquisition of Datometry, enabling enterprises to move legacy systems and data to its AI Data Cloud at up to four times the speed.

The enhancements are embedded in Snowflake’s “SnowConvert” and other migration solutions, allowing organisations still running systems like Oracle, Teradata or SQL Server to shift to Snowflake with limited disruption.

Snowflake says the Datometry technology enables legacy code, queries, and workflows to run on its platform without heavy rewrites, lowering migration risk and cost.

“This integration marks a new era for large-scale enterprise migrations,” a Snowflake spokesperson explained. The combined toolset automates much of the conversion process, enabling companies to focus on strategic outcomes rather than reinventing architectures.

The timing is notable as organizations increasingly look to unify data, analytics, and AI on a single cloud platform. Snowflake’s strategy positions it as a one-stop destination for migration, data warehousing, and enterprise AI deployment.

Wall Street and customers alike have praised the move, viewing it as a catalyst for accelerating cloud adoption and reducing barriers to scale.

By integrating Datometry’s capabilities, Snowflake aims to render years-long migration projects into a matter of months, enabling clients to more rapidly extract value from their data, embrace generative-AI use cases, and avoid the legacy-lock obstacles that have hindered previous modernization efforts