Snowflake has acquired Datometry for an undisclosed amount. Datometry, headquartered in San Francisco, California, specializes in empowering global enterprises to transition to cloud-native data management rapidly and efficiently. The company's suite of SaaS solutions, including Datometry Hyper-Q, qInsight, and qShift, enables organizations to replatform existing data warehouses to the cloud with up to 80% savings in time, cost, and risk, notably without requiring application rewrites. Their Adaptive Data Virtualization technology allows existing applications to run on new cloud databases seamlessly, eliminating the need for complex SQL or API changes.
This acquisition is strategically significant for Snowflake, a leading provider of a cloud data platform. Datometry's technology addresses a critical challenge for enterprises looking to leverage AI capabilities: the time-consuming and often costly migration of legacy data systems. By integrating Datometry's solutions, Snowflake aims to offer enhanced interoperability for legacy applications, accelerating enterprises' adoption of its AI Data Cloud. This move will enable customers to move their existing data workloads to Snowflake faster and more cost-effectively, reducing barriers to cloud migration.
The combination of Datometry's virtualization capabilities with Snowflake's platform is expected to create strong synergies. It will facilitate the rapid onboarding of various enterprise workloads, including ETL, business intelligence, reporting, and analytical tasks, directly onto Snowflake's AI Data Cloud. This integration is designed to help customers become AI-ready in record time, ensuring business users can quickly leverage Snowflake's capabilities without extensive re-engineering. The acquisition is poised to advance a broader vision of interoperability, strengthening Snowflake's position as a comprehensive solution for enterprise data management and AI readiness.