Snowflake continues to lead in innovative solutions tailored to help customers modernize their operations on the Snowflake AI Data Cloud, facilitating rapid migrations while minimizing delays, disruptions, and extended planning periods. The company offers free tools such as SnowConvert AI and the Snowpark Migration Accelerator, which are designed to mitigate migration risks and costs while simplifying code conversion, enabling clients to derive value from their data from the outset.
In a significant move, Snowflake has agreed to acquire the technology that powers the Datometry software migration solution. This acquisition aims to accelerate transitions from legacy data warehouses, such as Teradata, to the Snowflake platform, achieving speeds up to four times faster and reducing costs by as much as 90%. This partnership marks an exciting opportunity for both existing and prospective customers, enhancing their data migration journeys with a reliable, efficient solution.
Datometry’s technology allows for real-time translation of queries, scripts, and workloads, ensuring that applications originally built for older systems can operate seamlessly on Snowflake with minimal modifications to the code. This integration is poised to dramatically improve the user experience and efficiency of data migrations.
Snowflake is eager to incorporate Datometry’s strengths into its SnowConvert AI framework. The acquisition will also welcome many skilled Datometry employees to the Snowflake team, including founder and CEO Mike Waas, CTO Michael Duller, and VP of Customer Success Rima Mutreja. Their profound expertise and understanding will be invaluable in advancing innovative data migration strategies within the Snowflake AI Data Cloud.
With an already robust offering that includes an enterprise-ready cloud-native architecture and a suite of AI solutions, Snowflake is well-positioned to streamline customer migrations. This new collaboration with Datometry will further enhance customer experiences, significantly reducing the time and effort needed for application and tooling migrations, ultimately translating into faster value realization for clients. The future looks promising as Snowflake continues to prioritize innovation and customer success in the evolving landscape of data management.