Snowflake Accelerates Data Migration with Datometry Technology

Key Highlights

  • Snowflake has entered into a definitive agreement to acquire the technology powering the Datometry software migration solution.
  • The acquisition aims to accelerate data migrations from legacy data warehouses like Teradata to Snowflake by up to four times faster and reducing costs by 90%.
  • This move will enable Snowflake’s current and future customers to benefit from faster data migrations using a proven, trusted solution.
  • The acquisition includes the integration of Datometry’s capabilities into SnowConvert AI, enhancing the overall migration experience for customers.

Acquisition of Datometry Accelerates Data Migration

Snowflake, a leading provider of cloud-based data warehousing and analytics services, has taken significant strides in modernizing its offerings by acquiring Datometry’s software migration solution. This strategic move was announced on November 10, 2025, marking a pivotal step towards enhancing the capabilities of Snowflake’s AI Data Cloud.

Enhancing Migration Speed and Cost Efficiency

The acquisition is aimed at addressing one of the most critical challenges faced by organizations: migrating data from legacy systems to modern cloud platforms. According to the announcement, Datometry’s technology makes moving from data warehouses such as Teradata up to four times faster while cutting costs by 90%. This significant improvement in efficiency will not only speed up the migration process but also reduce financial burdens on enterprises.

Integration with SnowConvert AI and Future Innovations

Snowflake’s plans for Datometry extend beyond integration; they are committed to leveraging the technology to enhance their existing offerings. The company is eager to start integrating Datometry’s capabilities into its SnowConvert AI solution, which simplifies code conversion and reduces migration risks and costs. This integration will allow applications built on legacy systems to run seamlessly on Snowflake with minimal code changes.

Welcoming Talented Professionals

The acquisition comes along with the addition of several key individuals from Datometry, including Mike Waas, the founder and CEO; Michael Duller, CTO; and Rima Mutreja, VP of Customer Success. These professionals bring valuable expertise to Snowflake’s team, enhancing its ability to innovate in data migration technology.

Impact on Future Customers

The integration of Datometry into Snowflake’s offerings is expected to provide a faster time-to-value for customers looking to modernize their data infrastructure. With the combined strengths of both companies, customers will benefit from an enterprise-ready cloud-native architecture, AI solutions, and support from Snowflake’s extensive partner ecosystem. This collaboration aims to streamline migrations and help organizations stay focused on innovation rather than dealing with complex technical challenges.

Expanding the Portfolio

Snowflake already offers a robust suite of products designed to enable fast and efficient data migration. By acquiring Datometry, Snowflake is expanding its portfolio to include more advanced capabilities that will cater to a broader range of enterprise needs. The company’s vision is clear: to be at the forefront of transforming how businesses leverage their data assets in the digital age.

Conclusion

The acquisition of Datometry by Snowflake signals a significant move towards enhancing data migration processes for organizations seeking to adopt modern cloud solutions. As enterprises increasingly rely on sophisticated analytics and AI-driven insights, the ability to quickly and efficiently migrate legacy data becomes paramount. With this acquisition, Snowflake is well-positioned to continue leading in the technology landscape, offering its customers a more streamlined path to harnessing the power of their data.