Databricks has teamed up with database virtualization provider Datometry to ease transitions from legacy data warehouses to its data lakehouse architecture. The integration aims to ease costs and the time required for migrating workloads, enabling enterprises to migrate their data warehouse workloads to Databricks with ease. Datometry’s software as a service platform allows data and applications written for on-premises data warehouses to run natively in the cloud, all while reducing migration time and costs. The move is part of an ongoing effort by Databricks to attract more customers and take on competitors like Snowflake. With the partnership, Datometry will provide its platform as a validated integration for the Databricks lakehouse.
Databricks is a vendor that helps set up data lakehouses for enterprises. Founded in 2013, the company aims to make it easier to store and analyse large amounts of data. Based in San Francisco, the company is backed by millions in venture capital.
Mike Waas is the CEO of Datometry, the database virtualization player that has partnered with Databricks. With more than 30 years of experience in databases, Waas has contributed to areas like database systems, query processing and partitioning in data warehousing, and the data management systems for machine learning. Waas has been with Datometry since the beginning, with a focus on seeing enterprises address the challenge of migrating from legacy databases to cloud platforms.
