Dremio, the easy and open data lakehouse, today announced the public preview of Dremio Cloud for Microsoft Azure. The SaaS solution offers companies self-service analytics coupled with data warehouse functionality and the flexibility of a data lake, all within an environment characterized by rapid setup and deployment, automatic upgrades, scalability, and advanced data lakehouse management features. Dremio Cloud enables companies to rapidly drive value from their data by delivering faster time to value and increased flexibility, while decreasing costs.

Dremio Cloud for Azure, built on Apache Arrow’s columnar foundation, offers organizations rapid and scalable query performance for analytical workloads. According to the company, Dremio’s native columnar cloud cache (C3) provides unparalleled throughput and rapid response times on Azure Data Lake Storage (ADLS). Paired with Reflections, our cutting-edge technology to accelerate analytic queries, Dremio delivers sub-second response times for BI workloads. This eliminates the necessity for BI extracts, giving users the ability to attain quicker business insights with reduced complexity and effort.

Dremio Cloud for Azure provides seamless federated data access across organizations’ environments, both in Azure and on-premises. Dremio Cloud can combine data located in cloud data lakes, leveraging modern table formats like Iceberg and Delta Lake, with existing RDBMSs. Delivering a semantic layer across all data provides companies a consistent and secure view of data and business metadata that can be understood and applied by all users. This allows organizations to effortlessly extend data access to a broader user base, resulting in quicker access and delivering greater business value. This seamless federated query access also helps eliminate data movement, reducing the dependency on complex ETL processes.

By simplifying data management and governance within lakehouse environments, Dremio Cloud for Azure increases value while decreasing costs. Dremio’s next-generation lakehouse catalog provides Git for Data capabilities that make it easier than ever to build, manage, and share data products.