Data lakehouse supplier Dremio announced the public preview of Dremio Cloud for Microsoft Azure. It offers companies self-service analytics coupled with data warehouse functionality and the flexibility of a data lake. It’s built on Apache Arrow’s columnar foundation, and offers organizations rapid and scalable query performance for analytical workloads. A native columnar cloud cache (C3) provides fast throughput and rapid response times on Azure Data Lake Storage (ADLS). The software delivers sub-second response times for BI workloads.
Dremio Cloud can combine data located in cloud data lakes, leveraging modern table formats like Iceberg and Delta Lake, with existing RDBMSes. By delivering a semantic layer across all data, it provides customers with a consistent and secure view of data and business metadata that can be understood and applied by all users.
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