Dremio is an open data lakehouse, providing self-service SQL analytics, data warehouse performance and functionality, and data lake flexibility across all of your data. Dremio increases agility with a revolutionary data-as-code approach that adopts Git concepts to enable data experimentation, version control, and governance. In addition, Dremio breaks down data silos by simplifying ingestion into the lakehouse, and enabling queries directly on databases and data warehouses.

Dremio features:

• Interactive-speed queries directly on ADLS, without the need for proprietary data warehouses, data marts, BI extracts or cubes.

• A governed, self-service semantic layer that enables data engineers and business analysts to discover, curate, and collaborate.

• The ability to blend ADLS data with data in other repositories, including relational and NoSQL databases, on-premises and cloud object storage, and HDFS, without replicating data.

• Data discovery and curation features that let analysts and data scientists build and share virtual datasets without writing code.

• Out of the box, one-click integration with Power BI and other BI tools.

• Fine-grained access control and powerful data governance and data lineage features.