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:

• A lightning-fast SQL query engine based on Apache Arrow, a popular open source project created by Dremio.
  
  
• A columnar cloud cache (C3) accelerates access to Amazon S3, and data reflections optimize the performance of Tableau, Power BI, and other BI tools without replicating data.
  
  
• A self-service semantic layer, consisting of virtual datasets in a hierarchical namespace, enabling self-service data access for technical and non-technical data consumers. The semantic layer centralizes security and governance while exposing consistent business logic and KPIs to all data consumers.
  
  
• The ability to join data across Amazon S3, other relational and NoSQL databases, on-premises object storage and HDFS, without replicating data.