Dremio is embracing generative AI with a three-step process adding Text-to-SQL, Autonomous Semantic Layer, and Vector Lakehouse functionality to its product.
The company supplies open-source Dremio Cloud lakehouse technology, with data persisted in Apache Iceberg format tables using Apache Parquet’s columnar data format. The lakehouse combines the capabilities of a more structured data warehouse and less structured data lake with self-service SQL analytics. Dremio’s view is that data warehouses rely on extract, transform and load (ETL) procedures to get data from different sources into the warehouse for subsequent analysis. With a lakehouse, data from multiple sources can be amalgamated into a data lake with no need for the ETL procedures to precede analytical processing.
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