About Dremio OSS
Dremio is a data analytics platform aimed at organizations that want to query and analyze large volumes of data without first moving or copying it into a separate, dedicated analytics database. It positions itself as filling a gap between raw data storage and the tools people need to get value out of that data.
The open-source edition can be built and run locally, exposing a web UI at localhost:9047 once started, or installed as a production tarball for server deployment, with an embedded mode also available. Building it requires a specific combination of JDK versions (21 as default, with 17 and 11 configured in the Maven toolchain for certain tests) plus Maven, reflecting a substantial, enterprise-grade Java codebase.
The README notes that to provide the best possible experience, the build includes some dependencies distributed under non-open-source licenses, so the fully open-source experience may differ slightly depending on build configuration. Dremio is written in Java and the open-source edition is released under the Apache-2.0 license, with full documentation hosted separately.
Key features
- SQL analytics directly on lake and warehouse data
- Web-based query interface
- Local and production deployment modes
- Built on a Java codebase with Maven tooling
- No data duplication required for analytics
Good fit for
- →Querying data lakes with SQL without ETL
- →Self-hosted analytics on existing data storage
- Built with
- Java
- Tags
- data-lakehouse
- analytics
- sql
- big-data
- java
- self-hosted
- open-source
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