StarRocks
StarRocks is a free, self-hosted analytical database for workloads such as multidimensional OLAP, ad hoc queries, and real-time, high-concurrency analytics.
What StarRocks is
StarRocks is a free, self-hosted analytical database for workloads such as multidimensional OLAP, ad hoc queries, and real-time, high-concurrency analytics. It is designed for large-scale analysis with sub-second queries. Its column-oriented, vectorized engine uses SIMD instructions, while its cost-based optimizer can reorder joins, rewrite subqueries, reuse common table expressions, and choose distributed join strategies.
StarRocks supports SQL and real-time ingestion, with row-level security and native role- and identity-based access controls. It can query Hive, Iceberg, Hudi, and Delta Lake data through external catalogs without moving that data. Listed integrations include Kafka, Flink, Tableau, Power BI, Datadog, JDBC, Airflow, dbt, and Superset. Deployment options include public and private clouds and on-premises environments, with manual or Kubernetes setup. Shared-data deployments can use object storage such as AWS S3, Google Cloud Storage, Azure Blob Storage, HDFS, and MinIO. It is licensed under Apache License 2.0.
Good
- Free Community Edition under Apache License 2.0
- Designed for sub-second queries at scale
- Queries several data lakes without data migration
- Supports manual and Kubernetes deployment
- Includes row-level security and access controls
Watch out
- Official binary packages support x86 deployments
- ARM deployment files require the StarRocks Docker image
- Self-hosted deployment requires setup
Who it suits
StarRocks suits teams building self-hosted analytics for real-time, high-concurrency or ad hoc workloads. It may also fit teams that need SQL analysis across data lakes and varied data sources.
Verdict
StarRocks combines a free, self-hosted database with real-time analytics, data-lake querying, and multiple deployment options. Check the deployment prerequisites and workload requirements before choosing it.
Plans and prices
From StarRocks's own pricing page, checked 30 Sep 2026.
| Plan | Price | What it gives you |
|---|---|---|
| StarRocks Community Edition | Free | — |
The facts
Each one read from StarRocks's own pages, with the date it was checked.
What it does
- Access control
- Its authorization options include native role-based and identity-based access control, with Apache Ranger integration.checked 30 Sep 2026
- Data lake analytics
- It can query data in Apache Hive, Iceberg, Hudi, and Delta Lake through external catalogs without data migration.checked 30 Sep 2026
- Deployment
- StarRocks can be deployed on public or private clouds and on-premises, with manual and Kubernetes deployment options.checked 30 Sep 2026
- Deployment prerequisite
- The official binary packages support x86 deployments; ARM deployment files are prepared using the StarRocks Docker image.checked 30 Sep 2026
- Integrations
- The integrations documentation lists Kafka, Flink, Tableau, Power BI, Datadog, JDBC, Airflow, dbt, and Superset among its integrations and tools.checked 30 Sep 2026
- Intended workloads
- Documented use cases include multidimensional OLAP, real-time and high-concurrency analytics, ad hoc queries, and unified analytics.checked 30 Sep 2026
- License
- StarRocks is licensed under Apache License 2.0.checked 30 Sep 2026
- Materialized views
- StarRocks can automatically update materialized views when base data changes and automatically rewrite queries to use suitable views.checked 30 Sep 2026
- Product
- StarRocks is a massively parallel processing analytical database designed for real-time analytics and sub-second queries at scale.checked 30 Sep 2026
- Query engine
- Its fully vectorized execution engine processes data in columnar form and uses SIMD instructions.checked 30 Sep 2026
- Query optimizer
- The cost-based optimizer includes common table expression reuse, subquery rewriting, join reordering, and distributed join strategy selection.checked 30 Sep 2026
- Security
- StarRocks supports SSL-encrypted connections and external authentication integrations for LDAP, JWT, and OAuth 2.0.checked 30 Sep 2026
- Storage options
- Shared-data deployments can use object storage including AWS S3, Google Cloud Storage, Azure Blob Storage, HDFS, and MinIO.checked 30 Sep 2026
- Support
- The project directs users to GitHub issues and a Slack community for questions and feedback.checked 30 Sep 2026
Money
- Free plan
- Yeschecked 20 Sep 2026
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