StarRocks

Free plan LinuxSelf-hosted

What StarRocks is

StarRocks is a free, self-hosted analytical database for teams that need to analyze data as it arrives and run large-scale SQL queries with sub-second response goals. Its parallel processing design supports multidimensional OLAP, high-concurrency and ad hoc analytics, and unified analytics. A columnar, vectorized execution engine uses SIMD instructions to process queries. Its cost-based optimizer can reuse common table expressions, rewrite subqueries, reorder joins, and choose distributed join strategies. StarRocks can refresh materialized views when underlying data changes and redirect suitable queries to those views. It can also query data in Hive, Iceberg, Hudi, and Delta Lake through external catalogs without first migrating the data. The listed source coverage includes object storage, local filesystems, HDFS, Kafka, Flink, Spark, Hive, Iceberg, Hudi, Delta Lake, Elasticsearch, Paimon, and JDBC databases. Deployment options cover public or private clouds and on-premises environments, using manual or Kubernetes methods. Shared-data deployments can use several object storage systems. Security options include encrypted SSL connections, external authentication integrations, role- and identity-based access controls, row-level security, and Apache Ranger integration. StarRocks is licensed under Apache License 2.0.

Who it suits

StarRocks suits teams running SQL analytics that need real-time ingestion, high concurrency, or sub-second queries across substantial datasets. It is also relevant for organizations that want to query supported data lake formats in place and manage deployment on Linux infrastructure.

What it does well

Free Community Edition with real-time ingestion and SQL.
Vectorized columnar execution uses SIMD instructions.
Materialized views can refresh and serve rewritten queries automatically.
Queries supported lake formats through external catalogs without migration.
Offers row-level security and role- and identity-based access controls.
Supports manual and Kubernetes deployment across cloud and on-premises environments.

What to know first

The listed platform is Linux and self-hosted.
Official binary packages support x86; ARM deployment files require preparation using the Docker image.
It requires deployment and management in the user's environment.

Plans

Plan	Billed and limits	Price
StarRocks Community Edition	—	Free

As starrocks.io lists them, read 30 Sept 2026. The maker's own page has the final word.

Getting started

Open the StarRocks website.
Choose a public cloud, private cloud, or on-premises deployment environment.
Select manual or Kubernetes deployment.
For ARM deployment, prepare deployment files using the StarRocks Docker image.
Configure data sources, integrations, and security for your workload.

Verdict

Choose StarRocks if you need a free, self-hosted SQL analytics database with real-time ingestion, broad data-source coverage, and configurable deployment. Look elsewhere if you need a listed platform beyond Linux or prefer a service that does not require self-hosting.

Questions

How much does StarRocks cost?

The Community Edition is listed as free, and the pricing model is free.

Which platforms does it support?

The listed platforms are Linux and self-hosted. Deployment can be on public or private clouds or on-premises.

Can StarRocks query data lakes without copying data?

Yes. It can query Hive, Iceberg, Hudi, and Delta Lake through external catalogs without data migration.

What integrations and tools are listed?

They include Kafka, Flink, Tableau, Power BI, Datadog, JDBC, Airflow, dbt, and Superset.

Is StarRocks open source?

It is licensed under Apache License 2.0.

Where can users get project support?

The project directs users to GitHub issues and a Slack community for questions and feedback.

Facts from StarRocks's own pages

Access control: Its authorization options include native role-based and identity-based access control, with Apache Ranger integration. · docs.starrocks.io, 30 Sept 2026
Data lake analytics: It can query data in Apache Hive, Iceberg, Hudi, and Delta Lake through external catalogs without data migration. · docs.starrocks.io, 30 Sept 2026
Deployment: StarRocks can be deployed on public or private clouds and on-premises, with manual and Kubernetes deployment options. · docs.starrocks.io, 30 Sept 2026
Deployment prerequisite: The official binary packages support x86 deployments; ARM deployment files are prepared using the StarRocks Docker image. · docs.starrocks.io, 30 Sept 2026
Free plan: Yes · starrocks.io, 20 Sept 2026
Integrations: The integrations documentation lists Kafka, Flink, Tableau, Power BI, Datadog, JDBC, Airflow, dbt, and Superset among its integrations and tools. · docs.starrocks.io, 30 Sept 2026
Intended workloads: Documented use cases include multidimensional OLAP, real-time and high-concurrency analytics, ad hoc queries, and unified analytics. · docs.starrocks.io, 30 Sept 2026
License: StarRocks is licensed under Apache License 2.0. · starrocks.io, 30 Sept 2026
Materialized views: StarRocks can automatically update materialized views when base data changes and automatically rewrite queries to use suitable views. · docs.starrocks.io, 30 Sept 2026
Product: StarRocks is a massively parallel processing analytical database designed for real-time analytics and sub-second queries at scale. · docs.starrocks.io, 30 Sept 2026
Query engine: Its fully vectorized execution engine processes data in columnar form and uses SIMD instructions. · docs.starrocks.io, 30 Sept 2026
Query optimizer: The cost-based optimizer includes common table expression reuse, subquery rewriting, join reordering, and distributed join strategy selection. · docs.starrocks.io, 30 Sept 2026
Security: StarRocks supports SSL-encrypted connections and external authentication integrations for LDAP, JWT, and OAuth 2.0. · docs.starrocks.io, 30 Sept 2026
Storage options: Shared-data deployments can use object storage including AWS S3, Google Cloud Storage, Azure Blob Storage, HDFS, and MinIO. · docs.starrocks.io, 30 Sept 2026
Support: The project directs users to GitHub issues and a Slack community for questions and feedback. · starrocks.io, 30 Sept 2026