Apache Doris
Apache Doris is an open-source, real-time analytical database for analytics and AI, available under the Apache License, Version 2.0.
What Apache Doris is
Apache Doris is an open-source, real-time analytical database for analytics and AI, available under the Apache License, Version 2.0. It uses an MPP architecture, supports standard SQL and the MySQL protocol, and is designed for sub-second queries. The project lists customer-facing analytics, data warehousing, observability, and AI applications such as RAG among its use cases. Data can be loaded from files, message queues, transactional databases, and other OLAP systems; Doris also supports updates, deletes, and exports. It can query Iceberg, Delta Lake, and Hudi tables in place. Search features include text and vector search alongside structured queries, and dynamic JSON is supported through VARIANT. Deployment options include machines, Kubernetes, and cloud platforms. The project offers maintained 4.1 and 4.0 downloads for x64 and ARM64, with signed and checksummed files. Local full deployment documentation specifies a mainstream AMD or ARM Linux environment and JDK 17 or later. Integrated deployments cannot scale compute independently; decoupled deployments require stable shared storage.
Good
- Open-source under Apache License 2.0.
- Supports streaming ingestion and incremental materialized views.
- Queries Iceberg, Delta Lake, and Hudi tables in place.
- Combines vector search, text search, and aggregation in SQL.
- Offers Linux deployment on machines, Kubernetes, or cloud.
Watch out
- Local full deployment requires Linux and JDK 17 or later.
- Integrated deployments cannot scale compute independently.
- Decoupled deployments need stable shared storage.
Who it suits
Doris suits teams building analytical databases for warehousing, observability, customer-facing analytics, or AI use cases. It is a fit for teams comfortable deploying and operating database infrastructure.
Verdict
Apache Doris combines real-time ingestion, analytical querying, and search in an open-source database with several deployment paths. Deployment choices come with distinct scaling and storage considerations.
The facts
Each one read from Apache Doris's own pages, with the date it was checked.
What it does
- Analytics
- Doris supports streaming ingestion, incremental materialized view refresh, and sub-second queries, according to the product site.checked 29 Sep 2026
- Community support
- The site directs users to Slack for setup help, performance tips, and answers from Apache Doris users and maintainers.checked 29 Sep 2026
- Data operations
- It supports loading data from files, message queues, transactional databases, and other OLAP systems, as well as transactional updates, deletes, and exports.checked 30 Sep 2026
- Deployment
- Doris supports integrated and storage-compute-decoupled deployments, with manual, Kubernetes, and cloud platform deployment options.checked 30 Sep 2026
- Deployment trade-off
- In integrated deployments compute resources cannot be scaled independently; decoupled deployments require a stable shared storage service.checked 30 Sep 2026
- Download
- The download page offers verified binaries and source tarballs for maintained 4.1 and 4.0 branches, with x64 AVX2, x64 without AVX2, and ARM64 architectures.checked 29 Sep 2026
- Downloads
- The download page offers binaries and source tarballs for x64 AVX2, x64 without AVX2, and ARM64, and says downloads are signed and checksummed.checked 30 Sep 2026
- Downloads integrity
- The download page says every download is signed and checksummed.checked 29 Sep 2026
- Hybrid search
- Doris can combine vector search, full-text search, and aggregation in a single SQL statement, with native support for dynamic JSON through the VARIANT type.checked 30 Sep 2026
- Integrations
- The ecosystem page lists integrations including Superset, Tableau, Power BI, Kafka, Flink, Spark, OpenTelemetry, and dbt.checked 30 Sep 2026
- Intended use
- The project describes use cases including customer-facing analytics, data warehousing, observability, and AI applications such as RAG.checked 30 Sep 2026
- Lakehouse
- Doris can query Iceberg, Delta Lake, and Hudi tables in place, without copying data, according to the product site.checked 29 Sep 2026
- License
- The Apache Doris site identifies the project as licensed under Apache License, Version 2.0.checked 29 Sep 2026
- Querying
- It uses an MPP architecture, supports standard SQL and the MySQL protocol, and is described as serving sub-second queries on massive datasets.checked 30 Sep 2026
- Search
- The product site describes built-in text search and vector search alongside structured data queries.checked 29 Sep 2026
- Security
- Documented security capabilities include built-in and LDAP authentication, RBAC, Apache Ranger integration, data encryption and masking, SSL transport encryption, and audit logs.checked 30 Sep 2026
- Support
- The project directs users to Slack for real-time questions and answers, GitHub for issues, and the mailing list for asynchronous discussion and decisions.checked 30 Sep 2026
- Use cases
- The site presents customer-facing analytics, data warehousing, observability, and AI as use cases.checked 29 Sep 2026
- What it does
- Apache Doris is an open-source, real-time database for modern analytics and AI.checked 29 Sep 2026
- What it is
- Apache Doris is an open-source, real-time analytical database for modern analytics and AI.checked 30 Sep 2026
Money
- Free plan
- Yeschecked 20 Sep 2026
Where it runs
- Platform requirements
- The local full deployment guide specifies mainstream AMD or ARM Linux environments, such as Ubuntu, and JDK 17 or later.checked 30 Sep 2026
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