Apache Doris

Free plan APILinuxSelf-hosted

What Apache Doris is

Apache Doris is an open-source analytical database for real-time analytics and AI applications. Its massively parallel processing architecture supports standard SQL and the MySQL protocol, with sub-second queries on large datasets. It can ingest streaming data, refresh materialized views incrementally, and load data from files, message queues, transactional databases, and other OLAP systems. Users can also make transactional updates and deletes or export data.

For lakehouse work, Doris queries Iceberg, Delta Lake, and Hudi tables in place, without copying them. It brings structured queries together with full-text and vector search, and supports dynamic JSON through the VARIANT type. Listed uses include customer-facing analytics, data warehousing, observability, and AI applications such as RAG. BI integrations include Superset, Metabase, Power BI, Tableau, and QuickSight.

Security controls include built-in or LDAP authentication, RBAC or Apache Ranger authorization, audit logs, encryption, and row- and column-level access controls. Deployment options cover physical or virtual machines, Kubernetes, and cloud platforms. The project is licensed under Apache License, Version 2.0, and offers signed, checksummed binaries and source tarballs for maintained 4.1 and 4.0 branches across x64 AVX2, x64 without AVX2, and ARM64.

Who it suits

Apache Doris suits teams building customer-facing analytics, data warehouses, observability systems, or AI applications that need real-time data and SQL queries. It is also relevant to organizations combining lakehouse tables, structured data, text search, and vector search, with security controls and deployment options across Linux, Kubernetes, or cloud environments.

What it does well

Open-source and licensed under Apache License, Version 2.0.
Supports streaming ingestion and incremental materialized view refresh.
Queries Iceberg, Delta Lake, and Hudi tables in place.
Combines vector, full-text, and structured search in SQL.
Includes row- and column-level access controls.
Offers machine, Kubernetes, and cloud deployment options.

What to know first

Integrated deployments cannot scale compute independently.
Decoupled deployments require a stable shared storage service.
Local full deployment requires Linux and JDK 17 or later.

Limits

Integrated deployments do not allow compute resources to scale independently. Decoupled deployments require a stable shared storage service; local full deployment calls for mainstream AMD or ARM Linux and JDK 17 or later.

Getting started

Choose Linux on a mainstream AMD or ARM environment for a local full deployment.
Install JDK 17 or later for a local full deployment.
Select a deployment route: physical or virtual machines, Kubernetes, or cloud.
Download a binary or source tarball for the 4.1 or 4.0 branch and your x64 or ARM64 architecture.
Verify the downloaded file using its signature and checksum.
Use Slack for setup help, GitHub for issues, or the mailing list for asynchronous discussion.

Verdict

Choose Apache Doris if you need an open-source analytical database for real-time analytics, lakehouse querying, or AI workloads, with SQL, search, and detailed access controls. Look elsewhere if integrated deployment must scale compute independently or a decoupled setup cannot rely on stable shared storage.

Questions

Is Apache Doris free?

Yes. It is offered as a free plan and is open-source under Apache License, Version 2.0.

Which platforms does Apache Doris support?

The listed platforms are API, Linux, and self-hosted. Deployment documentation also describes physical or virtual machines, Kubernetes, and cloud platforms such as AWS.

What data and query options does it support?

Doris supports standard SQL and the MySQL protocol. It loads data from files, message queues, transactional databases, and other OLAP systems, and can query Iceberg, Delta Lake, and Hudi tables in place.

Which BI tools are listed as integrations?

The ecosystem lists Superset, Metabase, Power BI, Tableau, and QuickSight.

What security controls are available?

The security overview documents built-in and LDAP authentication, RBAC or Apache Ranger authorization, audit logs, encryption, and row- and column-level access controls.

Where can users get help?

The project directs users to Slack for questions and answers, GitHub for issues, and the mailing list for asynchronous discussion and decisions.

Facts from Apache Doris's own pages

Analytics: Doris supports streaming ingestion, incremental materialized view refresh, and sub-second queries, according to the product site. · doris.apache.org, 29 Sept 2026
Community support: The site directs users to Slack for setup help, performance tips, and answers from Apache Doris users and maintainers. · doris.apache.org, 29 Sept 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. · doris.apache.org, 30 Sept 2026
Deployment: Doris supports integrated and storage-compute-decoupled deployments, with manual, Kubernetes, and cloud platform deployment options. · doris.apache.org, 30 Sept 2026
Deployment trade-off: In integrated deployments compute resources cannot be scaled independently; decoupled deployments require a stable shared storage service. · doris.apache.org, 30 Sept 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. · doris.apache.org, 29 Sept 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. · doris.apache.org, 30 Sept 2026
Downloads integrity: The download page says every download is signed and checksummed. · doris.apache.org, 29 Sept 2026
Free plan: Yes · doris.apache.org, 20 Sept 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. · doris.apache.org, 30 Sept 2026
Integrations: The ecosystem page lists integrations including Superset, Tableau, Power BI, Kafka, Flink, Spark, OpenTelemetry, and dbt. · doris.apache.org, 30 Sept 2026
Intended use: The project describes use cases including customer-facing analytics, data warehousing, observability, and AI applications such as RAG. · doris.apache.org, 30 Sept 2026
Lakehouse: Doris can query Iceberg, Delta Lake, and Hudi tables in place, without copying data, according to the product site. · doris.apache.org, 29 Sept 2026
License: The Apache Doris site identifies the project as licensed under Apache License, Version 2.0. · doris.apache.org, 29 Sept 2026
Platform requirements: The local full deployment guide specifies mainstream AMD or ARM Linux environments, such as Ubuntu, and JDK 17 or later. · doris.apache.org, 30 Sept 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. · doris.apache.org, 30 Sept 2026
Search: The product site describes built-in text search and vector search alongside structured data queries. · doris.apache.org, 29 Sept 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. · doris.apache.org, 30 Sept 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. · doris.apache.org, 30 Sept 2026
Use cases: The site presents customer-facing analytics, data warehousing, observability, and AI as use cases. · doris.apache.org, 29 Sept 2026
What it does: Apache Doris is an open-source, real-time database for modern analytics and AI. · doris.apache.org, 29 Sept 2026
What it is: Apache Doris is an open-source, real-time analytical database for modern analytics and AI. · doris.apache.org, 30 Sept 2026