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apache/doris

Open-source MPP real-time analytics and search database for SQL analytics, lakehouse queries, and hybrid JSON, full-text, and vector search.

Open-source alternative to:SnowflakeGoogle BigQueryAmazon Redshift

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What is it?

Apache Doris is an open-source analytical database built on an MPP architecture. It lets teams run fast SQL analytics on large datasets, including sub-second interactive queries under high concurrency and streaming ingestion with incremental transformation.

Beyond its core engine, Doris can query open table formats such as Iceberg, Delta Lake, and Hudi, so it can serve as an accelerator over existing lakehouse storage. It also supports hybrid search that combines JSON, full-text, and vector data in one SQL interface, aimed at AI and search workloads.

Doris supports both compute-storage coupled deployments and decoupled ones, where stateless compute groups run over shared object storage. It ships with connectors for Flink, Spark, and Kafka, a stream loader, and a Kubernetes operator.

Key features

  • 01MPP architecture for fast SQL analytics with sub-second queries under high concurrency.
  • 02Streaming ingestion and incremental transformation for real-time data.
  • 03Query acceleration over Iceberg, Delta Lake, and Hudi tables.
  • 04Hybrid search across JSON, full-text, and vector data in SQL.
  • 05Compute-storage coupled and decoupled deployment modes.
  • 06Connectors for Flink, Spark, and Kafka, plus a Kubernetes operator.

Use cases

  • Customer-facing analytics that serve interactive queries to external users.
  • Building a real-time data warehouse across multiple business domains.
  • Analyzing high-volume logs, events, and metrics for observability.
  • Combining vector and text search with structured data for AI applications.

Topics

#olap#sql#real-time-analytics#data-warehouse#lakehouse#vector-search#full-text-search#database#agent#ai

FAQ

What is doris?
Open-source MPP real-time analytics and search database for SQL analytics, lakehouse queries, and hybrid JSON, full-text, and vector search. Apache Doris is an open-source analytical database built on an MPP architecture. It lets teams run fast SQL analytics on large datasets, including sub-second interactive queries under high concurrency and streaming ingestion with incremental transformation.
Is doris free to use? What license does it have?
doris is open source under the Apache-2.0 license. Check the license terms before using it in commercial products.
Is doris still maintained?
Actively maintained. The last commit to doris was on Oct 18, 2026.
What can I use doris for?
Customer-facing analytics that serve interactive queries to external users. Building a real-time data warehouse across multiple business domains. Analyzing high-volume logs, events, and metrics for observability. Combining vector and text search with structured data for AI applications.
Where can I get doris?
The source code and installation instructions are on GitHub: https://github.com/apache/doris

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