doris

🌍 Read this in other language

English • العربية • বাংলা • Deutsch • Español • فارسی • Français • हिन्दी • Bahasa Indonesia • Italiano • 日本語 • 한국어 • Polski • Português • Română • Русский • Slovenščina • ไทย • Türkçe • Українська • Tiếng Việt • 简体中文 • 繁體中文

Apache Doris

---

Apache Doris is an open-source, real-time analytics and search database built on MPP architecture. It provides fast SQL analytics, lakehouse query acceleration, and hybrid search across structured, text, and vector data.

Explore the official website for the latest product overview, use cases, ecosystem updates, blogs, and user stories. For version updates, see all release notes.

📈 Use Cases

Use Case	What it provides
Customer-Facing Analytics	Ship sub-second interactive analytics to external users.
Data Warehousing	Build one real-time warehouse across business domains.
Observability	Analyze high-throughput logs, events, and metrics with SQL.
Doris for AI	Use vector, text, JSON, and structured search in one SQL engine.

🚀 Core Capabilities

Apache Doris is built around three core capabilities. The website is the source of truth for detailed product descriptions and examples.

Capability	What it provides
Real-Time Analytics	Streaming ingestion, incremental transformation, and sub-second queries under high concurrency.
Lakehouse Analytics	Fast SQL analytics over open table formats such as Iceberg, Delta Lake, and Hudi.
Hybrid Search	SQL-native analytics across JSON, full-text, and vector data for AI and search workloads.

🔌 Ecosystem

Doris sits at the center of the modern data stack. It connects upstream databases, streaming systems, and lakehouse storage with downstream BI, AI, analytics, and observability tools.

For the latest ecosystem coverage, visit the official website and the connection and integration documentation.

👣 Get Started

• What is Apache Doris
• Quick Start
• Download
• Installation
• Compile from source

🧱 Architecture

Apache Doris supports both compute-storage coupled and compute-storage decoupled deployments. In decoupled mode, stateless compute groups run over shared object storage, so you can scale compute on demand and isolate workloads.

Learn more in the deployment guide and deployment mode guide.

📣 Project Updates

Resource	What it provides
Community Report	Weekly updates on community activity, merged PRs, contributors, and feature progress.
Roadmap 2026	The 2026 planning discussion for AI and hybrid search, query engine, storage, and data lake work.

🧩 Components

Doris provides connectors and tools for common data engineering workflows.

• Doris Flink Connector
• Doris Spark Connector
• Doris Kafka Connector
• Doris Stream Loader
• Doris Kubernetes Operator

👨‍👩‍👧‍👦 Users

Apache Doris is used in production by thousands of companies worldwide across internet services, finance, retail, logistics, manufacturing, energy, telecommunications, AI, and other industries.

• Apache Doris users
• Add your company

🙌 Contributors

Apache Doris graduated from the Apache Incubator and became an Apache Top-Level Project in June 2022. Thanks to all community contributors who help build Doris.

🌈 Community and Support

• GitHub Issues
• GitHub Discussions
• Pull Requests
• How to contribute
• Code submission guide

💬 Contact Us

• Join Slack
• Subscribe to the dev mailing list

🧰 Links

• Apache Doris official website: doris.apache.org
• X: @doris_apache
• Medium: @ApacheDoris

📜 License

Apache License, Version 2.0

Note Some licenses of the third-party dependencies are not compatible with Apache 2.0 License. So you need to disable some Doris features to comply with Apache 2.0 License. For details, refer to the thirdparty/LICENSE.txt