---
title: "doris"
type: "tool"
slug: "apache-doris"
canonical_url: "https://www.graphcanon.com/tools/apache-doris"
github_url: "https://github.com/apache/doris"
homepage_url: "https://doris.apache.org"
stars: 15587
forks: 3858
primary_language: "Java"
license: "Apache-2.0"
categories: ["evaluation-observability", "data-retrieval"]
tags: ["olap", "observability", "vector", "lakehouse", "database"]
updated_at: "2026-07-07T18:29:35.16445+00:00"
---

# doris

> Metadata for Apache Doris Repository

Apache Doris is a real-time analytics and hybrid search database designed for AI agents, enabling fast SQL analytics, lakehouse query acceleration, and support for structured, text, and vector data.

## Facts

- Repository: https://github.com/apache/doris
- Homepage: https://doris.apache.org
- Stars: 15,587 · Forks: 3,858 · Open issues: 1,057 · Watchers: 279
- Primary language: Java
- License: Apache-2.0
- Last pushed: 2026-07-07T14:42:32+00:00

## Categories

- [Evaluation & Observability](/categories/evaluation-observability.md)
- [Data & Retrieval](/categories/data-retrieval.md)

## Tags

olap, observability, vector, lakehouse, database

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## README (excerpt)

```text
## 🌍 Read this in other language

[English](README.md) • [العربية](docs/ar-SA/README.md) • [বাংলা](docs/bn-BD/README.md) • [Deutsch](docs/de-DE/README.md) • [Español](docs/es-ES/README.md) • [فارسی](docs/fa-IR/README.md) • [Français](docs/fr-FR/README.md) • [हिन्दी](docs/hi-IN/README.md) • [Bahasa Indonesia](docs/id-ID/README.md) • [Italiano](docs/it-IT/README.md) • [日本語](docs/ja-JP/README.md) • [한국어](docs/ko-KR/README.md) • [Polski](docs/pl-PL/README.md) • [Português](docs/pt-BR/README.md) • [Română](docs/ro-RO/README.md) • [Русский](docs/ru-RU/README.md) • [Slovenščina](docs/sl-SI/README.md) • [ไทย](docs/th-TH/README.md) • [Türkçe](docs/tr-TR/README.md) • [Українська](docs/uk-UA/README.md) • [Tiếng Việt](docs/vi-VN/README.md) • [简体中文](docs/zh-CN/README.md) • [繁體中文](docs/zh-TW/README.md)

<div align="center">

# Apache Doris







<div>

[?style=for-the-badge>)](https://doris.apache.org/)
[?style=for-the-badge>)](https://doris.apache.org/download)


</div>


<div>
    <a href="https://twitter.com/doris_apache"><img src="https://img.shields.io/badge/- @Doris_Apache -424549?style=social&logo=x" height=25></a>
    &nbsp;
    <a href="https://github.com/apache/doris/discussions"><img src="https://img.shields.io/badge/- Discussion -red?style=social&logo=discourse" height=25></a>
    &nbsp;
    <a href="https://doris.apache.org/slack" height=25></a>
    &nbsp;
    <a href="https://medium.com/@ApacheDoris"><img src="https://img.shields.io/badge/-Medium-red?style=social&logo=medium" height=25></a>

</div>

</div>

---

<div align="center">
  <a href="https://trendshift.io/repositories/1156" target="_blank"><img src="https://trendshift.io/api/badge/repositories/1156" alt="apache%2Fdoris | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
</div>

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](https://doris.apache.org/) for the latest product overview, use cases, ecosystem updates, blogs, and user stories. For version updates, see [all release notes](https://doris.apache.org/releases/all-release).

## 📈 Use Cases

| Use Case | What it provides |
| -------- | ---------------- |
| [Customer-Facing Analytics](https://doris.apache.org/use-cases/customer-facing-analytics) | Ship sub-second interactive analytics to external users. |
| [Data Warehousing](https://doris.apache.org/use-cases/data-warehousing) | Build one real-time warehouse across business domains. |
| [Observability](https://doris.apache.org/use-cases/observability) | Analyze high-throughput logs, events, and metrics with SQL. |
| [Doris for AI](https://doris.apache.org/use-cases/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](https://doris.apache.org/#real-time-analytics) | Streaming ingestion, incremental transformation, and sub-second queries under high concurrency. |
| [Lakehouse Analytics](https://doris.apache.org/#lakehouse-analytics) | Fast SQL analytics over open table formats such as Iceberg, Delta Lake, and Hudi. |
| [Hybrid Search](https://doris.apache.org/#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.

<p align="center">
  <img src="https://doris.apache.org/images/doris-ecosystem.jpg" alt="Apache Doris ecosystem" width="850" />
</p>

For the latest ecosystem coverage, visit the [official website](ht
```

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/apache-doris`](/api/graphcanon/tools/apache-doris)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
