🌍 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 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](ht