apache/doris

Health v2 · maintenance only

Adoption not part of the score

15817 stars · 3924 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Apache Doris is an open-source MPP-based real-time analytical database that delivers sub-second queries over massive datasets, combining a data warehouse, lakehouse query engine, and hybrid full-text/vector search in one SQL system. It is MySQL-protocol compatible, supports Iceberg/Hudi/Paimon lakehouse catalogs, and includes AI functions for LLM-driven analytics aimed at AI agents and RAG workloads.

Use cases

• build real-time dashboards and customer-facing analytics with sub-second queries
• run a unified data warehouse for ad-hoc SQL reporting across business domains
• analyze high-throughput logs and metrics for observability and incident response
• query and accelerate data lakes with Iceberg, Hudi, and Paimon catalogs
• combine vector search, full-text search, and SQL analytics for RAG applications
• serve millisecond-level analytics to AI agents for fraud detection and recommendations
• replace ClickHouse, Elasticsearch, or Trino for mixed analytics and search workloads

When to choose

• you need sub-second OLAP queries with second-level real-time ingestion at PB scale
• you want one system for analytics, full-text search, and vector search instead of separate databases
• you need federated/lakehouse query acceleration over Iceberg, Hudi, or Paimon tables
• you want MySQL-protocol compatibility so existing BI tools and clients connect directly
• you are building an AI data stack for agents or RAG with SQL-based retrieval

When to avoid

• you only need simple transactional (OLTP) workloads with row-level updates and joins on small data
• you want a fully managed cloud warehouse and prefer not to operate infrastructure
• your primary need is a lightweight embedded database for a single application
• you rely on non-SQL data models like graph or document stores

Facets

service · maturity stable

database search-engine vector-database analytics streaming etl databases big-data analytics large-language-models cloud self-hosted cpp olap mpp data-warehouse lakehouse real-time-analytics hybrid-search sql mysql-protocol iceberg rag observability log-analytics search data-engineering real-time linux docker kubernetes

Member repositories

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