# apache/doris

Apache Doris is a real-time analytics and hybrid search database for AI agents.

Repository: https://github.com/apache/doris
Canonical: https://ross.abutalabs.com/products/doris
Homepage: https://doris.apache.org
Language: C++
License: Apache-2.0
License Family: permissive
Topics: olap, database, hudi, iceberg, real-time, sql, bigquery, delta-lake, lakehouse, query-engine, redshift, snowflake, agent, ai, paimon, observability, search, vector
Last push: 2026-08-26T15:07:43+00:00

## Health v2 (maintenance only)
Score: 99/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 98, longevity 100
- inputs: {"age_days": 3310, "days_push": 7, "days_rel": 19, "gap_med": 18.0, "n_releases_24m": 37}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 15817, forks 3924 (observed 2026-08-28T04:11:14.151462+00:00)

## What it is
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
- artifact type: service
- maturity: stable
- function: database, search-engine, vector-database, analytics, streaming, etl
- domain: databases, big-data, analytics, large-language-models
- platform: cloud, self-hosted, cpp
- tags: 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
- apache/doris (main) score 99

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:14.151462+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:05:31.801038+00:00, confidence not recorded.
  - readme: https://github.com/apache/doris (fetched 2026-08-28T04:11:14.151462+00:00, sha a40f27ecedff)
  - homepage: https://doris.apache.org (fetched 2026-08-29T08:03:26.917326+00:00, sha 1ae527364759)
  - site_page: https://doris.apache.org/docs/dev/connection-integration/data-integration/intro (fetched 2026-08-29T08:03:26.933732+00:00, sha 17460c20d268)
  - site_page: https://doris.apache.org/why-doris/key-features (fetched 2026-08-29T08:03:26.920456+00:00, sha 8ab3fc9ab74c)
  - site_page: https://doris.apache.org/docs/dev/getting-started/what-is-apache-doris (fetched 2026-08-29T08:03:26.922317+00:00, sha abe91dc7999d)
  - site_page: https://doris.apache.org/docs/4.x/getting-started/what-is-apache-doris (fetched 2026-08-29T08:03:26.924370+00:00, sha 9f9ebc4809a5)
  - site_page: https://doris.apache.org/docs/3.x/gettingStarted/what-is-apache-doris (fetched 2026-08-29T08:03:26.926225+00:00, sha 0fc14e62bf28)
  - site_page: https://doris.apache.org/docs/2.1/gettingStarted/what-is-apache-doris (fetched 2026-08-29T08:03:26.928695+00:00, sha bdf84dcd94ed)
  - site_page: https://doris.apache.org/docs/dev/getting-started/intro (fetched 2026-08-29T08:03:26.932176+00:00, sha e07fc2c7ca38)
  - site_page: https://doris.apache.org/releases/all-release (fetched 2026-08-29T08:03:26.930579+00:00, sha 9062346c8a55)
- Data as of 2026-08-30T08:39:29.467469+00:00.