#7676th of 173 in Backends, databases and hosting
doris
MPP analytics database for real-time SQL, lakehouse queries and hybrid search
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- Stars
- 16.2k
- License
- Apache-2.0
- Last commit
- Nov 2026
- Last release
- Oct 2026
- Language
- Java
Missed the latest GitHub check; these facts may be older.
Overview
Apache Doris is an MPP analytics database that serves sub-second SQL queries under high concurrency, with streaming ingestion. It also queries Iceberg, Delta Lake and Hudi tables and supports full-text, JSON and vector search in SQL. It runs in compute-storage coupled mode or in a decoupled mode with stateless compute groups over shared object storage.
Who it is for: Data engineers building real-time analytics, warehouses or log search
Strengths
- Queries Iceberg, Delta Lake and Hudi tables directly, without a separate engine
- Decoupled mode scales stateless compute groups over shared object storage
- Official Flink, Spark, Kafka connectors, Stream Loader and Kubernetes operator
- Apache top-level project since June 2022, with regular releases
Weaknesses
- Analytics database, not an app backend with auth, storage or APIs
- Some third-party dependencies conflict with Apache 2.0; features must be disabled to comply
- Cluster deployment is more involved than a single-node database
- README gives no hardware sizing; no Docker or compose files detected
What it needs
- Needs Object storage (decoupled mode)
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