OpenSearch
Distributed and RESTful search engine.
High commit volume, frequent releases and growing activity.
Commit activity more than 85% of tracked projects; popularity more than 83%. How this is calculated.
Commits, last 11 months
| Stars | 14k |
|---|---|
| Latest release | 3.8.0 · 5 Aug 2026 |
| Repo updated | 25 Sept 2026 |
| Licence | Apache-2.0 |
| Built with | Java, Docker, K8S, deb |
Is OpenSearch actively maintained?
OpenSearch is under active development: 1366 commits landed over the last 11 months, averaging roughly 147 commits a month in the most recent quarter.
The most recent tagged release, 3.8.0, shipped about two months ago — a current, installable version exists today.
Of the 16 projects we track in Search Engines, OpenSearch ranks #3 by health score — in the top quarter of its category.
What OpenSearch actually does
OpenSearch is a distributed search and analytics engine that provides a RESTful interface for indexing, searching, and managing large datasets. It operates as a cluster of nodes handling concurrent read and write operations over structured and unstructured data. The software is licensed under the Apache-2.0 licence.
Best fit: It is well-suited for teams building centralised log aggregation, full-text search capabilities, or real-time application monitoring infrastructure at scale.
Worth knowing: Running a distributed search cluster introduces significant operational complexity, including memory tuning for the Java runtime and managing persistent storage across nodes.
Deployment notes
You will typically deploy it using Docker or Kubernetes with persistent volumes attached for data nodes, and place a reverse proxy in front for secure TLS termination.
Links
OpenSearch as a replacement for
Alternatives to OpenSearch
Projects in the same categories, ordered by health score.
Distributed, RESTful search and analytics engine.
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Internet metasearch engine which aggregates results from various search services and databases (Fork of Searx).
Personal web search engine with automatic indexing of visited websites. Supports offline local result previews, local files, multi-user handling and optional semantic search.
Powerful and easily deployable Enterprise Search Server.