# OpenSearch vs Elasticsearch: Which Search Engine?

> OpenSearch vs Elasticsearch: the Apache-2.0 fork vs the original search and analytics engine. Licensing, features, ecosystem, and CI/ops fit compared honestly.

Source: https://latchkey.dev/learn/tool-comparisons/opensearch-vs-elasticsearch  
Updated: 2026-06-26

OpenSearch is the Apache-2.0 fork of Elasticsearch led by AWS and the community; Elasticsearch is the original engine under Elastic licensing.

OpenSearch forked from Elasticsearch 7.10 after the license change, offering a fully open (Apache-2.0) search and analytics engine with its own dashboards and feature roadmap. Elasticsearch continues under Elastic with the SSPL/Elastic License (and again AGPL), shipping advanced features and tight commercial integration. OpenSearch wins on permissive licensing and AWS integration; Elasticsearch wins on the most advanced features and the original ecosystem.

## Comparison

|  | OpenSearch | Elasticsearch |
| --- | --- | --- |
| License | Apache-2.0 | Elastic / AGPL / SSPL |
| Origin | Fork of ES 7.10 | Original |
| Dashboards | OpenSearch Dashboards | Kibana |
| Cloud fit | AWS-native | Elastic Cloud |
| Best for | Open license, AWS | Latest features, original |

## Use case and licensing

OpenSearch suits teams that need a fully permissive license or run on AWS-managed OpenSearch Service. Elasticsearch suits teams wanting the latest features, ML, and the original Elastic ecosystem and commercial support.

## Ops and CI fit

The two have diverged over time but remain broadly similar to operate; client and API compatibility varies by version. Both are integration-tested in CI against ephemeral clusters, where faster managed runners speed image pulls and index tests.

## Decide with your own numbers, not a feature table

Feature comparisons age badly and rarely decide anything, because both tools in a mature category can do the job. What differs is how each behaves on your repository, and that takes one afternoon to measure.

```Terminal
# time a cold install with each candidate, cache cleared
hyperfine --prepare "rm -rf node_modules" --warmup 1 \
  "<tool-a> install" "<tool-b> install"

# and the thing CI actually pays for: a cold run with no local cache
docker run --rm -v "$(pwd):/w" -w /w node:22 sh -c "<tool> install"
```

> Measure the cold path. Warm local benchmarks favour whichever tool you already have cached, which is exactly the condition a CI runner never has.

## What actually changes when you switch

- Lockfile format. A switch is a one-way door for anyone still on the old tool until everyone migrates, so plan it as a single coordinated change.
- Resolution strictness. Tools differ on whether an undeclared transitive import works, and the stricter one will surface latent bugs as new failures.
- CI cache configuration. The cache path and key differ per tool; carrying over the old ones silently disables caching.
- Everyone on the team and every runner must move together. Pin the version so they cannot drift.

## The verdict

Need a permissive Apache-2.0 license or AWS-managed search: OpenSearch. Want the latest features and the original ecosystem: Elasticsearch. License and cloud strategy usually decide it.

## FAQ

### OpenSearch vs Elasticsearch: Which Search Engine?

OpenSearch forked from Elasticsearch 7.10 after the license change, offering a fully open (Apache-2.0) search and analytics engine with its own dashboards and feature roadmap. Elasticsearch continues under Elastic with the SSPL/Elastic License (and again AGPL), shipping advanced features and tight commercial integration.

### Use case and licensing?

OpenSearch suits teams that need a fully permissive license or run on AWS-managed OpenSearch Service. Elasticsearch suits teams wanting the latest features, ML, and the original Elastic ecosystem and commercial support.

### Ops and CI fit?

The two have diverged over time but remain broadly similar to operate; client and API compatibility varies by version. Both are integration-tested in CI against ephemeral clusters, where faster managed runners speed image pulls and index tests.

### Which should I choose?

Need a permissive Apache-2.0 license or AWS-managed search: OpenSearch. Want the latest features and the original ecosystem: Elasticsearch. License and cloud strategy usually decide it.

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Latchkey runs CI/CD that repairs its own failures. Agent entry points: https://latchkey.dev/agent.txt, https://latchkey.dev/openapi.json, https://latchkey.dev/llms.txt