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Search comparison · 2026
Elasticsearch and OpenSearch are remarkably evenly matched in the Search space, scoring 80 and 80 overall respectively on our radar methodology. OpenSearch has the edge on Price / Value (90 vs 65). The two are closest on Developer UX, where the gap is just 2 points. Both offer a free tier, making either a low-risk starting point. Use the radar chart and dimension table below to find which fits your specific priorities best.
Elasticsearch
The most powerful and flexible search engine — with complexity to match
80/100
OpenSearch
The open-source fork of Elasticsearch, AWS-backed
80/100
Radar comparison
Elasticsearch
80
OpenSearch
80
Developer UX
SDK quality, indexing API, and setup speed.
Relevance
Out-of-the-box ranking quality and typo tolerance.
Performance
Query latency, especially under high request volume.
Price / Value
Cost per record/request and free tier generosity.
Scalability
Index size limits and horizontal scaling.
Ecosystem
Framework integrations, facets, and analytics dashboards.
Overall Score
Elasticsearch and OpenSearch score identically in our overall RadarTrek assessment — both earn 80/100 across 6 scored dimensions. This is one of the closest search comparisons in our database. The right choice depends entirely on which specific dimension matters most to your use case — use the dimension breakdown above to compare scores on your priority criterion.
Both Elasticsearch and OpenSearch offer a free tier, so entry-level cost is not a differentiating factor. Compare the feature and usage limits of each free plan to see which gives you more headroom before a paid upgrade is needed.
Elasticsearch scores higher on Ecosystem — 95/100 versus 85/100 for OpenSearch. If ecosystem is your primary decision criterion, Elasticsearch is the stronger choice in this head-to-head.
Switching between search tools is generally possible but involves migration effort: exporting your data or configuration from Elasticsearch, re-importing or reconfiguring in OpenSearch, and updating any API integrations or environment variables in your codebase. The effort scales with how deeply embedded the tool is in your stack. Test OpenSearch on a non-production project first before migrating.
Elasticsearch (80/100) is the better fit for teams who prioritise scalability — its strongest dimension — and who want a free entry point. OpenSearch (80/100) is the better fit for teams who prioritise scalability and want a free entry point. If both dimensions matter equally, the overall score winner (either tool) is the safer default choice.
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