4+ Elasticsearch-Compatible Databases Ranked & Compared

Compare Elasticsearch-compatible databases and alternatives — open-source forks and modern search engines that speak the Elasticsearch API.

Last updated: April 14, 2026
4 databases
1OpenSearch
OpenSearch
12.7k+170 30d

Community-driven open-source search and analytics engine forked from Elasticsearch

Search·2021·Apache-2.0·Java
2Manticore Search
Manticore Search
11.7k+58 30d

Fast open-source search database with SQL and JSON interfaces

Search·2017·GPL-3.0·C++
3Quickwit
Quickwit
11.1k+103 30d

Cloud-native search engine for observability, built on object storage with sub-second latency

Search·2021·Apache-2.0·Rust
4Elassandra
Elassandra
1.7k0 30d

Apache Cassandra distribution with tightly integrated Elasticsearch for combined NoSQL storage and search

Wide-Column·2015·Apache-2.0·Java

What does Elasticsearch-compatible mean?

An Elasticsearch-compatible database implements the Elasticsearch REST API, so existing clients, libraries, and tools (Kibana, Logstash, Beats) connect without code changes. The most common alternative is OpenSearch — a community-driven fork created by AWS in 2021 after Elastic changed Elasticsearch's license. OpenSearch maintains API compatibility with Elasticsearch 7.10 and continues development independently. Other alternatives like Quickwit and Manticore implement subsets of the Elasticsearch API while offering different performance or operational characteristics.

Why use an Elasticsearch-compatible alternative?

The main driver is licensing. Elasticsearch moved to SSPL/Elastic License in 2021, restricting cloud provider use. OpenSearch (Apache 2.0) restored a fully open-source option with full Elasticsearch 7.10 API compatibility — your existing dashboards, log pipelines, and search queries work unchanged. AWS, Logz.io, Bonsai, and other providers offer managed OpenSearch as a drop-in Elasticsearch replacement. Quickwit offers cost-optimized search-on-object-storage for log analytics. If you need Elasticsearch's API and ecosystem without Elastic's licensing constraints, these alternatives let you keep your existing tooling.

Frequently Asked Questions

What is the difference between Elasticsearch and OpenSearch?
OpenSearch is a fork of Elasticsearch 7.10 created by Amazon in 2021 after Elastic changed Elasticsearch's license from Apache 2.0 to a dual-license (SSPL and Elastic License). OpenSearch is fully open-source under Apache 2.0 and is now developed independently by AWS, SAP, and other contributors. The two share API compatibility for most operations — Kibana dashboards, REST queries, ingestion pipelines work on both. Elasticsearch has continued evolving with new features (semantic search, agent integrations) that OpenSearch doesn't have yet.
Is OpenSearch a drop-in replacement for Elasticsearch?
For most use cases, yes — at least for Elasticsearch 7.x APIs. OpenSearch maintains compatibility with Elasticsearch 7.10's REST API, so existing clients, Logstash configurations, Beats, and most application code work unchanged. OpenSearch also has its own Dashboards (a Kibana fork). The two have diverged since 2021: Elasticsearch 8.x added features OpenSearch doesn't have (like its current ML stack), while OpenSearch added its own features (anomaly detection, observability tools). For Elasticsearch 7.x workloads, the migration is straightforward.
Why would I use OpenSearch instead of Elasticsearch?
Three reasons: licensing, AWS integration, or community alignment. OpenSearch is Apache 2.0 — you can use it freely in cloud SaaS products, modify it, and embed it without Elastic's license restrictions. AWS OpenSearch Service is the natural managed option on AWS. The community is more open and accepts contributions broadly. Choose Elasticsearch when you need the latest features (vector search improvements, ESQL, agent tools) or specific Elastic Stack integrations. Choose OpenSearch when licensing matters, you're on AWS, or you want a fully open community-driven project.
Can I migrate from Elasticsearch to OpenSearch without code changes?
For application code targeting Elasticsearch 7.x: usually yes. REST API calls, query DSL, ingest pipelines, and most clients work unchanged. For Elasticsearch 8.x: more work — some new APIs and security features don't have direct OpenSearch equivalents. Tooling: Kibana 7.x dashboards usually convert to OpenSearch Dashboards with minor changes. Use the official Elasticsearch-to-OpenSearch migration tools and test against representative queries. Most production migrations succeed within a few weeks, especially if you're already on Elasticsearch 7.x.
Is Kibana compatible with OpenSearch?
Kibana is not directly compatible with OpenSearch — when AWS forked Elasticsearch in 2021, it also forked Kibana into OpenSearch Dashboards. They share a common origin (Kibana 7.10) so dashboards, visualizations, and saved objects can usually be migrated, but newer Kibana versions (7.11+, 8.x) won't connect to OpenSearch and vice versa. If you switch from Elasticsearch to OpenSearch, plan to use OpenSearch Dashboards instead of Kibana. Migration tools exist for moving saved objects, but custom Kibana plugins and newer Kibana features often don't have direct equivalents.

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