What is Elasticsearch used for?

Elasticsearch is a distributed, RESTful search and analytics engine written in Java, used for full-text search, log analysis and vector search across large datasets. It is a good fit for website and application search, log and event analytics, and semantic search for AI applications.

Is Elasticsearch open source?

Yes. Elasticsearch is open source under a custom licence. Its source code is on GitHub at elastic/elasticsearch and is written mainly in Java.

Is Elasticsearch free?

Yes. Elasticsearch is open source, so the software itself is free to use under the terms of its own licence. A managed cloud version is also available.

Can I self-host Elasticsearch?

Yes. Elasticsearch can be self-hosted on your own server or infrastructure.

What is Elasticsearch an alternative to?

Elasticsearch is an open-source alternative to Algolia, Splunk, Azure AI Search and Amazon OpenSearch Service. Other open-source alternatives to Algolia include Apache Solr, Vespa and Typesense.

Is Elasticsearch actively maintained?

Yes. The most recent commit to Elasticsearch was on 2 October 2026, and the latest release is v9.5.4, published on 15 September 2026. The project has 78k stars on GitHub.

Elasticsearch: open-source alternative to Algolia, Splunk

About Elasticsearch

Elasticsearch is a distributed, RESTful search engine written in Java. It stores documents as JSON, indexes them so they can be searched quickly, and exposes everything through an HTTP API, which makes it a common backbone for site search, application search and log analytics. It is built on the Apache Lucene library.

Beyond full-text queries it supports filtering, aggregations for analytics and, in recent versions, vector search for semantic and AI-assisted retrieval. Data is spread across nodes in a cluster using shards and replicas, so capacity and resilience grow by adding machines. It is the core of the Elastic Stack, usually paired with Kibana for exploration and with ingestion tools for logs and metrics.

The repository describes the project as free and open source, while its license metadata is listed as 'Other', so review the current license terms before relying on it commercially. It can be self-managed on your own servers or used as a managed service through Elastic Cloud.

Key features

Distributed full-text search over JSON documents
RESTful HTTP API
Aggregations for analytics
Vector search for semantic retrieval
Clustering with shards and replicas

Good fit for

→Website and application search
→Log and event analytics
→Semantic search for AI applications

Built with: Java
Tags: search-engine; elasticsearch; java; full-text-search; analytics; lucene; distributed; vector-search; logging

Elasticsearch: questions and answers

What is Elasticsearch used for?: Elasticsearch is a distributed, RESTful search and analytics engine written in Java, used for full-text search, log analysis and vector search across large datasets. It is a good fit for website and application search, log and event analytics, and semantic search for AI applications.
Is Elasticsearch open source?: Yes. Elasticsearch is open source under a custom licence. Its source code is on GitHub at elastic/elasticsearch and is written mainly in Java.
Is Elasticsearch free?: Yes. Elasticsearch is open source, so the software itself is free to use under the terms of its own licence. A managed cloud version is also available.
Can I self-host Elasticsearch?: Yes. Elasticsearch can be self-hosted on your own server or infrastructure.
What is Elasticsearch an alternative to?: Elasticsearch is an open-source alternative to Algolia, Splunk, Azure AI Search and Amazon OpenSearch Service. Other open-source alternatives to Algolia include Apache Solr, Vespa and Typesense.
Is Elasticsearch actively maintained?: Yes. The most recent commit to Elasticsearch was on 2 October 2026, and the latest release is v9.5.4, published on 15 September 2026. The project has 78k stars on GitHub.