Learn how Elasticsearch and OpenSearch differ in their key features, development activity, technology stack and community adoption, so you can decide which of these search engines is best for you.
Stars
Forks
Last commit
Repository age
Activity score

Stars
Forks
Last commit
Repository age
License
Activity score

Both Elasticsearch and OpenSearch have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, activity, technology, maturity, licensing and features when making your decision.
Elasticsearch significantly outpaces OpenSearch in community adoption with 77,077 stars compared to 13,237 stars on GitHub. This 5.8x difference suggests Elasticsearch has a much larger and more active community. In terms of developer contributions, Elasticsearch has 25,843 forks, indicating strong developer engagement.
Both projects show recent activity, with Elasticsearch last updated 10 hours ago and OpenSearch 7 hours ago.
Both tools share common technology foundations, being built with Bash, Python, Java. However, they differ in their additional technology choices: Elasticsearch uses JavaScript, CSS, Typescript, C, Objective-C, C++.
Elasticsearch has been in development longer, starting 16 years ago, compared to OpenSearch which began 5 years ago. This 11.1-year head start suggests Elasticsearch may have more mature features and established processes.
OpenSearch is licensed under Apache-2.0, while Elasticsearch's license terms are not publicly specified.
Both tools serve similar use cases in Search Engines. However, they also have distinct specializations: Elasticsearch also focuses on Log Management, NoSQL & Document Databases.