Elasticsearch vs OpenSearch: Key Differences and When to Use Each
Elasticsearch and OpenSearch are powerful search and analytics engines based on Apache Lucene. Elasticsearch is developed by Elastic with a proprietary license, while OpenSearch is a community-driven fork under the Apache 2.0 license, offering similar core features but with open governance.Quick Comparison
Here is a quick side-by-side comparison of Elasticsearch and OpenSearch on key factors.
| Factor | Elasticsearch | OpenSearch |
|---|---|---|
| License | Elastic License (proprietary) | Apache 2.0 (open source) |
| Governance | Elastic company controlled | Community-driven with AWS support |
| Compatibility | Latest versions may break compatibility | Forked from Elasticsearch 7.10, mostly compatible |
| Features | Includes proprietary features like machine learning | Focuses on open features, some proprietary removed |
| Community & Support | Commercial support from Elastic | Community and AWS support |
| Release Frequency | Regular updates with new features | Independent updates, slower but stable |
Key Differences
Elasticsearch is developed and maintained by Elastic, which changed its license to a proprietary Elastic License starting from version 7.11. This means some features and code are no longer open source, and usage restrictions apply. In contrast, OpenSearch was created as a fork of Elasticsearch 7.10 under the Apache 2.0 license, ensuring it remains fully open source and free to use.
The governance model differs significantly: Elasticsearch is controlled by Elastic, which decides the roadmap and features, while OpenSearch is community-driven with contributions from AWS and others, promoting open collaboration. This affects how quickly new features appear and how the projects evolve.
Feature-wise, Elasticsearch offers advanced proprietary capabilities like machine learning, alerting, and security features in its commercial tiers. OpenSearch focuses on maintaining core search and analytics features without proprietary extensions, aiming for transparency and open development.
Code Comparison
Here is how you create an index and add a document in Elasticsearch using its REST API.
PUT /my-index
{
"settings": {
"number_of_shards": 1
},
"mappings": {
"properties": {
"title": { "type": "text" },
"date": { "type": "date" }
}
}
}
POST /my-index/_doc/1
{
"title": "Hello Elasticsearch",
"date": "2024-01-01"
}OpenSearch Equivalent
The same index creation and document insertion in OpenSearch uses the same REST API syntax, ensuring compatibility.
PUT /my-index
{
"settings": {
"number_of_shards": 1
},
"mappings": {
"properties": {
"title": { "type": "text" },
"date": { "type": "date" }
}
}
}
POST /my-index/_doc/1
{
"title": "Hello OpenSearch",
"date": "2024-01-01"
}When to Use Which
Choose Elasticsearch if you need advanced proprietary features, official commercial support, and the latest innovations from Elastic. It suits enterprises requiring machine learning, alerting, and security features integrated tightly.
Choose OpenSearch if you prefer a fully open source solution with an Apache 2.0 license, want community-driven development, or need to avoid vendor lock-in. It is ideal for users who want stable core search and analytics without proprietary restrictions.