AWS Elasticsearch -- rebranded as Amazon OpenSearch Service -- is a fully managed service for deploying, operating, and scaling Elasticsearch clusters in the cloud. Elasticsearch itself is an open-source search and analytics engine built for log analytics, full-text search, and real-time data visualization.
The managed service removes the burden of setting up and maintaining your own Elasticsearch clusters. You get built-in security, automated backups, monitoring, and straightforward scaling for large datasets. It plugs directly into other AWS services like S3, CloudWatch, and Kinesis, which is why so many teams rely on it for log analysis, application monitoring, and search.
The rebrand to Amazon OpenSearch Service didn't break backward compatibility with Elasticsearch up to version 7.10, so existing users could transition without major disruption. Whether you're searching documents, analyzing logs, or visualizing real-time data, AWS Elasticsearch (OpenSearch) remains a solid choice for teams of all sizes.
OpenSearch is often used for a variety of use-cases, including Log Analytics, Security Analytics, Vector Search and more.
What Is Amazon OpenSearch Service?
Amazon OpenSearch Service is a managed service that handles the setup, operation, and scaling of OpenSearch clusters on AWS.
An OpenSearch Service domain maps directly to an OpenSearch cluster -- it holds your settings, instance types, instance counts, and storage configuration. The service supports both OpenSearch and legacy Elasticsearch OSS (up to version 7.10, the last open-source release). You pick the engine when you create a domain.
Behind the scenes, it provisions all the resources your cluster needs and launches it. Failed nodes get detected and replaced automatically, cutting out the overhead of managing infrastructure yourself. Need to scale? A single API call or a few clicks in the console.
On the monitoring side, Amazon OpenSearch Service ties into CloudWatch for domain metrics and alerting, and into CloudTrail for auditing configuration API calls. Streaming data from S3, Kinesis, and DynamoDB can be loaded directly into the service.
How Is OpenSearch Different From Elasticsearch?
OpenSearch 1.0 forked from Elasticsearch 7.10.2 with full feature parity. The two have been diverging since.
For bread-and-butter use cases -- text search, log analytics, dashboards -- the practical difference between Elasticsearch and OpenSearch is negligible. Both get the job done.
Elasticsearch has the edge in integration breadth thanks to extensive client library support, and its active development team tends to ship bug fixes faster.
OpenSearch tends to be cheaper to run, particularly when you need advanced capabilities like a full SIEM. The equivalent features on the Elastic Stack are more mature, but that sophistication comes at a premium.
Want a deeper comparison? Read this up-to-date breakdown of OpenSearch vs. Elasticsearch.