Elasticsearch is a distributed, RESTful search and analytics engine capable of addressing a growing number of use cases. As the heart of the Elastic Stack, it centrally stores your data for lightning fast search, fine‑tuned relevancy, and powerful analytics that scale with ease.
7.12 brings unmatched flexibility with the general availability of runtime fields, schema on read for Elasticsearch.
Go from prototype to production seamlessly; you talk to Elasticsearch running on a single node the same way you would in a 300-node cluster.
It scales horizontally to handle kajillions of events per second, while automatically managing how indices and queries are distributed across the cluster for oh-so-smooth operations.
Rank your search results based on a variety of factors — from term frequency or recency to popularity and beyond. Mix and match these along with functions to fine tune how your results show up to your users.
And because most of our users are human, Elasticsearch is equipped to handle human mistakes including complexities like typos.
Hardware rebels. Networks partition. Elasticsearch detects failures to keep your cluster (and your data) safe and available. With cross-cluster replication, a secondary cluster can spring into action as a hot backup. Elasticsearch operates in a distributed environment designed from the ground up for perpetual peace of mind.
Numbers, text, geo, structured, unstructured. All data types are welcome. Full-text search just scratches the surface of how companies around the world are relying on Elasticsearch to solve a variety of challenges. See a full list of solutions built directly on the Elastic Stack.
Spin up a fully loaded deployment on the cloud provider you choose. As the company behind Elasticsearch, we bring our features and support to your Elastic clusters in the cloud.
Directly from the creators, our Elasticsearch Service is the only official hosted Elasticsearch offering on AWS.
Elasticsearch uses standard RESTful APIs and JSON. We also build and maintain clients in many languages such as Java, Python, .NET, SQL, and PHP. Plus, our community has contributed many more. They're easy to work with, feel natural to use, and, just like Elasticsearch, don't limit what you might want to do with them.