Search your way
The heart of the free and open Elastic Stack
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.
See how Elasticsearch can help you get more done quickly and efficiently.
When you get answers instantly, your relationship with your data changes. You can afford to iterate and cover more ground.
Analyze at scale
It’s one thing to find the 10 best documents to match your query. But how do you make sense of, say, a billion log lines? Elasticsearch aggregations let you zoom out to explore trends and patterns in your data.
Keeping historical data around for analysis is extremely useful but often avoided due to the financial cost of archiving massive amounts of data. The rollup feature provides a means to summarize and store historical data so that it can still be used for analysis, but at a fraction of the storage cost of raw data.
The Graph explore API enables you to extract and summarize information about the documents and terms in your Elasticsearch index. The best way to understand the behavior of this API is to use Graph in Kibana to explore connections.
Spot what you might otherwise miss
Elastic machine learning features automatically model the behavior of your Elasticsearch data — trends, periodicity, and more — in real time to identify issues faster, streamline root cause analysis, and reduce false positives.
Elastic Common Schema
Uniformly analyze data from diverse sources with the Elastic Common Schema (ECS). Detection rules, machine learning jobs, dashboards, and other security content can be applied more broadly, searches can be crafted more narrowly, and field names are easier to remember.
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