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Free icon for commercial use12/8/2023 ![]() ![]() ![]() Integration with Beats and Logstash makes it easy to process data before indexing into Elasticsearch. The Elastic Stack simplifies data ingest, visualization, and reporting. In addition to its speed, scalability, and resiliency, Elasticsearch has a number of powerful built-in features that make storing and searching data even more efficient, such as data rollups and index lifecycle management. The distributed nature of Elasticsearch allows it to scale out to hundreds (or even thousands) of servers and handle petabytes of data.Įlasticsearch comes with a wide set of features. The documents stored in Elasticsearch are distributed across different containers known as shards, which are duplicated to provide redundant copies of the data in case of hardware failure. As a result, Elasticsearch is well suited for time-sensitive use cases such as security analytics and infrastructure monitoring.Įlasticsearch is distributed by nature. Elasticsearch is also a near real-time search platform, meaning the latency from the time a document is indexed until it becomes searchable is very short - typically one second. Because Elasticsearch is built on top of Lucene, it excels at full-text search. ![]()
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