Elastic Search Platform: More data, more insight, lower cost


At this year’s ElasticON Global user conference, we shared how innovations in the Elastic Stack and Elastic Cloud make it possible for everyone to bring rich search capabilities to all of their data in a single platform, for any use case.

The Elastic Search Platform runs on a single technology stack, the Elastic Stack: Elasticsearch, a single data store to search, store, and analyze your data, and Kibana, which lets you visualize your Elasticsearch data and manage your deployment. The Elastic Stack is at the center of everything we do, allowing you to unify diverse use cases around a common denominator: data.

Data drives many use cases or solutions. In the Elastic Stack, all data is added into Elasticsearch using a common schema and is available for querying and search using Elasticsearch's powerful query and aggregation capabilities. That means there are no boundaries between use cases — all data resides in the same data store. Different teams should be able to use the same data for security, observability, and enterprise search to quickly deliver value.

The same engineering team who created the Elastic Stack also built Elastic Cloud, allowing us to vertically integrate our cloud platform with Elasticsearch and Kibana in a way that no one else can, with compelling functionality such as autoscaling, data tiers and searchable snapshots, and cross-cluster replication and search. And you can run in one or more of the 45+ regions globally, with support for hybrid and multi-cloud across AWS, Google Cloud, and Azure. Elastic Cloud is the best way to use and experience Elastic.

The Elastic Search Platform runs on a single technology stack, the Elastic Stack.