Elastic Announces the General Availability of the New Frozen Tier, Enhanced Analyst Experience With Schema on Read, and First-Party Integration With Microsoft Azure

Elastic (NYSE: ESTC) (“Elastic”), the company behind Elasticsearch and the Elastic Stack, today announced new capabilities and enhancements across its Elastic Enterprise Search, Observability, and Security solutions, which are part of the Elastic Stack.

New capabilities include the general availability of the frozen data tier, powered by searchable snapshots. The frozen data tier removes the constraint of only storing data locally and enables customers to search orders of magnitude more data cost-effectively on low cost object stores such as Amazon S3, Google Cloud Storage, and Microsoft Azure Storage. The frozen tier is available across Elastic Cloud, Elastic Cloud Enterprise, and Elastic Cloud on Kubernetes. It is fully integrated with autoscaling, allowing customers to seamlessly scale to store and search massive amounts of data.

Adding to the power of schema on read, Elastic introduces the general availability of Kibana runtime fields editor in Kibana Lens and Discover, which are Elastic’s intuitive user interfaces that streamline the process of data exploration. Analysts can format, modify, and transform data without navigating to other screens or calling upon Elasticsearch admins. This flexibility enables analysts to be more independent in their data exploration, giving them the power to make changes directly from their workflows and see results on the spot.

Additionally, an expanded partnership with Microsoft introduces enhanced integrations enabling joint customers to find and deploy Elastic directly from the Azure console and natively integrate observability and security data from Azure services. Available in public preview, customers can now quickly find, deploy, and manage Elasticsearch directly from within the Azure portal and benefit from consolidated billing and single sign-on to the Elastic Cloud console using Azure credentials. Customers can also take advantage of simplified ingestion for the Azure platform, virtual machine, and other resource logs.

Other key updates across the Elastic Stack, Elastic Cloud, and solutions include:

Elastic Stack and Elastic Cloud

Elastic announces the general availability of supervised machine learning in the Elastic Stack and Elastic Cloud. Customers can now take advantage of a single place to store, transform, build, test, and deploy supervised machine learning models to save time and reduce tool sprawl. Both supervised machine learning and anomaly detection are built on the Elastic Stack and tightly integrated into Elastic solutions including Elastic Security and Elastic Observability.