Elastic makes available Elastic Cloud Serverless powered by Search AI Lake

Elastic has announced the general availability of its Elastic Cloud Serverless powered by a re-architectured Elasticsearch that is built on an industry-first Search AI Lake optimized for real-time applications. It combines vast storage with low-latency querying and all of the strengths of Elasticsearch's AI and search capabilities.

Elastic Cloud Serverless is engineered to tackle high-volume, complex, and high-performance workloads—from retrieval augmented generation (RAG) to threat detection. By decoupling compute from storage, indexing from search and using cost-effective cloud-native object storage, the architecture scales seamlessly while retaining the rapid, low-latency querying performance and AI relevance capabilities of Elasticsearch.

The fully managed Elastic Cloud Serverless offers both streamlined solutions and pricing. The new solution-specific pricing aligns costs with actual usage tailored to the different needs of security, observability, and search — offering greater flexibility and predictability. 

By focusing on resource-based metrics like data ingestion, storage, and compute units, Elastic makes it easier for customers to manage budgets and scale as needed — enabling more control to manage workloads across different applications.

In addition, new volume pricing for security and observability data—using a tiered pricing model—simplifies scaling by reducing costs per unit as data usage increases, making it easy for customers to set up new projects for search, observability and security.

● Elasticsearch Serverless lets developers rapidly build AI-powered search applications with the latest features, save time managing infrastructure, and scale up or down to meet their needs.

● Elastic Observability Serverless enables a hassle-free experience without the overhead of managing the Elastic Stack or manually scaling capacity.

● Elastic Security Serverless provides security analysts with a new cloud deployment option for their security analytics and SIEM use cases.

"With our fully managed Elastic Cloud Serverless, we're helping customers save more, scale fast, and search faster," said Ken Exner, chief product officer at Elastic. "By removing operational overhead, developers can rapidly build AI-powered search applications without concern for latency or scalability. Our Search AI Lake inherently supports dense vectors and features such as hybrid search, faceted search, and relevance ranking, which are especially vital for applications like GenAI and RAG."

Pricing and availability

Elastic Cloud Serverless is initially generally available on AWS. Support for Azure and Google Cloud instances will be available in early 2025, opening Elastic Cloud Serverless to Microsoft's growing cloud ecosystem for seamless integration with Azure services like Blob Storage, Event Hubs, and Azure Active Directory, among many others, to streamline workflows.