The new stateless Elasticsearch architecture is optimized for real-time search on limitless data to scale security, observability and search without operational overhead

Elastic Announces General Availability of Elastic Cloud Serverless Powered by Search AI Lake

Alexia Russell
PR-team@elastic.co

Elastic (NYSE: ESTC), the Search AI Company, today 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.

“The need for scalability within search has never been more prevalent,” said Maribel Lopez, Founder & Principal Analyst of Lopez Research. “Serverless architecture supports the development of AI-powered search applications because it offers significant benefits in terms of scalability, cost-efficiency, and flexibility for modern software development. Companies need this type of architectural flexibility to navigate a rapidly changing AI landscape without having to make scale or performance trade-offs."

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.

“Ingesting data and querying the cluster showed nearly zero latency using Elastic Cloud Serverless,” said Madison Bahmer, Senior Principal Enterprise Architect, Two Six Technologies. “It is really fast and extremely easy to set up; we provisioned a new project without needing technical expertise.”

Streamlined solutions that start fast and search faster

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.

“What has stood out to our team with Elasticsearch Serverless is its ease of use,” said Marcel Makus, Development Manager at SAP Concur. “Elasticsearch Serverless is simple to use as a fully managed service, and it takes virtually no time to set up a new project. We’ve also been impressed with how well Elastic delivers on its autoscaling capabilities.”

“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 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. Support for Google Cloud instances will also be available in early 2025.

Elastic Cloud Serverless offers both streamlined solutions and pricing. Information on the solution-specific pricing is available here. Read the blog to learn how to get started more, including for search, observability, and security, or start your free trial now.

About Elastic

Elastic (NYSE: ESTC), the Search AI Company, enables everyone to find the answers they need in real-time using all their data, at scale. Elastic’s solutions for search, observability and security are built on the Elastic Search AI Platform, the development platform used by thousands of companies, including more than 50% of the Fortune 500. Learn more at elastic.co.

Elastic and associated marks are trademarks or registered trademarks of Elastic N.V. and its subsidiaries. All other company and product names may be trademarks of their respective owners.

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