-

Elastic Signs Five-Year Strategic Collaboration Agreement with AWS to Accelerate AI Innovation at Scale

Strategic go-to-market collaboration and integrations to help customers build secure AI applications faster with combined search and generative AI capabilities

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI company, announced a new five-year strategic collaboration agreement (SCA) with Amazon Web Services (AWS). The agreement reflects a shared commitment to help accelerate organizations’ transition into AI-native enterprises through joint product integrations and go-to-market (GTM) initiatives that help customers build generative AI-based applications faster while reducing complexity.

Building on a foundation of strong collaboration, Elastic and AWS will continue to invest in technical integrations designed to help customers drive their AI innovation. The integrations of Elastic’s Search AI Platform and AWS services will empower customers to build intelligent, scalable, and secure applications with unprecedented speed and flexibility, and will enable them to,

  • Leverage Generative AI features across Elastic solutions using high-performing foundation models through Amazon Bedrock.
  • Unlock support for migrating Elasticsearch workloads from on-premise data centers to Elastic Cloud on AWS
  • Benefit from ongoing cost efficiencies when using Elastic Cloud Serverless on AWS
  • Accelerate agentic AI as a result of the Elastic and AWS collaboration on Model Context Protocol (MCP) and agent-to-agent interoperability
  • Build solutions that protect data across all layers for customers in highly regulated industries, including the Public Sector and Financial Services

“As the speed of generative AI adoption accelerates, search has become increasingly relevant,” said Ash Kulkarni, chief executive officer at Elastic. “Our collaboration with AWS and integration with Amazon Bedrock brings the power of search directly to generative AI for a host of use cases, including cybersecurity and observability. Together, we’re enabling developers to build intelligent, context-aware applications that leverage their own data securely and at scale.”

"Together with Elastic, we're helping customers transform how they leverage data and AI to drive innovation," said Ruba Borno, vice president, Specialists and Partners at AWS. "This strategic collaboration delivers particular value for highly regulated industries requiring robust data protection, while our shared commitment to standards like Model Context Protocols enables seamless agent-to-agent interactions. Available through AWS Marketplace, customers will be able to quickly deploy solutions that combine Elastic's powerful search capabilities with Amazon Bedrock on the secure, global AWS infrastructure, helping them build compliant, intelligent applications that accelerate their AI journey."

The SCA will build on the long-standing collaboration between AWS and Elastic. For example, Elastic AI Assistant, Attack Discovery, Automatic Import, Automatic Migration, Automatic Troubleshoot, and AI Playground integrate with Large Language Models through Amazon Bedrock. These integrations help customers accelerate root cause analysis, synthesize complex signals into actionable insights, automate data onboarding in minutes, and simplify migration. With natural language and RAG-powered workflows, teams can interact with data more intuitively and drive faster, smarter decisions.

Customers, including Generis and BigID, benefit from Elastic’s work with AWS:

"The strength of the Elastic and AWS partnership has been fundamental to Generis’s mission of delivering secure, compliant, and intelligent solutions for clients in highly regulated industries," said Mariusz Pala, CTO at Generis. "By deploying Elastic on AWS, we’ve reduced average search times by 1000% and cut the time to produce complex, compliance-driven documents from two weeks to just two days, providing our clients real-time insights while upholding the highest standards of data integrity and control.”

"Leveraging Elastic Cloud on AWS has been transformative for BigID. We've achieved a 120x acceleration in query performance, enabling real-time data insights that were previously unattainable," said Avior Malkukian, Head of DevOps at BigID. "The scalability and flexibility of Elastic Cloud on AWS allow us to efficiently manage vast and complex data landscapes, ensuring our customers can swiftly discover and protect their sensitive information. Elastic Cloud on AWS is a powerful combination that allows us to deliver innovative features, reduce operational costs, and maintain our leadership in data security and compliance."

This SCA comes on the heels of Elastic’s recent recognition within the AWS Partner Network. In December 2024, Elastic was named the AWS Global Generative AI Infrastructure and Data Partner of the Year. It was among the first 15 AWS software partners recognized at the launch of the AWS Generative AI Competency. In recent months, Elastic was also recognized by AWS for its work in the public sector, receiving AWS competency designations for both the Government (February) and Education (May) sectors.

Read the Elastic blog to learn more about the ongoing collaboration between Elastic and AWS.

About Elastic:

Elastic (NYSE: ESTC), the Search AI Company, integrates its deep expertise in search technology with artificial intelligence to help everyone transform all of their data into answers, actions, and outcomes. Elastic's Search AI Platform — the foundation for its search, observability, and security solutions — is 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 Elasticsearch B.V. and its subsidiaries. All other company and product names may be trademarks of their respective owners.

Contacts

Media Contact

Alexia Russell
PR-team@elastic.co

Elastic N.V.

NYSE:ESTC

Release Versions

Contacts

Media Contact

Alexia Russell
PR-team@elastic.co

More News From Elastic N.V.

Elastic Delivers GPU Infrastructure to Self-Managed Elasticsearch Customers via Cloud Connect

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI Company, announced the availability of Elastic Inference Service (EIS) via Cloud Connect for self-managed Elasticsearch deployments. Organizations can now gain on-demand access to cloud-hosted inference capabilities without managing GPU infrastructure, all while maintaining their core infrastructure and data on-premises. Users also gain immediate access to models by Jina.ai, an Elastic company and a leader in open-source multil...

Elastic Adds High-Precision Multilingual Reranking to Elastic Inference Service with Jina Models

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI Company, today made two Jina Rerankers available on Elastic Inference Service (EIS), a GPU-accelerated inference-as-a-service that makes it easy to run fast, high-quality inference without complex setup or hosting. These rerankers bring low-latency, high-precision multilingual reranking to the Elastic ecosystem. As generative AI prototypes move into production-ready search and RAG systems, users run into relevance and inference...

Elastic Announces General Availability of Agent Builder with Expanded Capabilities

SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI Company, announced the general availability of Agent Builder, a complete set of capabilities that helps developers quickly build secure, reliable, context-driven AI agents. AI agents need the right context to perform complex tasks accurately. Built on Elasticsearch, Agent Builder excels at context engineering by delivering relevance in a unified platform that scales, searches, and analyzes enterprise data. It dramatically simpl...
Back to Newsroom