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Elastic Signs 5-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

Elastic 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.

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Elastic Signs 5-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

Elastic 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.

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While 87% of manufacturing leaders and technical specialists report that ROI from their AIOps initiatives has met or exceeded expectations, only 37% say they are fully prepared to operationalize AI at scale, according to The Future of IT Operations in the AI Era, a report from Riverbed ...

Many organizations rely on cloud-first architectures to aggregate, analyze, and act on their operational data ... However, not all environments are conducive to cloud-first architectures ... There are limitations to cloud-first architectures that render them ineffective in mission-critical situations where responsiveness, cost control, and data sovereignty are non-negotiable; these limitations include ...

For years, cybersecurity was built around a simple assumption: protect the physical network and trust everything inside it. That model made sense when employees worked in offices, applications lived in data centers, and devices rarely left the building. Today's reality is fluid: people work from everywhere, applications run across multiple clouds, and AI-driven agents are beginning to act on behalf of users. But while the old perimeter dissolved, a new one quietly emerged ...

For years, infrastructure teams have treated compute as a relatively stable input. Capacity was provisioned, costs were forecasted, and performance expectations were set based on the assumption that identical resources behaved identically. That mental model is starting to break down. AI infrastructure is no longer behaving like static cloud capacity. It is increasingly behaving like a market ...

Resilience can no longer be defined by how quickly an organization recovers from an incident or disruption. The effectiveness of any resilience strategy is dependent on its ability to anticipate change, operate under continuous stress, and adapt confidently amid uncertainty ...

Mobile users are less tolerant of app instability than ever before. According to a new report from Luciq, No Margin for Error: What Mobile Users Expect and What Mobile Leaders Must Deliver in 2026, even minor performance issues now result in immediate abandonment, lost purchases, and long-term brand impact ...

Artificial intelligence (AI) has become the dominant force shaping enterprise data strategies. Boards expect progress. Executives expect returns. And data leaders are under pressure to prove that their organizations are "AI-ready" ...

Agentic AI is a major buzzword for 2026. Many tech companies are making bold promises about this technology, but many aren't grounded in reality, at least not yet. This coming year will likely be shaped by reality checks for IT teams, and progress will only come from a focus on strong foundations and disciplined execution ...

AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...

More data center leaders are reducing their reliance on utility grids by investing in onsite power for rapidly scaling data centers, according to the Data Center Power Report from Bloom Energy ...