Elastic recognized for AI innovation (twice!) with 2025 Google Cloud Partner of the Year Awards

2025_POYA_Google_Blog.png

We're thrilled to announce that Elastic has been recognized with two 2025 Google Cloud Partner of the Year Awards! 

Acknowledged for AI Excellence:

  • Artificial Intelligence Partner of the Year - Data Management & AI

  • Artificial Intelligence Partner of the Year - Tooling

This recognition underscores our deep collaboration and shared commitment to driving innovation in the AI space. It's a testament to the powerful solutions we've built with Google Cloud, empowering businesses to leverage the full potential of generative AI. This achievement highlights the strength of our strategic partnership with Google Cloud, particularly in the realm of AI. We're not just integrating; we're fundamentally reshaping how organizations build and deploy production-ready GenAI applications.


"Our partnership with Google Cloud is founded on deep AI integrations and a shared commitment to innovation,” said Alyssa Fitzpatrick, global vice president of partner sales, Elastic. “This focus directly translates into empowering our customers, unlocking new possibilities, and driving impactful results within their organizations. We are witnessing firsthand how these combined efforts accelerate their success and reinforce the value of our collaborative approach."

A partnership built for production-ready GenAI

Our partnership with Google Cloud is focused on delivering practical, impactful AI solutions. We've worked closely to create seamless integrations that simplify the development and deployment of sophisticated GenAI applications.

One of the most significant milestones is Elastic's position as the first ISV to be integrated directly into the UI and SDK for Google Cloud’s Vertex AI platform. This integration allows users to effortlessly leverage Elastic's powerful vector search capabilities for grounded Google Gemini models prompts and agents. Imagine the ability to ground your LLM responses with your own data, ensuring accuracy and relevance — that's the power we're bringing to developers.

Unified experience, powerful capabilities

On the Elastic side, we've integrated deeply with Google Cloud's embedding, reranking, and completion models. This enables a unified experience for creating and ranking vectors, streamlining the process of building vector-based applications. By supporting multimodal approaches, we're making it easier to build applications that can handle diverse data formats, from text and images to audio and video.

Beyond application building: AI for IT operations

Our collaboration extends beyond just building AI applications. We're also harnessing the power of Google Cloud’s Gemini models to enhance IT operations. Elastic leverages Google’s Gemini models for Google Cloud to power features like:

  • Elastic AI Assistants: Simplifying complex tasks and providing intelligent insights to users

  • Attack Discovery: Identifying and mitigating security threats with greater speed and accuracy

  • Automatic Import: Streamlining data ingestion and reducing manual effort for security analysts and SREs

These features significantly reduce the daily effort required for security analysts and SREs, allowing them to focus on more strategic initiatives.

Observability and security for GenAI

Ensuring the performance and security of GenAI applications is paramount. That's why Elastic provides comprehensive monitoring of Vertex AI platform usage. We track critical metrics and logs, including response times, tokens, and resource utilization, to help ensure optimal performance. In collaboration with Google Cloud, Elastic provides a complete AI lifecycle management solution. From data ingestion and embedding generation to grounding with hybrid search, we help ensure that organizations have the tools they need to build and deploy robust, secure, and observable GenAI applications.

Managing the complete AI lifecycle

Our solution addresses every stage of the AI lifecycle:

  • Data ingestion: Seamlessly ingest data from various sources.

  • Embedding generation: Use Google Cloud's powerful embedding models to create vector representations of your data.

  • Grounding with hybrid search: Leverage Elastic's vector search to ground LLM responses with your own data, ensuring accuracy and relevance.

  • Observability: Monitor Vertex AI platform usage and track critical metrics to help ensure optimal performance.

  • Security: Implement robust security measures to protect your GenAI applications.

  • LLM-powered actions: Automate workflows and create intelligent responses.

Looking ahead

The recognition of Elastic’s partnership with Google Cloud through these two Google Cloud Partner of the Year Awards in the AI category fuels our commitment to further innovation. We're excited to continue pushing the boundaries of what's possible with AI, empowering organizations to unlock new levels of efficiency, productivity, and innovation.

Stay tuned for more updates on our continued collaboration with Google Cloud as we work to shape the future of GenAI.


Check out our Google Cloud Next event page for details on all the exciting things we’re doing at the event.

The release and timing of any features or functionality described in this post remain at Elastic's sole discretion. Any features or functionality not currently available may not be delivered on time or at all.

In this blog post, we may have used or referred to third party generative AI tools, which are owned and operated by their respective owners. Elastic does not have any control over the third party tools and we have no responsibility or liability for their content, operation or use, nor for any loss or damage that may arise from your use of such tools. Please exercise caution when using AI tools with personal, sensitive or confidential information. Any data you submit may be used for AI training or other purposes. There is no guarantee that information you provide will be kept secure or confidential. You should familiarize yourself with the privacy practices and terms of use of any generative AI tools prior to use. 

Elastic, Elasticsearch, ESRE, Elasticsearch Relevance Engine and associated marks are trademarks, logos or registered trademarks of Elasticsearch N.V. in the United States and other countries. All other company and product names are trademarks, logos or registered trademarks of their respective owners.