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Get inspired: Database success stories at Google Cloud Next

April 3, 2024
Joey Lynne Hernandez

Product Marketing Manager, Databases

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Inspiration awaits! Google Cloud Next takes over Las Vegas on April 9-11, bringing together a powerhouse collection of innovative customers who are pushing the boundaries with Google Cloud. In this blog, we'll shine a spotlight on customers leveraging Google Cloud databases to transform their businesses.

And don’t forget to add these sessions to your event agenda to catch their insights and experiences at Next ‘24.


Autonomous driving company, Nuro, uses vector similarity search to help classify objects that autonomous vehicles encounter while driving on the road and ultimately trigger the right action.

Nuro currently has hundreds of millions of vectors that are moving to AlloyDB AI in order to simplify their application architecture.

Fei Meng, Head of Data Platform, Nuro

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Lightricks utilizes the popular pgvector extension on Cloud SQL for PostgreSQL to categorize video "Templates" within their Videoleap application. Videoleap UGC is a comprehensive social platform developed by Lightricks, which is designed for editing and sharing videos. Template categorization allows users to easily search through the provided templates to find one that matches their needs and generate their own customized videos.

The usage of pgvector has enabled us to use semantic search instead of traditional keyword search. The retrieval rate due to the use of pgvector increased by 40% and the template usage from the retrieved results increased by 40% as well. The usage of the pgvector hnsw index enabled us to query millions of embeddings with high accuracy and response times below 100ms.

David Gang, Tech Lead, Brands

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Bayer Crop Science is a division of Bayer dedicated to agricultural advancements. Their modern data solution, “Field Answers,” which stores and analyzes vast amounts of observational data, experienced an increase in data load and latency requirements. And with the fall harvest season looming, Bayer needed a solution that would hold up to the upcoming demand. The team turned to AlloyDB for PostgreSQL, drawn by its compatibility with existing systems and low replication lag. This upgrade has helped streamline operations, centralize solutions, and improve collaboration with data scientists across the company.

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Yahoo!’s global reach demanded a data solution that would allow them to offer transformative experience at scale. With audacious goals for modernization, Yahoo! leveraged Spanner as a database to meet its strategy requirements. With Spanner’s superior performance, low cost, low operational overhead and global consistency, Yahoo! plans to consolidate diverse databases and expand Spanner’s footprint to support other services.

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Statsig helps companies ship, test, and manage software and application features with confidence. Facing bottlenecks and connectivity issues, the company realized it needed a performant, reliable, scalable, and fully managed Redis service—and Memorystore for Redis Cluster ticked all the boxes. With real-time analytics capabilities and robust storage (99.99% SLA) at a lower cost, Memorystore provides a higher queries per second (QPS) capacity. This allows Statsig to refocus on its core mission: building a full product observability platform that maximizes impact.

>> Add to my agenda <<

Hit the databases jackpot at Google Cloud Next

If these stories have sparked your imagination, then get ready for even more inspiration at Google Cloud Next '24!  Register now and be sure to add these breakout sessions mentioned above to your agenda to experience firsthand how Google Cloud databases are empowering businesses to achieve amazing things. We'll see you in Las Vegas!

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