DataStax Launches Multi-region Vector Data Support, Enabling Ultra-low Latency, Highly Available GenAI Applications

Astra DB Vector Now Globally Available, Providing Customers with the Performance, Resilience, and Availability Needed to Power Real-time, Relevant GenAI Applications

SANTA CLARA, Calif.--(BUSINESS WIRE)--DataStax, the GenAI data company, today announced multi-region vector data support in DataStax Astra DB. With the launch of multi-region support, users can put their relevant data in the right location to maximize responsiveness while delivering high availability for their GenAI application.

In addition to accuracy and relevance, speed is a primary requirement of a GenAI application as slow response times result in a poor user experience. Multi-region vector availability brings vector data closer to end-users, reducing latency and delivering real-time responses. Customers also benefit from streamlining GenAI application testing and validation processes with the ability to efficiently replicate staging environments to different regions, allowing for thorough testing in geographically diverse settings. This is also beneficial for managing increasing demands without sacrificing performance or availability as user data volumes grow.

“Multi-region vector for building GenAI applications is a game changer,” said Rahul Singh, CEO, Anant Corp. “With Astra DB's vector search capabilities replicated across regions, we've entered an era of improved data availability and performance. By serving users from nearby regions, we enhance performance and elevate user experiences. It's not just a feature; it's essential for guaranteeing high availability, improving performance, and streamlining operations, which are critical for our success.”

With multi-region capabilities, organizations can put their relevant data in the right place to dramatically decrease latency, boost application responsiveness, and ensure a robust continuity of operations. Developers building GenAI applications with Astra DB can serve data closer to end users and minimize latency, which leads to higher throughput and, ultimately, higher relevance.

“Multi-region is another step in providing all the data, integrations, and tools required to put GenAI applications on a fast path to production,” said Ed Anuff, chief product officer, DataStax. “We know organizations are going to require high-relevance, low-latency, and global scale for their applications. Our multi-region vector capabilities offer high data availability, reduce latency, and facilitate seamless staging to production replication to deliver highly relevant answers, and enabling our customers to deliver the best RAG-powered user experiences possible.”

Get Started here with multi-region vector in Astra DB, and to learn more about DataStax’s multi-region vector capabilities, check out the blog here.

About DataStax

DataStax, the GenAI data company, helps developers and companies successfully create a bold new world through GenAI. We offer a one-stop Generative AI Stack with everything needed for a faster, easier, path to production for relevant and responsive GenAI applications. DataStax delivers a RAG-first developer experience, with first-class integrations into leading AI ecosystem partners, so we work out with developers’ existing stacks of choice. Anyone can quickly build smart, high-growth AI applications at unlimited scale, on any cloud. Hundreds of the world’s leading enterprises, including Audi, Bud Financial, Capital One, SkyPoint Cloud, and many more rely on DataStax to deliver GenAI. Learn more at DataStax.com.

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