DataStax Announces Vector Search for DataStax Enterprise: Bringing the Power of Generative AI to Any Cloud, Hybrid, and On-premises Environments

Enabling Enterprises to Build AI-powered Applications with its Massively Scalable HIPAA-enabled, PCI and SOC2 Compliant Vector Database

DataStax, the real-time AI company, today announced the availability of vector search capabilities in DataStax Enterprise (DSE) – the on-premises database built on the open source Apache Cassandra® – now enabling any enterprise to build applications with the power of generative AI in their own datacenter.

The availability of vector search for DSE follows the company’s recent announcement of the general availability of vector search for its marquee cloud database, Astra DB. Organizations can now use DataStax’s scalable, secure and enterprise-ready vector databases to build generative AI applications on any cloud, in the data center, or in a hybrid cloud environment.

“We’re committed to delivering vector databases that meet the requirements of any enterprise as businesses everywhere look to infuse generative AI into scalable, secure, production-ready applications”

A database that supports vector search can store data as “vector embeddings,” which is essential to delivering generative AI applications like those built on GPT-4. The availability of vector search in DSE enables developers to easily leverage Cassandra as a vector database for their large language model (LLM), AI assistant, and real-time generative AI projects without sending data outside their secure networks.

DataStax DSE also supports the most stringent enterprise-level requirements for managing sensitive data including PHI, PII, and support with PCI enablement. Customers across highly regulated industries like banking and financial services, healthcare, and other industries processing highly sensitive data can utilize DSE to power their AI initiatives with best-in-class performance that leverages the speed and limitless scale of Cassandra.

“We’re committed to delivering vector databases that meet the requirements of any enterprise as businesses everywhere look to infuse generative AI into scalable, secure, production-ready applications,” said Ed Anuff, DataStax chief product officer. “While the scale and flexibility of cloud environments are compelling, some companies may choose to keep some or all of their data in their own data centers to adhere to regulatory requirements or for a variety of other reasons. We want to make it easy for any business looking to stay at the forefront of innovation to adopt generative AI now.”

Marketing Technology News: Ant Media Delivers Ant Media Server Through Google Cloud Marketplace

Vector search is included as a new feature in DataStax Enterprise 7.0, which offers powerful advancements in cloud-native operations and generative AI capabilities. DSE 7.0 is the only self-managed, enterprise-ready database with vector search capabilities, massive scale and extremely low latencies.

“I aim to foster an environment of experimentation and innovation so that we can find new and novel ways to extract information from all the data that we gather from our solutions,” said John Madden, Chief Architect – Fraud at ACI Worldwide. “We’ve been working with DataStax on new projects that have shaped our cloud migration strategy, future technology stack, and overall strategic vision for leveraging data within our solutions. Now, with the ability to leverage DSE to support generative AI applications using vector search, my team can explore new, innovative approaches to using data and align our long-term objectives with DataStax’s expertise, further enhancing our capabilities and vision for the future.”

Marketing Technology News: MarTech Interview With Maria Novikova, CMO at Xenoss