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DataStax Expands Enterprise AI Capabilities with the Release of a New Hyper-Converged Data Platform

Leading provider of Generative AI data, DataStax, has announced that DataStax Enterprise (DSE) 6.9 will soon be available together with the next release of DataStax HCDP (Hyper-Converged Data Platform).

Leading provider of Generative AI data, DataStax, has announced that DataStax Enterprise (DSE) 6.9 will soon be available together with the next release of DataStax HCDP (Hyper-Converged Data Platform). These products are well-positioned to enable businesses to successfully include vector search and generative AI into their enterprise data workloads that are self-managed.

DataStax HCDP is the self-managed data system of the future, built for Hyper-Converged Infrastructure (HCI) and new data centres. It offers strong support for on-premises business data systems ready for AI integration and accommodates a range of data workloads and AI systems. HCDP, which is best suited for corporate operators and architects, uses investments in data centre modernization to save operating costs and simplify operational overhead.

Integrating OpenSearch with Apache Pulsar to enable Generative AI RAG (Retrieval-Augmented Generation) Knowledge Retrieval is one of the fundamental components of HCDP. Users may access data with unmatched flexibility by combining the vector search capabilities of DataStax’s cloud-native, NoSQL Hyper-Converged Database with OpenSearch’s Enterprise Search capabilities. 

Mukul Karnik, General Manager of Search Services at AWS, highlighted the significance of DataStax’s collaboration, stating, “We are excited to have Datastax join the community and offer OpenSearch as part of HCDP, and we look forward to seeing how their customers use it to build a range of new generative AI-powered services and applications.”

Built using Apache Pulsar, hyper-converged streaming (HCS) enhances HCDP by offering efficient data transfers for contemporary infrastructures. HCS offers contextual generative AI experiences and speedier reaction times by providing native support for inline data processing and embedding. Furthermore, HCS makes it possible to consolidate workloads from outdated applications, which makes it easier to modernise application communication across various cloud environments.

Ed Anuff, Chief Product Officer at DataStax, emphasized the company’s commitment to delivering the future of self-managed data for modern infrastructure and AI systems. He stated, “We’re delivering the future of self-managed data for modern infrastructure and AI systems, and enabling enterprises to get the most out of their data center modernization and total cost of ownership.”

Conversely, DataStax Enterprise 6.9 enhances the generative AI capabilities of current on-premises data platforms. Director of Technology at Neontri Marcin Dobosz said he was looking forward to DSE 6.9’s advances in real-time digital banking services since it can improve consumer involvement without affecting essential system loads. Dobosz continued, “With features like the Vector Add-On and DataStax Mission Control, DSE 6.9 aligns with our goal of modernising technology stacks for financial institutions.”

Picture of Anshika Mathews
Anshika Mathews
Anshika is an Associate Research Analyst working for the AIM Leaders Council. She holds a keen interest in technology and related policy-making and its impact on society. She can be reached at anshika.mathews@aimresearch.co
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