DataStax HCD (Hyper-Converged Database)

DataStax HCD is data infrastructure for AI data clouds, designed to support the most powerful systems as they upgrade to accommodate generative AI.

HCD is intended for enterprises focused on data center modernization, hyper-converged infrastructure (HCI), and advanced data workloads in generative AI, offering:

• Modernized Architecture: Separation of Compute and Storage for data workloads in data center environments supporting HCI, leading to up to 20% reduction in infrastructure costs for licensing and hardware.
• Cloud-native Data Operations and Observability: Designed for modern DevOps, this architecture reduces operational overhead by up to 75%, powered by Kubernetes.
• Developer Productivity: Features rapid provisioning, intuitive data APIs, and a comprehensive GenAI stack for enterprise Retrieval Augmented Generation (RAG).
• Proven Open-source Foundation: Built on Apache Cassandra™ – a trusted leader in AI workloads used by Netflix, Uber, and other major internet companies.

Ideal Use Cases for DataStax HCD

DataStax HCD is suited for enterprise operators and architects advancing data center modernization for on-premises enterprise data, including:

• Generative AI: Enhanced vector search capabilities built on the open-source JVector algorithm.
• Data Center Modernization: Reduces infrastructure and hardware expenses with HCI.
• TCO Initiatives: Lowers total cost of ownership through modern DevOps and improved developer productivity.

Azure Arc Integration

Azure Arc empowers enterprises with physical, hybrid, or multi-cloud infrastructures to manage resources as if they were native Azure assets. Offering a unified control plane, Azure Arc provides seamless management and operational control across all servers and databases in different environments.

DataStax customers can leverage Azure Arc’s centralized "single pane of glass" to streamline deployment, monitoring, and lifecycle management of their infrastructure, ensuring consistent operations across on-premises, Azure, and multi-cloud environments.