Modernize with drop-in, disruption-free compatibility and lower operational overhead and TCO, while adding GenAI and vector search capabilities to self-managed, enterprise data workloads.
Zero-downtime upgrade tools can transparently migrate from Cassandra or DataStax Enterprise to HCD. A phased migration approach enables rollback at any time. Cutover when confident.
Mission Control offers a single interface for the operational management of the entire DataStax product suite, along with affiliated open-source projects‚ wherever they’re deployed.
Repair, backup, and restore automatically, with enhanced observability OOTB.
Accurate, hallucination-free AI requires securely accessing sensitive data for RAG and vector search.
Build fast and scale easily with rapid provisioning, simple APIs, and data modeling freedom.
With integrations like Azure Arc and Azure Arc-enabled Azure Kubernetes Service (AKS), DataStax HCD allows organizations to manage, monitor, and secure resources consistently across both Azure and non-Azure environments.
A Hyper-Converged Database (HCD) combines compute, storage, and networking into a unified system designed for AI, real-time analytics, and enterprise data workloads. By integrating these components, HCD eliminates data silos, reduces latency, and simplifies infrastructure management.
DataStax HCD is built to handle large-scale AI workloads with features like vector search, real-time data processing, and distributed architecture. This allows AI models to quickly access and analyze data, improving performance for use cases like generative AI, natural language processing, and predictive analytics.
Unlike traditional databases, a hyper-converged database offers faster data access, simplified infrastructure, and improved scalability. Its integrated design reduces the need for separate hardware components, leading to lower operational costs and higher performance.
Yes, DataStax HCD is optimized for real-time analytics, enabling businesses to process and analyze data as it arrives. This capability is essential for use cases like fraud detection, real-time customer insights, and IoT data processing.
Absolutely! DataStax HCD supports both cloud native and on-premises deployments, providing flexibility for organizations that need to manage data across multiple environments while maintaining high performance and scalability.
DataStax HCD includes enterprise-grade security features such as encryption, access controls, and compliance with industry standards like GDPR, SOC 2, and HIPAA. These features ensure that sensitive data is protected, whether it's stored on-premises or in the cloud.
DataStax HCD is ideal for industries like financial services, healthcare, e-commerce, and telecommunications, where real-time data processing, AI-driven insights, and scalable infrastructure are essential for business success.
DataStax HCD integrates seamlessly with AI frameworks like TensorFlow and PyTorch, as well as cloud platforms like AWS, Google Cloud, and Microsoft Azure. Its cloud native architecture ensures scalability, flexibility, and compatibility with modern AI and machine learning workflows.