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Description
IBM DataStax brings together Astra DB, Hyper-converged Database (HCD), and Langflow to extend watsonx capabilities for managing real-time, unstructured, and multimodal data at enterprise scale. The platform delivers open, AI-ready infrastructure that operates across on-premises, hybrid, and multi-cloud environments, designed to power secure, governed, and production-grade AI and application workloads.
Astra DB is a cloud-native NoSQL vector database built on Apache Cassandra, recognized as a Forrester Leader for its NoSQL vector search capabilities. It supports tabular, search, and graph data formats, enabling complex and context-sensitive queries for generative AI applications. Astra DB is engineered for elastic scalability and near-zero latency, making it suitable for mission-critical workloads.
Hyper-converged Database (HCD) provides the same capabilities for organizations running on-premises or in private cloud environments. Both Astra DB and HCD are delivered as part of IBM watsonx.data Premium edition, enabling vector-enhanced NoSQL storage integrated with the broader watsonx data ecosystem.
Langflow is an open-source, low-code tool with over 100,000 GitHub stars that enables developers to prototype, build, and deploy retrieval-augmented generation and multi-agent AI applications. Built in Python and designed to work across models, APIs, and databases, Langflow integrates with IBM watsonx Orchestrate as middleware, reducing complexity and supporting a frictionless path from prototype to production.
Together, these technologies accelerate unstructured data access, reduce AI development friction, and lower total cost of ownership by automating data ingestion, enrichment, and retrieval across enterprise environments.
Use cases
- Automating ingestion and enrichment of unstructured enterprise data for AI workloads
- Building and deploying retrieval-augmented generation applications with low-code tooling
- Running vector search across unstructured and multimodal data for generative AI use cases
- Deploying NoSQL databases with near-zero latency on cloud or on-premises environments
- Orchestrating multi-agent AI applications using Langflow integrated with watsonx Orchestrate
- Managing real-time data pipelines for production-grade AI applications at enterprise scale
- Securing and governing unstructured data access with enterprise-grade encryption and access controls
- Enabling hybrid and multi-cloud database deployments built on Apache Cassandra infrastructure
- Reducing cloud database costs through automated unstructured data management and optimization
- Scaling AI application development from prototype to production using open-source Langflow tooling
