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IBM DataStax
Manage data for AI at scale


Manage data for AI at scale

WatsonWorks Products
IBM Storage Software - Analytics
Deepening watsonx capabilities to address enterprise gen AI data needs with DataStax.
#IBM-DataStax
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Overview:

Deepening watsonx capabilities with DataStax to unlock enterprise data and build accurate, enterprise-ready AI apps

DataStax® is bringing cutting-edge capabilities—spanning Astra DB, HCD, Langflow—to watsonx®, enabling enterprises to manage real-time, unstructured and multimodal data for AI at scale.

The result: Open, AI-ready infrastructure that runs anywhere—on-prem, hybrid or multi-cloud—while simplifying how enterprises power secure, governed and production-grade AI and application workloads.

Access AI-ready unstructured data

Automate ingestion, enrichment and retrieval of unstructured data to reduce friction and accelerate the deployment and scaling of AI workloads and enterprise applications.

Simplify data access and governance

Simply secure data access and governance with enterprise-grade tooling, built on trusted infrastructure and open-source innovation, seamlessly integrated with watsonx to deliver built-in encryption, access controls and streamlined orchestration of unstructured data.

Deploy anywhere with flexible tooling

Complementary with watsonx, scale and deploy reliable AI workloads across any cloud or on-premises environment by using open source, low-code tooling for the ultimate speed and flexibility for modern enterprise applications.

Reduce operational complexity

Lower the total cost of ownership and simplify AI operations by automating unstructured data management, helping reduce overall cloud database costs.

Features:

Astra DB

Astra DB enhances the vector capabilities of IBM® watsonx.data®, strengthening our retrieval-augmented generation and knowledge embedding capabilities. Built for elastic scalability and predictable performance, Astra DB also supports mission-critical workloads with near-zero latency.

Astra DB
Langflow

Langflow

Langflow an open-source tool with over 100,000 GitHub stars. The tool enables developers to prototype, build and deploy retrieval-augmented generation and multi-agent AI applications through an intuitive low-code interface.

How we accelerate value together

Enterprise data is largely unstructured—and unlocking its value is essential to scaling AI. Together, Langflow and Astra DB reduce friction in generative AI development by enabling teams to access, orchestrate and operationalize unstructured data more easily. Langflow’s low-code design environment simplifies app development, while Astra DB delivers advanced vector and knowledge graph capabilities with built-in support for high availability, linear scalability and multi-model data operations. Paired with watsonx.data and watsonx Orchestrate, these tools help accelerate time to value, giving enterprises a faster path to building AI-powered solutions grounded in their unique data assets.

Benefits:

Simplified generative AI development

Langflow has earned over 100,000 stars on GitHub, reflecting its rapid adoption and ability to simplify generative AI development at scale.

Accelerated developer productivity

Tens of thousands of developers use Langflow to reduce complexity and speed up every stage of the generative AI pipeline from orchestration to deployment.

Built for AI production

Astra DB delivers real-time performance with near-zero latency, and is built for high-speed vector search and AI workloads.

Pricing Notes:

WatsonWorks Products
IBM Storage Software - Analytics
Deepening watsonx capabilities to address enterprise gen AI data needs with DataStax.
#IBM-DataStax
Our Price: Request a Quote