DataStax provides enterprise-grade AI data infrastructure that simplifies unstructured data management, accelerates generative AI development, strengthens governance, delivers scalable vector search, and supports flexible deployment across cloud, hybrid, and on-premises environments while reducing operational complexity and infrastructure costs.
DataStax is an enterprise AI data platform, now part of IBM, designed to help organizations build, deploy, and scale artificial intelligence applications using real-time, unstructured, and multimodal data. The platform combines Astra DB, Hyper-Converged Database (HCD), and Langflow to provide an AI-ready infrastructure that supports cloud, hybrid, multi-cloud, and on-premises deployments. Built on Apache Cassandra, DataStax delivers highly scalable NoSQL database capabilities with vector search, knowledge graph support, and near-zero latency for mission-critical workloads. Its low-code Langflow environment simplifies the development of retrieval-augmented generation (RAG) applications and multi-agent AI systems by integrating seamlessly with models, APIs, and enterprise databases. DataStax strengthens governance through encryption, access controls, secure orchestration, and enterprise-grade compliance features while reducing operational complexity with automated data management. Organizations can efficiently ingest, enrich, retrieve, and manage unstructured data for generative AI, analytics, and application development without sacrificing performance or security. Integration with IBM watsonx.data and watsonx Orchestrate enhances AI workflows, enabling developers to accelerate production deployments while maintaining governance and scalability.
Provides scalable infrastructure for managing structured, unstructured, and multimodal enterprise data, enabling organizations to build secure, production-ready AI applications with reliable performance across diverse deployment environments.
Delivers Apache Cassandra-powered NoSQL storage with vector search, knowledge graphs, elastic scalability, predictable performance, and near-zero latency for demanding AI and enterprise workloads.
Simplifies retrieval-augmented generation and multi-agent AI application development through an intuitive visual interface supporting models, APIs, databases, and deployment workflows with minimal coding.
Supports cloud, hybrid, multi-cloud, private cloud, and on-premises deployments, allowing organizations to modernize infrastructure while maintaining compliance, flexibility, and operational consistency.
Protects enterprise information using encryption, access controls, governance tools, secure orchestration, and trusted infrastructure that supports regulatory compliance and responsible AI deployments.
Enables semantic search across enterprise datasets using high-performance vector indexing, improving AI retrieval accuracy, contextual understanding, and knowledge discovery for modern applications and intelligent assistants.
Combines graph capabilities with NoSQL storage to improve contextual relationships, intelligent search results, and enterprise knowledge management for AI-powered business applications and analytics.
Built on Apache Cassandra for high availability, distributed architecture, predictable scalability, resilient performance, and continuous enterprise operations supporting mission-critical workloads worldwide.
Provides visual workflows that reduce coding complexity, helping developers prototype, test, deploy, and maintain generative AI applications more efficiently across multiple environments and integrations.
Processes enterprise information with near-zero latency, enabling responsive AI applications, analytics platforms, recommendation engines, and business-critical decision-making systems at enterprise scale.
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DataStax provides enterprise-grade AI data infrastructure that simplifies unstructured data management, accelerates generative AI development, strengthens governance, delivers scalable vector search, and supports flexible deployment across cloud, hybrid, and on-premises environments while reducing operational complexity and infrastructure costs.
Does DataStax have an in-app market place?
Yes
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