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DataStax

by IBM · Since 1911
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ActiveAvailable globallyCloud
Quick facts
VendorIBM
Year launched1911
StatusActive
LocationDataStax Headquarters 3975 Freedom Circle Santa Clara, CA 95054 United States
Countries servedGlobal
Languages11
IntegrationsN/A
Free tierNO
Free trialNO
Contact salesYES

About DataStax

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.

Pros & Cons

Pros
  • Allows users to easily visualize and analyze complex datasets
  • Provides a wide range of visualization options, including charts, graphs, and maps
  • Offers advanced data exploration features, such as filtering, grouping, and drilling down
  • Integrates seamlessly with DataStax's database solutions for seamless data management
  • Enables collaborative work on presentations with real-time editing and commenting features
Cons
  • Steeper learning curve for beginners due to the complexity of certain features
  • Limited customization options for templates and layouts
  • Occasional crashes or bugs when working with large datasets
  • Lack of advanced data visualization tools compared to other presentation software options

Features

Key features

AI-Ready Data Platform

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.

Astra DB Vector Database

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.

Langflow Low-Code Development

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.

Flexible Deployment Options

Supports cloud, hybrid, multi-cloud, private cloud, and on-premises deployments, allowing organizations to modernize infrastructure while maintaining compliance, flexibility, and operational consistency.

Enterprise Security & Governance

Protects enterprise information using encryption, access controls, governance tools, secure orchestration, and trusted infrastructure that supports regulatory compliance and responsible AI deployments.

Additional features

Vector Search

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.

Knowledge Graph Support

Combines graph capabilities with NoSQL storage to improve contextual relationships, intelligent search results, and enterprise knowledge management for AI-powered business applications and analytics.

Apache Cassandra Foundation

Built on Apache Cassandra for high availability, distributed architecture, predictable scalability, resilient performance, and continuous enterprise operations supporting mission-critical workloads worldwide.

Low-Code AI Development

Provides visual workflows that reduce coding complexity, helping developers prototype, test, deploy, and maintain generative AI applications more efficiently across multiple environments and integrations.

Real-Time Data Processing

Processes enterprise information with near-zero latency, enabling responsive AI applications, analytics platforms, recommendation engines, and business-critical decision-making systems at enterprise scale.

Pricing

Free trial
Free version
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Countries & Languages

Global
Countries served
11
Interface languages
13
Billing currencies

Interface languages

EnglishSpanishFrenchGermanItalianPortugueseDutchRussianChineseJapaneseKorean.

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇯🇵JPY🇦🇺AUD🇨🇦CAD🇨🇳CNY🇨🇭CHF🇸🇪SEK🇮🇳INR🇸🇬SGD🇭🇰HKD🇺🇸USD

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