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IBM Gold Partner · Acquired by IBM 2025

IBM DataStax

The enterprise data platform purpose-built for AI — NoSQL and vector database capabilities powered by Apache Cassandra, combined with Langflow for low-code AI application development. Now part of IBM's watsonx portfolio, DataStax unlocks the 93% of enterprise data that is unstructured and puts it to work for generative AI.

What is IBM DataStax?

The AI data platform that handles unstructured data at scale

IBM acquired DataStax in early 2025, integrating it directly into the watsonx portfolio. The rationale is straightforward: 93% of enterprise data is unstructured — documents, emails, logs, sensor streams, social data — and traditional relational databases cannot handle it at the speed and scale that AI applications demand.

DataStax fills that gap. Built on Apache Cassandra — the battle-tested NoSQL database trusted by organisations like Netflix, Apple, and Uber — DataStax adds enterprise-grade vector search, real-time data streaming, and a low-code AI development environment to IBM's already powerful watsonx AI stack.

Apache Cassandra at the Core

DataStax Enterprise and AstraDB are built on Apache Cassandra — the open-source NoSQL database designed for massive scale, zero single points of failure, and always-on availability across distributed environments and multiple regions.

Vector Database for AI

AstraDB's vector capabilities are purpose-built for retrieval-augmented generation (RAG) pipelines — enabling high-performance semantic search across vast volumes of unstructured data to ground your enterprise LLMs in real, accurate information.

Langflow — Low-Code AI Development

Langflow is the open-source, low-code platform for building AI applications and agent workflows — allowing developers to visually assemble RAG pipelines, multi-agent systems, and AI-powered applications without deep ML expertise.

The DataStax Platform

Three Products.
One AI Data Platform.

DataStax brings three complementary technologies into the IBM watsonx ecosystem — covering the full spectrum from raw data storage through to AI application development.

AstraDB
Cloud-native, serverless NoSQL and vector database — deploy on any cloud, scale automatically, zero ops overhead. Ideal for AI applications requiring real-time vector search.
DataStax Enterprise (DSE)
On-premises and hybrid deployment of Apache Cassandra with enterprise features — advanced security, multi-model data support (JSON, time-series, graph, key-value), and SLA-backed support.
Langflow
Open-source visual builder for AI pipelines and agent workflows — drag-and-drop components for RAG, multi-agent systems, LLM chaining, and AI application prototyping.
Data Types Supported
JSON Vector Time-Series Key-Value Graph Tabular
Key Capabilities

What DataStax enables for enterprise AI

Vector Search

RAG & Semantic Search

AstraDB's vector database is built for retrieval-augmented generation (RAG) pipelines that make enterprise AI accurate and grounded. Store and search high-dimensional embeddings at millisecond latency — connecting your LLMs to real enterprise data.

  • High-performance vector similarity search
  • Hybrid search (keyword + semantic)
  • Embedding model integrations
NoSQL at Scale

Distributed NoSQL Database

Apache Cassandra's masterless architecture delivers linear scalability and zero single points of failure — trusted for the most demanding workloads in the world. Handle billions of writes and reads per day across globally distributed infrastructure.

  • Linear scale — add nodes, add capacity
  • Multi-region, multi-cloud replication
  • Always-on: 99.999% availability SLA
Real-Time

Real-Time Data Streaming

DataStax integrates Apache Pulsar for high-throughput, low-latency data streaming — ingesting from IoT sensors, SCADA systems, financial transactions, and operational systems in real time, feeding directly into AI pipelines and analytics.

  • Apache Pulsar event streaming
  • IoT & SCADA data ingestion
  • Change data capture (CDC)
AI Development

Langflow — Visual AI Builder

Langflow makes AI application development accessible. Build RAG pipelines, conversational agents, and multi-model workflows visually — then deploy to production. Integrates with watsonx Orchestrate, IBM Granite, OpenAI, Anthropic, and more.

  • Visual drag-and-drop pipeline builder
  • Pre-built AI components & connectors
  • One-click deployment to production
Enterprise

Enterprise Security & Governance

DataStax Enterprise delivers the security, compliance, and operational controls required by regulated industries — role-based access control, encryption at rest and in transit, audit logging, and LDAP/SSO integration, available for on-premises deployment.

  • Role-based access control (RBAC)
  • Encryption at rest & in transit
  • On-premises & air-gapped deployment
Integration

watsonx & Ecosystem Integration

As part of IBM's watsonx portfolio, DataStax integrates natively with watsonx.ai, watsonx Orchestrate, and IBM Cloud Pak for Data — as well as the broader ecosystem including OpenSearch, Red Hat OpenShift, and major cloud platforms.

  • watsonx.ai & watsonx Orchestrate
  • IBM Cloud Pak for Data
  • OpenShift, AWS, Azure, GCP
IBM watsonx Portfolio

DataStax inside watsonx

The acquisition makes DataStax the data foundation layer for IBM's enterprise AI platform — solving the hardest problem in enterprise AI: getting unstructured data into your LLMs reliably, at scale, in real time.

How DataStax fits into the watsonx stack
AI Applications & Agents
watsonx Orchestrate + Langflow
Foundation Models & LLMs
watsonx.ai · IBM Granite · Claude
Vector & NoSQL Data Layer ← DataStax
AstraDB · DSE · Apache Cassandra
Structured Data & Lakehouse
watsonx.data · Db2 · Cloud Pak
Real-Time Streams & Sources
Apache Pulsar · IoT · ERP · APIs
93%
Of all enterprise data is unstructured — largely untapped for AI (IDC, 2024)
100s
Of paying enterprise customers globally using DataStax in production
Open
Source-first — IBM committed to Apache Cassandra, Langflow, Pulsar & OpenSearch communities
WA Industry Use Cases

DataStax in WA's key sectors

Mining & Resources

Real-Time Equipment & IoT Data

Mine sites generate enormous volumes of sensor and SCADA data continuously. DataStax handles high-throughput IoT ingestion via Apache Pulsar, stores time-series and event data in Cassandra, and feeds real-time AI models for predictive maintenance and operational optimisation.

  • SCADA & sensor data at scale
  • Predictive maintenance pipelines
  • Operational analytics in real time
Energy & Utilities

Grid & Demand Intelligence

Energy utilities manage massive real-time data streams — smart meters, grid sensors, weather feeds, and market signals. DataStax provides the always-on, distributed data layer that keeps AI-powered demand forecasting and grid management running without downtime.

  • Smart meter & grid data ingestion
  • AI demand forecasting pipelines
  • Multi-region high availability
Government

Secure, On-Premises AI Data

Government agencies with strict data sovereignty requirements can deploy DataStax Enterprise on-premises or in private cloud — delivering enterprise-grade NoSQL and vector search capabilities without data leaving the agency's controlled environment.

  • On-premises & air-gapped deployment
  • Data sovereignty compliant
  • Secure document & knowledge RAG
Get Started with IBM DataStax

Ready to put your unstructured data to work?

As an IBM Gold Partner, Solution Minds can help you evaluate, architect, and deploy IBM DataStax — and integrate it with your existing watsonx, Databricks, or cloud data platform. Talk to us about a DataStax assessment.

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