Run AI, analytics, search, and operational workloads with fit-for-purpose engines including Presto, Spark, OpenSearch, and Cassandra. Access data across open formats with fewer copies and built-in governance.
IBM watsonx.data
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Overview
One Platform. Multiple Engines. More Choice.
IBM watsonx.data is an open, hybrid data lakehouse that lets you run AI and analytics workloads on the engines best suited to your needs.
Query and process data with Presto and Spark, power search and AI retrieval with OpenSearch, and support scalable operational applications with Apache Cassandra. Use open data formats and zero-copy access to minimize unnecessary data movement, while built-in governance helps keep data secure and controlled.
Deploy across cloud and hybrid environments, scale resources to your workloads, and choose the pricing model that works for your business.
Unlock insights into IBM's watsonx.governance & learn why we were named a Leader
Features
Designed to deliver trustworthy, AI-ready data at scale
Access, query and govern data across cloud, multicloud, SaaS, client-managed VPC and on-premises environments. Deploy as SaaS for speed, self-managed software for control, or BYOC to balance managed operations with your security, sovereignty and compliance requirements.
With watsonx.data, teams can bring compute and context to distributed data—reducing unnecessary movement, duplication and replatforming while supporting regulatory, latency and operational needs.
Optimize AI, BI, analytical, and operational workloads with a multi-engine architecture built on open technologies. Use fit-for-purpose engines to improve performance, avoid overprovisioning and keep costs predictable as data and AI usage scale.
- Presto: Distributed SQL engine for interactive BI reporting and analytics, with high-performance query processing and federation. Check out our GPU-accelerated Presto Technical Preview!
- Spark: Unified analytics engine for distributed data processing, accelerating data engineering, large scale model training, and advanced AI/ML pipeline execution
- OpenSearch: Unified vector + keyword search for accurate, context-aware retrieval for GenAI and search applications
- Cassandra: Cassandra-based distributed noSQL engine for fast read/write and linear scaling for fast, responsible GenAI and web/mobile applications.
Apply consistent governance, access controls, policies, lineage and data quality signals across distributed data and workloads. Watsonx.data helps ensure AI systems and analytics users access the right data, under the right policies, at the moment it is used.
Governance is built in—not bolted on—so teams can scale AI with greater confidence, transparency and control.
Build on an open data foundation with open-source engines, open formats and open standards. Watsonx.data helps teams maximize existing investments, avoid redundant copies, and interoperate with the tools, clouds and platforms already in their data estate.
Use open standards, zero-copy data access and open ecosystem integrations to support new AI and analytics workloads without locking data into a single vendor architecture or forcing migration.
Find the right engine for your workload
See how watsonx.data combines multiple engines, open data formats, and built-in governance to optimize analytics, AI, search, and operational workloads—without unnecessary data movement or infrastructure complexity.
Use cases
Unlock value from your data
Use the OpenRAG on watsonx.data capability to ground AI agents and applications in governed enterprise knowledge. Combine document processing, hybrid search, agentic retrieval and orchestration to move beyond rigid, vector-only RAG pipelines and deliver more context-aware AI outcomes in minutes.
Connect and enrich real-time operational data to power low-latency applications, AI, and analytics using current business context—not stale snapshots. Enable AI applications to deliver reliable and explainable results.
Run each workload on the engine best suited to its needs. Watsonx.data supports AI, BI, analytics, and operational workloads with a fit-for-purpose, multi-engine architecture—helping teams improve performance, reduce duplication and better control cost as usage grows.
Case studies
Real clients, real results
Turning live match data into richer fan experiences
Wimbledon’s Match Chat handled millions of fan interactions during The Championships 2025, using IBM watsonx to turn live match data and historical performance information into instant answers. This enabled fans to ask questions in natural language and explore match statistics, helping them understand the action and stay engaged throughout the tournament.
Resources
Insights and supporting materials
Explore videos, client stories, product documentation, analyst reports and more that helps Data Leaders maximize their data for reliable AI outputs.
Pricing
Find the right plan for you
Explore flexible pricing options designed to scale with your AI and analytics needs.
Footnotes
1. Millions Lost In 2023 Due To Poor Data Quality, Potential For Billions To Be Lost With AI Without Intervention, Forrester, 31 July 2024.