watsonx.data
Scale AI workloads, for all your data, anywhere. See what’s coming.
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An open, hybrid and governed data store 
watsonx.data Built on a open lakehouse architecture

Watsonx.data makes it possible for enterprises to scale analytics and AI with a fit-for-purpose data store, built on an open lakehouse architecture, supported by querying, governance and open data formats to access and share data. With watsonx.data, you can connect to data in minutes, quickly get trusted insights and reduce your data warehouse costs. General availability of watsonx.data is expected in July.

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Scale AI workloads for all your data, anywhere Access all your data across hybrid-cloud

Access all data through a single point of entry with a shared metadata layer across clouds and on-premises environments.

 Get started in minutes 

Connect to storage and analytics environments in minutes and enhance trust in data with built-in governance, security, and automation.

 Reduce the cost of your data warehouse by up to 50%¹ through workload optimization

Optimize costly data warehouse workloads across multiple query engines and storage tiers, pairing the right workload with the right engine.

The best of IBM combined with the best of open source

Easy-to-use integrated console Connect to your existing analytics data across hybrid-cloud and deploy query engines in minutes. Explore and transform data using common SQL.
Fit-for-purpose query engines Drive analytics costs down with cost-efficient compute and storage and fit-for-purpose analytics engines — Presto, Spark, Db2, Netezza — that dynamically scale up and down.
Keep your options open Store vast amounts of data in vendor-agnostic open formats, such as Parquet, Avro, and Apache ORC, while leveraging Apache Iceberg table format and shared metadata to share a single copy of data across multiple query engines.
Insights powered by generative AI Discover, augment, refine and visualize watsonx.data and metadata through the power of watsonx.ai models.

Ways to put your data to work

AI and machine learning at scale Build, train, tune, deploy and monitor trusted AI models for mission-critical workloads with data in the lakehouse and ensure compliance with lineage and reproducibility of data used for AI.
Real-time analytics and business intelligence Connect existing data with new data in minutes and unlock new insights without the cost and complexity of duplicating and moving data. Integrate with IBM Cognos and other third-party business intelligence and dashboarding tools to visualize data and insights.
Streamlined data engineering Reduce data pipelines, simplify data transformation and enrich data for consumption using SQL, Python or an AI-infused conversational interface.
Responsible data sharing Support self-service access for more users to more data while enabling security and compliance with centralized governance and local automated policy enforcement through integration with IBM Knowledge Catalog.
Resources How to resolve today’s data challenges with a lakehouse architecture IBM named a leader in the Forrester Wave: Data Management for Analytics
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Footnotes

1When comparing published 2023 list prices normalized for VPC hours of watsonx.data to several major cloud data warehouse vendors. Savings may vary depending on configurations, workloads and vendor.