watsonx.dataIBM watsonx.data is an open, hybrid, governed, enterprise-ready data store built on an open data lakehouse architecture. It enables hybrid cloud analytics workloads such as data engineering, data science and business intelligence, through open-source components with integrated IBM innovation, built-in governance, and automation.
Users access their data through a single point of entry and run multiple fit-for-purpose query engines such as Presto and Spark across IT environments. Through workload optimization an organization can reduce data warehouse costs by up to 50 percent. Db2 Warehouse and Netezza on AWS natively integrate with watsonx.data with shared metadata and support for open formats such as Parquet and Iceberg to share and combine data for new insights without ETL.
Product highlights
Build gen AI applications with trusted data
Collect, curate and prepare trusted and governed data for your gen AI applications with Spark, the Milvus vector database and IBM® watsonx.ai™ integration.
Unify your data for repeatable data products
Manage, govern and share data securely throughout its lifecycle, from raw data ingestion to business-ready insights.
Unlock mainframe data for AI and analytics
Enable better decision-making with the power of transactional mainframe data.
Access across the hybrid-cloud
Access all data through a single point of entry with a shared metadata layer across clouds and on-premises environments.
Reduce cost
Reduce the cost of your data warehouse by up to 50% through workload optimization: Optimize costly data warehouse workloads across multiple query engines and storage tiers, pairing the right workload with the right engine.
Get started fast
Connect to storage and analytics environments in minutes and enhance trust in data with built-in governance, security, and automation.
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