WatsonX.data by IBM

Watsonx.data is a fit-for-purpose tool that helps enterprises scale their analytics and AI capabilities. It is optimized for all data, analytics and AI workloads, featuring an open, hybrid and governed data store which allows access to data sources with built-in governance, security and automation to increase trust in the data. Watsonx.data supports a range of query engines like Presto, Spark, Db2 and Netezza which dynamically scale up or down to reduce costs. The tool enables users to store vast amounts of data in vendor-agnostic open formats such as Parquet, Avro or Apache ORC and share one copy of the same across multiple query engines using Apache Iceberg table format and shared metadata.

Watsonx.data also features semantic automation to discover, augment, refine or visualize watsonx.data with the help of AI models while streamlining data engineering processes by reducing pipelines and simplifying transformations with SQL, Python or AI-infused conversational interface capabilities. It is designed with self-service access in mind enabling more users access more data while enforcing security requirements with centralized governance policies enabled through automated enforcement. Last but not least Watsonx.data reduces warehouse costs by up to 50% optimizing costly workloads across multiple query engines and storage tiers thus empowering enterprises to build trusted AI models for mission critical tasks ensuring compliance through lineage tracking and reproducibility of the used data within the lakehouse framework.