IBM

Watsonx.data by IBM is a powerful AI tool designed to help enterprises scale their analytics and AI capabilities. It is a fit-for-purpose data store optimized for governed data and AI workloads. With Watsonx.data, users can quickly connect to data sources, gain trusted insights, and lower data warehouse costs. The tool features an open, hybrid, and governed data store that allows users to access and share data. It includes a shared metadata layer for accessing all data through a single point of entry, along with built-in governance, security, and automation to enhance trust in data. Watsonx.data enables users to reduce data warehouse costs by up to 50% by optimizing workloads across multiple query engines and storage tiers. It supports various query engines, such as Presto, Spark, Db2, and Netezza, which dynamically scale to drive down analytics costs.

Users can store vast amounts of data in vendor-agnostic open formats and share a single copy of data across multiple query engines using Apache Iceberg table format and shared metadata. The tool also includes semantic automation to discover, refine, and visualize data and metadata through the power of AI models. Watsonx.data allows enterprises to build, train, deploy, and monitor trusted AI models for mission-critical workloads with data in the lakehouse, ensuring compliance with lineage and reproducibility of data used for AI. It helps streamline data engineering, simplify data transformation, and enrich data for consumption using SQL, Python, or an AI-infused conversational interface. Additionally, Watsonx.data enables self-service access for more users to more data while maintaining security and compliance through centralized governance and automated policy enforcement.