WatsonX.data by IBM
Scaled analytics and data management for enterprises.
About WatsonX.data by IBM
Introducing Watsonx.data by IBM - the ultimate fit-for-purpose data store tailored for governed data and AI workloads. This revolutionary tool is crafted to empower enterprises in expanding their analytics and AI capabilities effortlessly. With Watsonx.data, users unlock the ability to swiftly connect to diverse data sources, uncover trusted insights, and reduce data warehouse expenses. This tool is meticulously optimized for all data, analytics, and AI workloads, boasting an open, hybrid, and governed data store that facilitates seamless data access and sharing. Watsonx.data features a shared metadata layer for unified data access, along with built-in governance, security, and automation to fortify trust in data integrity. By leveraging this tool, users can slash data warehouse costs by up to 50%, optimizing resource-intensive workloads across various query engines and storage tiers. Delve into a plethora of fit-for-purpose query engines supported by Watsonx.data, including Presto, Spark, Db2, and Netezza, each dynamically scaling to drive down analytics expenses. Embrace vendor-agnostic open formats like Parquet, Avro, and Apache ORC to store vast data volumes efficiently, all while leveraging Apache Iceberg table format for shared metadata and data accessibility. Watsonx.data is equipped with semantic automation capabilities, enabling users to seamlessly explore, enhance, and visualize data and metadata through the power of Watsonx.ai models. Enterprises can now effortlessly build, train, deploy, and monitor trusted AI models for critical tasks using data housed in the lakehouse, ensuring compliance with data lineage and reproducibility. Streamline data engineering processes, simplify data pipelines, and enrich data for consumption with Watsonx.data's support for SQL, Python, or an AI-infused conversational interface. By enabling self-service access to a broader user base, Watsonx.data ensures data security and compliance through centralized governance and automated policy enforcement at a local level.