IBM watsonx.data
The hybrid, open data lakehouse to power AI and analytics with all your data, anywhere.
ExploreProduct Description
Overview
IBM watsonx.data is the hybrid, open data lakehouse to power AI and analytics with all your data, anywhere it resides. Access and share a single copy of data across your organization, breaking down data siloes and reducing data duplication. Optimize AI and analytics workloads for superior price-performance with multiple, fit-for-purpose query engines. Manage and prepare your data for AI and analytics at scale with built-in unified governance. Built with open standards for interoperability with your existing data estate - without needing to migrate or re-catalog. Seamlessly deployable across cloud and on-premises environments.
Watsonx.data will allow users to 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 by augmenting with this solution. It also offers built-in governance, automation and integrations with an organization's existing databases and tools to simplify setup and user experience.
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. Watsonx.data allows customers to augment data warehouses such as Db2 Warehouse and Netezza and optimize workloads for performance and cost.
Highlights
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% through workload optimization: Optimize costly data warehouse workloads across multiple query engines and storage tiers, pairing the right workload with the right engine.