To support your business intelligence initiatives and accelerate decision-making, you need a flexible foundation that has been optimized to collect and analyze volumes of data from disparate sources.
IBM data warehouse solutions are available on premises, on cloud or as an integrated appliance. Infused with machine learning and AI for deeper, faster analytics, they also share a common SQL engine for streamlining queries. The IBM data warehouse is also available on the IBM Cloud Pak for Data platform to support hybrid cloud deployments.
Read Forrester Total Economic Impact™ (TEI) of IBM Data Management now
Avoid vendor lock-in with a multicloud approach. Run on IBM Cloud Pak® for Data, a hybrid cloud data platform.
Scale storage and compute independently with elastic pricing for data warehouses on IBM Cloud®. Pay only for the capabilities you need.
Realize the full value of your data - structured, unstructured, geospatial - by operationalizing AI across the enterprise.
A cloud-native system of insight that is 100% compatible with existing IBM® Netezza® and IBM PureData® System for Analytics appliances.
A software-defined, private cloud data warehouse for Docker-container-supported infrastructures. Available on the IBM Cloud Pak for Data platform.
Accelerate innovation and drive business outcomes by turning data into insights.
Move workloads to any public cloud data center easily using the included IBM® support. A containerized database engine orchestrated by Red Hat® OpenShift® provides fast failure detection and recovery.
For the second year in a row, Gartner named IBM a Leader in Gartner Magic Quadrant for 2021 Cloud Database Management Systems based on its Ability to Execute and Completeness of Vision.
A data warehouse is a central repository of information that is not a product but an environment. It is designed to extract insights from analytics and share immense amounts of consolidated data.