Data warehouse solutions
Scale always-on, high-performance analytics and AI workloads on governed data across your organization
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High-performance data warehouse solutions

To boost your company's decision-making abilities and support your business intelligence and AI initiatives, it is crucial to have a modern, adaptable data foundation. Our data warehouse technologies are specifically designed to enable seamless analytical data management, without the added complexities and security risks of data duplication or movement. Our integrations with can handle all types of data from various sources across hybrid-cloud environments, making it easy for customers to handle even the most complex analytics, BI, and ML/AI use cases.

Our customers also have the choice of running our data warehouses in their cloud of choice, with options for self-managed or fully managed SaaS services. SaaS deployments for IBM Db2 Warehouse are available on IBM Cloud and AWS, and Netezza Performance Server on Azure and AWS (tech preview).


Scale AI workloads, for all your data, anywhere

IBM named a Leader in The Forrester Wave™: Data Management for Analytics, Q1 2023

Read Forrester Total Economic Impact™ (TEI) of IBM Data Management now

Read the most common misconceptions about cloud data warehouses that cause hesitation moving to a hybrid-cloud strategy


Why IBM for data warehousing? Hybrid and multi-cloud

Run analytics workloads on-premises or on your cloud of choice. Avoid vendor lock-in with a multicloud approach.

Always-on analytics

Your business and your data warehouse need to run 24x7×365, cost-effectively. Take full control over how and when you choose to scale analytics workloads with completely decoupled storage and compute.

A modern data foundation

Realize the full value of your data - structured, unstructured, semi-structured – with a modern data foundation built to scale analytics and AI across the enterprise.


Related solutions Netezza Performance Server

The advanced cloud-native data warehouse designed for unified, powerful analytics and insights to support critical business decisions across your organization. Available as SaaS (Azure and AWS) and on-premises.

The industry’s only open data store optimized for all governed data, analytics and AI workloads across the hybrid-cloud.

IBM Integrated Analytics System

A cloud-ready data warehouse appliance designed to support a range of data analyses while cutting setup and administration time and costs.

Case study

Share volumes of data quickly Learn how IBM® Db2® Warehouse on Cloud Pak® for Data gives this healthcare information services provider the flexibility and ability to scale as needed to meet growing customer analytics demands.


Data warehouse resources Five misconceptions about cloud data warehousing

Read the most common misconceptions about cloud data warehouses that cause hesitation moving to a hybrid-cloud strategy.

What is a data lakehouse?

Data lakehouses seek to resolve the core challenges across both data warehouses and data lakes to yield a more ideal data management solution for organizations.

A different approach to cloud data warehousing

We’re taking a different approach to cloud data warehousing with our third generation of IBM Db2 Warehouse.

What is a data warehouse?

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.

Introducing Netezza as a service on AWS

IBM is proud to announce the tech preview availability of IBM Netezza Performance Server as a fully-managed service (NPSaaS) on AWS. Learn how to get started.

Next steps

Set up a no-cost, one-on-one call with IBM to explore data warehouse solutions.

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