Data Warehouse Solutions

Overview

High-performance data warehouse solutions

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: IBM named a Leader in 2021 Gartner® Magic Quadrant™ Cloud Database Management Systems

Benefits

Why IBM for data warehousing?

Hybrid multicloud

Avoid vendor lock-in with a multicloud approach. Run on IBM Cloud Pak® for Data, a hybrid cloud data platform.

Adaptable scaling

Scale storage and compute independently with elastic pricing for data warehouses on IBM Cloud®. Pay only for the capabilities you need.

A foundation for insight

Realize the full value of your data - structured, unstructured, geospatial - by operationalizing AI across the enterprise.

Solutions

Four people in an open office working on desktop PCs

IBM Db2 Warehouse on Cloud

A fully managed, elastic cloud data warehouse with built-in Oracle and Netezza compatibility and automation of daily tasks. Deployed on IBM Cloud and Amazon Web Services (AWS).

Related solutions

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Netezza Performance Server

A cloud-native system of insight that is 100% compatible with existing IBM® Netezza® and IBM PureData® System for Analytics appliances.

Worker in a warehouse viewing a tablet PC

IBM Db2 Warehouse

A software-defined, private cloud data warehouse for Docker-container-supported infrastructures. Available on the IBM Cloud Pak for Data platform.

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.

Resources

Data warehouse resources

Choosing the right data warehouse

Accelerate innovation and drive business outcomes by turning data into insights.

Get IBM Netezza data warehouse on the cloud

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.

IBM named a leader in Cloud DBMS

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.

Building an advanced data warehouse

IBM and Sirius experts discuss how a modern data and AI platform unifies company data for better insights.

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.

Cloud data lake vs data warehouse vs data mart

There are three distinct types of cloud storage repositories to choose from depending on your budget, frequency of access and volume of data needed for storage, explore which suits your use case.

Next steps

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

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