Why IBM for data warehouse offerings?

IBM provides multiple data warehouse offerings, including on premises, on cloud and as an integrated appliance. All three platforms offer a common SQL engine to streamline queries and flexible licensing for your analytical workloads. This high-performance and highly flexible data analytics foundation enables timely insights to support data-driven decision making.


Icon representing the flexible licensing options for IBM’s data warehousing offerings

Flexible licensing

With multiple licensing and configuration options available, IBM has the flexibility to meet your data warehousing needs as they evolve over time. It offers the ability to easily and cost-effectively store and analyze your data where it is best housed.

Icon representing the easy scalability of IBM’s data warehousing offerings

Adaptable scaling

Elastic pricing for data warehousing on IBM Cloud™ enables you to independently scale storage or compute capacity easily and quickly. By choosing a scalable cloud solution, you pay only for the capabilities you need at any given time.

Icon representing the capability of IBM’s data warehousing offerings to provide a foundation for data insights

A foundation for insight

Build a strong foundation for data insights with a data warehouse solution that can handle structured and unstructured data, run apps and queries in languages you already know and integrate existing systems with new capabilities.

Featured product

IBM Integrated Analytics System

IBM Integrated Analytics System drives the insights needed to maintain your competitiveness by matching accelerated development and deployment times for your data scientists with a high-performance, optimized and cloud-ready data platform.


IBM Integrated Analytics System

A cloud-ready data platform combining optimized hardware and software for high performance. IBM Integrated Analytics System supports data science and machine learning at enterprise scale, enabling organizations to accelerate analytic development and reduce deployment times.

IBM Db2 Warehouse on Cloud (formerly IBM dashDB® for Analytics)

A fully managed, flexible cloud data warehouse with in-memory IBM BLU Acceleration® and built-in Oracle and IBM Netezza compatibility designed to help you get faster insights. IBM Db2 Warehouse on Cloud is managed, monitored, encrypted and backed up by IBM, so you can focus on data analysis instead of administration.

IBM Db2 Warehouse (formerly dashDB Local)

A software-defined, private cloud data warehouse for Docker-container-supported infrastructures. It combines on-premises control with automated scaling and cross-platform compatibility. It can be deployed on the IBM Cloud Private platform or on any virtual private cloud.

Industry Models

A set of pre-designed, pre-built business and technical data models tailored for specific industries to jump-start an organization down the path toward a comprehensive analytics environment. Industry Models help deploy analytic solutions faster by combining deep expertise and industry best practices in a ready-to-use “blueprint” for business and IT users.

Related solutions

IBM Lift

A command-line tool to help you quickly, more securely and reliably migrate up to 25 TB of data via over-the-wire 256-bit encrypted connection. Migrate from your private, on-premises data source to an IBM cloud data property with zero downtime at no charge.


A data virtualization tool that helps you access, query and summarize data from nearly any platform, including databases, data warehouses, NoSQL databases, and more. Concurrently exploit Apache Hive, HBase and Spark using a single database connection — or even a single SQL query.

IBM Data Science Experience

A configured, collaborative, cloud-based analytic environment that includes IBM value-adds, such as managed Spark. Use a single workspace for your tools, but collaborate and share projects as needed. Analyze data using RStudio®, Jupyter and Python.


The Hybrid Data Warehouse: Fluid, Flexible, and Formidable

Aberdeen Group explores the hybrid data warehouse: a data architecture that uses cutting-edge technologies to address the weaknesses of existing on-premises systems. See why hybrid can lead to almost two times the year-over-year increase in revenue compared to traditional data warehouses.

TDWI Checklist Report: Data Warehousing in the Cloud

TDWI offers a strategic approach to choosing the right data warehouse solution for your organization, outlining seven best practices for assessing your analytic needs, determining which solution offers the best value and achieving analytic insights.

Data Warehouse Appliances and the New World Order of Analytics

Analyst Dr. Claudia Imhoff explains why a data warehouse appliance may be a good — or bad — fit for your organization. From total cost to future growth potential, analytic flexibility to data management, Dr. Imhoff gives an in-depth look at the data warehouse appliance.

Webinar: New flexibility and performance with IBM Db2 Warehouse on Cloud

IBM Db2 Warehouse on Cloud is a fully managed, flexible cloud data warehouse with in-memory acceleration for high performance at massive scale. Watch this webinar to learn how performance combined with flexibility can help you deploy analytics throughout your organization.

Client case studies

Valor Holdings

Learn how Valor Holdings Co., Ltd., achieves dramatically improved performance by moving a database of over 10 billion customer transactions into the cloud. The company also gained a robust and well-supported data platform with IBM Db2 Warehouse on Cloud.

RSG Media sees the big picture

RSG Media Systems, Inc., uses IBM solutions to help a TV provider understand their audience’s preferences in hours, instead of months. With more responsive programming, this provider can grow viewership and ad revenue.

Faster reports and easier compliance

Dutch mortgage lender Obvion Hypotheken implemented an IBM data warehouse platform to replace manual, spreadsheet-based processes. They now get analytic reports in half the time, helping satisfy regulators, while offering more personalized services to their clients.



This drag-and-drop environment for developers enables Spark-based analytics and machine learning on large data sets, such as those contained in IBM Db2. Sparkflows helps you analyze and present data quickly and includes tools for rich visualizations of big data.

Aginity Workbench

IBM Db2, when combined with Aginity Workbench, provides a platform that’s easier to use, delivering both analytics and warehousing-as-a-service. This solution uses the best of IBM technologies: in-memory computing with BLU acceleration, the power and simplicity of embedded analytics, and the powerful infrastructure of IBM Cloud.

Engage with an expert

Set up a no-cost, one-on-one call with an experienced IBM expert. Get answers on why, when and how to use a data warehouse and the best platform for your needs.