What is IBM Hybrid Data Management?

IBM Hybrid Data Management is a family of solutions that helps organizations unlock the value of their data by simplifying how they collect and manage ALL of their data, regardless of type or where it lives, with enterprise-grade performance and agility. Using multiple form factors, you can liberate data into a fully flexible spectrum of data management services, while using the IBM Common SQL Engine (PDF, 150 KB) to achieve a consistent and simplistic experience.

IBM Cloud solutions have long powered data-driven businesses of all sizes and industries and now provide the data foundation required to succeed in an artificial intelligence (AI) and multicloud world. IBM solutions — with options for on-premises, IBM Cloud Private for Data and public cloud deployments — have embedded AI technologies to intelligently improve performance and functionality and enable the development of AI-powered applications. Read more.


Explore IBM Db2 Hybrid Data Management

Database management

IBM Db2 operational database provides the right data foundation with on-premises and cloud deployment options, industry leading data compression, robust performance for mixed workloads, modern data security, and the ability to scale and adjust without redesign.

Data warehouse

IBM data warehouse includes a Common SQL Engine to support a wide range of data structures and types while delivering fast and superior performance with the flexibility of on-premises, cloud and integrated appliance deployments.

Data lake

IBM Data Lake enables agile, data driven decisions by tapping into vast amounts of unstructured data that historically could not be analyzed. In partnership with Hortonworks, IBM combines lower-cost open source technology with enterprise-grade real-time analytics.

Fast data

IBM Fast Data combines lightning fast data ingestion, concurrent analysis of real-time and historical data, with machine learning in an open environment that supports event-driven application development at-scale.

In the Spotlight

A landscape of three-dimensional, multicolored bars representing the integration of data types in a hybrid data management Logos in “Partners” band

Hybrid Data Management Guide

Discover how hybrid data management allows businesses to leverage data of all types and sources, seamlessly integrate on-premises and cloud deployments, enable machine learning, empower increased self-service and more.

IBM Db2 Hybrid Data Management

IBM Db2 Hybrid Data Management is designed to collect and ingest all relevant data with no limit on volume, variety or velocity, and this data is viewed as a unified and accessible asset.


Hybrid Data Management Platform

New, flexible platform to collect, manage and provide business insights to data across on-premises or cloud. Dynamically allocate data resources where you need it, when you need it, with a single subscription.

Db2 family

IBM Db2 includes products for Operational Database, Data Warehouse, Data Lake and Fast Data. Select any type of database or data warehouse, best-of-breed and open source software, and leverage your existing investments.

Integrated Analytics System

High performance, cloud-ready data platform that accelerates development and deployment times for your data scientists, and drives the insights needed to maintain your competitiveness.


Ideal enterprise class database optimized for OLTP and IoT, and forging new frontiers with its unique ability to seamlessly integrate SQL, NoSQL/JSON, time series and spatial data.


IBM and Hortonworks partnership | IBM and Hortonworks have partnered to offer an enterprise-grade Hadoop distribution with data integration and advanced querying tools.

ArcGIS Server extends core Db2 support for spatial-data types, providing a performant, scalable, secure spatial data server for Smarter Planet solutions ranging from business analytics to service management.

IBM and Lightbend joint solutions provide a complete toolchain for Java and Scala developers to easily build and deploy AI and cognitive applications in both on-premises and cloud environments.


The ROI and 'why' of hybrid data management

Learn how Aberdeen and IBM explore the challenges and pressures of building and managing modern data infrastructures, and review the key steps for being a leader in hybrid data management.

Why fast data management is essential for your business future

Discover new business opportunities and insights with fast data management. Learn how Forrester and IBM discuss the business and technology drivers at the core of this next wave of event-driven business applications.

Data migration

Accelerate your journey to Hybrid Cloud with simplified tools and expert services.

Customer success stories

Learn how IBM Db2 helps clients simplify their IT infrastructure, accelerate critical business reporting, gain faster access to data while reducing investment and operating costs.

Learn how a cable TV networks company captures new viewers, predicts ratings and adds value for advertisers in a multi-channel world, using IBM Integrated Analytics System.

Learn how KONE Corp. improved “people flow” in 1.1 million elevators globally with IBM Watson IoT™ and IBM Cloud™

Discover how Nedbank Group saw demand for analytics surge across all divisions, after implementing a lightning-fast data warehousing platform from IBM

With IBM Db2 Warehouse we will be able to reduce the cost of data warehouse storage capacity by up to 25-35 percent.

Paul Morley, Executive, Group Data Services, Nedbank Group

Engage with an expert

Schedule 30-minutes free consultation with IBM thought leaders and

distinguished engineers who have worked with thousands of clients

to build winning data management strategies.