What is IBM Hybrid Data Management?

IBM Hybrid Data Management is a complete set of AI-enabled solutions that allow organizations to collect data of any type, source and structure to make it simple and accessible across multiple vendors, deployments and workloads. Solutions include:

  • Support for hybrid multicloud environments with IBM Cloud Pak for Data
  • Database, data warehouse, data lake and fast data workloads
  • Automate data management, including database management, using embedded AI capabilities
  • Open source partnerships with Cloudera, MongoDb and PostgreSQL

With AI integrated into data management solutions, IBM can help modernize your information architecture to fuel successful AI initiatives and development of AI applications across your entire business.

Read the 451 Research report to learn how hybrid data management accelerates the adoption of AI.

Use cases

Unlock data and reduce cost

woman with tablet in hand

Unlock data and reduce cost

Easily access data across vendors, programming languages, locations and structures to rapidly provide insights while reducing cost and development time with AI-powered data management.

Manage unstructured data

woman sitting writing on a notebook

Manage unstructured data

Efficiently manage and govern large quantities of semi-structured and unstructured data with data lakes and open-source ecosystems to empower data scientists and gain valuable business insights.


Learn more about hybrid data management

IBM Db2 for IBM Cloud Pak for Data

Explore Db2 for IBM Cloud Pak for Data in a software simulation showing enhanced monitoring as well as accelerated, automated deployment in a Kubernetes environment.

A leader in data management

Learn why Forrester has named IBM a leader in their most recent report: The Forrester Wave: Data Management for Analytics, Q1 2020. 

Eight ways to modernize your data management

Modernize data management across workloads and deployments to drive optimization, automation and AI.

Drive AI with data management

Hear Forrester and IBM discuss three key benefits of AI-infused data management.

Cloud data management buyer's guide

Choose the right data management solution.

Ebook: Db2 - The AI database

Learn about key features that make IBM Db2 the AI database, such as data virtualization, machine learning SQL optimization, graph capabilities and blockchain analysis.

Simplify big data management

Discover how hybrid data management makes data of all structures and sources simple and accessible.

Lead with data management

See the value realized by industry leaders who embrace data management.

Engage an expert

Schedule a one-on-one consultation with an IBM expert who can help you pick the data management solutions that match your data and AI strategy.