Data management software and solutions

Collect data of all sources and structures to accelerate your journey to AI

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Data management for enterprise data

Collect all of your enterprise data, from structured to unstructured, across all deployments including on premises and multiple cloud vendors to provide a data foundation that supports mission critical applications, fuels advanced analytics and enables real-time operational efficiencies while reducing infrastructure costs.

IBM offers AI-infused hybrid data management solutions that provide the advantages of a modernized information architecture to make data collection and management simpler and smarter with automation containerization built on the open platform of Red Hat® OpenShift®.


Why IBM for database management Simple, centralized and AI-ready, IBM data management solutions and services consolidate, automate and virtualize data, accelerating your journey to AI. Simple, accessible and AI-ready data Improve model quality, decision-making and the effectiveness of AI and ML initiatives with optimized and trusted data shared across your organization. Centralized data visibility and control Drive more accurate data decision-making through data collection and access of structured and unstructured data across on-premises, cloud, and hybrid deployments. Accelerated AI app development Promote optimal AI app development with enhanced data management performance and agility and embedded data science tools.

Use cases

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. Read the blog on simplifying data access
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. Read the blog on extracting insights from unstructured data

Case studies

Data management case study Decreased costs and enhanced performance Owens-Illinois realized such benefits as a seven-figure total cost of ownership savings, faster query performance and reduced server footprint by migrating from Oracle Database to IBM Db2. Watch the Owens-Illinois video (2:53)
Break down data barriers knowis, a banking solutions provider, breaks down their customers' data barriers by deploying IBM Db2 on Cloud, allowing them to serve smaller banking and financial institutions. Watch the knowis video (1:34)

Intelligently automate data and AI - Discover the next generation of IBM Cloud Pak® for Data.

Next steps

Engage an expert - Schedule a one-on-one consultation with experts who have worked with thousands of customers to build winning data, analytics and AI strategies.

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.