Hybrid data management
Collect data of all sources and structures to accelerate your journey to AI
Overview
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
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
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.
Solutions
Build your hybrid data management approach
Products
Owens-Illinois
Discover how migrating from Oracle Database to IBM Db2 transformed the business of global manufacturer Owens-Illinois. Benefits such as seven-figure total cost of ownership savings, faster query performance and reduced server footprint enable Owens-Illinois to shift their budget and mindset to be more strategically focused.
Capitalogix
Capitalogix is a next-generation hedge fund that relies on data science more than traditional traders to outpace the market. Using the IBM Integrated Analytics System, its embedded data science tools and cloud connectivity, Capitalogix is turning real-time data into real-time insights with machine learning and AI.
Vektis
Learn how Vektis, a leading healthcare information services provider, is able to improve the quality of patient care while lowering costs. With Db2 Warehouse on Cloud at the heart of its business, Vektis can securely make sensitive medical data simple and accessible across multiple clients.
Knowis
Knowis grew its client base and expanded into new markets for its banking and credit services platform by offering a fully managed cloud deployment option with IBM Db2 on Cloud. Benefits included no setup costs or maintenance fees — with all backups and restores — as well as updates handled by IBM.
Resources
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.
Choose the right data management solution
Learn how to choose the right cloud database for your business, and what questions you need to ask.
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.