Data management challenges limit innovation
Fundamental data management challenges silos, complexity and inconsistent data sets limit your ability to use data to make employees and customers day-to-day workflows easier. Quality, actionable data for data scientists and business users requires a flexible data management approach that integrates with your existing technology with the deployment of your choice.
IBM data and AI solutions empower organizations to use enterprise data for analytics, applications, automation and AI-powered products across on-premises, public and private clouds. These solutions help improve resiliency, reliability, scalability and cost-effectiveness without sacrificing data security, data protection and data quality. By helping strengthen your approach to enterprise data management, you can use these solutions to help make data simple, trustworthy, secure and unlock value from your data wherever it resides.
As you design your data strategy, explore IBM’s comprehensive portfolio of data and AI technologies such as a data lakehouse and data fabric that serve as a foundation to a modern data stack.
Data management solutions
Store, manage, secure and unlock the hidden value of your data and databases with purpose-built technologies for cloud, hybrid and on-premises deployments. Design a modern data foundation to support all data, analytics and AI use cases.
Seamlessly integrate with your existing systems to automate and accelerate responsible AI workflows to help save time, reduce costs and comply with regulations.
Create and manage smart streaming data pipelines through an intuitive graphical interface, facilitating seamless data integration across hybrid and multicloud environments.
Built for the world's mission critical workloads. Power your applications and real-time analytics at scale with the highly performant, resilient, and cloud-native database engine.
Leverage our OEM data-source partnerships and benefit from well-supported data management platforms
IBM and Cloudera have partnered to create data and AI services using open source ecosystems, all designed to achieve faster data and analytics at scale.
MongoDB Enterprise Advanced with IBM provides enterprise tooling so you can build apps faster and distribute data to where it needs to be, with the freedom to run anywhere.
Work with IBM to license, implement and get support for EDB Postgres and take advantage of this integrated, open-source-based SQL relational database solution built for your enterprise-scale data needs.
DataStax Enterprise with IBM provides you with a hybrid cloud solution that boosts user productivity by simplifying enterprise-wide data integration into open-source Apache Cassandra-based technology.
IBM has partnered with SingleStore to provide a single source of support and governance for SingleStoreDB. Simplify your data architecture while delivering ultra-fast speed and elastic scalability.
Forrester Consulting conducted an IBM-commissioned Total Economic Impact™ (TEI) study to examine the potential return on investment (ROI) organizations may realize.
Learn why IBM is named a Leader in The Forrester Wave™: Data Management for Analytics, Q1 2023
In this video, Luv Aggarwal explains that analogy, and how a data lakehouse delivers on the benefits of data lakes and warehouses, and more!
Tackling AI’s data challenges with IBM databases on AWS.
Employ high-performance and scalable transactional data processing with query optimization for various data types.
Perform analytics with on-premises, cloud -based and integrated application deployment options.
Store and query structured, semi-structured and unstructured data with this data storage solution.