Design a data strategy that eliminates data silos, reduces complexity and improves data quality for exceptional customer and employee experiences
Data management challenges limit innovation
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.
Scale analytics and AI, by optimizing data warehouse workloads, at up to half the cost, anywhere.
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.
OEM data-source partnerships
Leverage our OEM data-source partnerships and benefit from well-supported data management platforms.
Accelerate data analysis and AI for actionable solutions that create exceptional data visualization, dashboards and data modeling experiences that drive business value.
Get help with data strategy, consulting, digital transformation on cloud, and data management services to realize virtual enterprise vision.
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.
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.