A database management system helps a business perform manipulation and control of the data in the database or the management of the database structure itself. Database management systems (DBMSs) are categorized according to their data structures or types. To use the volume and variety of data in your enterprise for competitive advantage, you need a modern DBMS that you can deploy anywhere.
Database software and solutions from IBM and IBM Business Partners help you integrate data from different sources across on-premises and cloud environments. They support multiple programming languages and frameworks to fit your use cases and feature natural language querying and machine learning for AI-enabled self-service.
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Five misconceptions about cloud data warehouses
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Organizations use an ecosystem of databases that suit a variety of use cases today. With IBM, you can put your database management to work. Learn about the IBM® Db2® family, IBM® Netezza® and IBM® Informix®. Explore IBM partner databases that are based on open source and more.
IBM Cloud Pak® for Data combines a proven, enterprise-ready data management system with an integrated data and AI platform. Speed insights with machine learning embedded into query processing. Enhance agility by running databases on any cloud vendor.
Leverage the next generation of the Netezza data warehouse and analytics platform, available both on premises and on the cloud.
A fully managed high-performance SQL cloud database, running the Db2 database engine, featuring robust security, redundancy, high availability, disaster recovery and flexible scalability
An embeddable database designed to seamlessly integrate SQL, NoSQL/JSON, time series and spatial data
An on-premises database that runs on IBM z/OS®, delivering mainframe security, scalability, availability and power
Postgresql and NoSQL database choices from MongoDB and EDB that support scalability, a more flexible data model and more data types
A suite of tools for database administrators to support database design, development, testing, performance monitoring, migration and administration
Use the relational database type for traditional applications such as enterprise resource planning, customer relationship management and e-commerce, along with ledger and audit forensics.
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Use the data warehouse database type for analytical use cases such as data warehouses, data lakes and business intelligence.
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Use the document database type for content management, catalogs and user profiles, in addition to web and mobile apps.
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Use the key value database type for distributed systems consensus.
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Use the wide columnar database type for high-scale industrial purposes, including logistics, transaction logging, equipment maintenance, fleet management and route optimization.
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Use the in-memory database type for caching, session management, leaderboard, counting and queuing.
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Use the time series database type for IoT apps, DevOps, monitoring and analytics on clickstream data.
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Uses the full-text search database type for application logging and product catalog capabilities.
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Use the confidential data database type for security and regulatory compliance.
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Read the most common misconceptions that cause companies to hesitate to move to a hybrid-cloud strategy.
Explore how a unified platform for data management, analytics and AI can accelerate business agility.
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See why IBM is listed as a Leader in 2021 Gartner® Magic Quadrant™ Cloud Database Management Systems.
Learn what a relational database is, how it works and how it compares to other database options.
Read the latest news, product updates, thoughts and innovations related to cloud databases.