Hybrid Data Management

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
Data management automation through 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.

Download the free report

Workloads

Choose your data management workload

Database

High-performance and scalable transactional processing with query optimization.

Data warehouse

Perform analytics with on-premises, cloud and integrated appliance deployment options.

Data lake

Store and query structured, semi-structured and unstructured data.

Fast data

Real-time data ingestion and analytics for more than 250 billion events per day.

Use cases

IBM Cloud Pak for Data

A platform built on Red Hat Openshift to collect, organize, and analyze data for impactful AI. Run Db2 database, Db2 Warehouse and Db2 Event Store in a containerized environment.

IBM Db2

IBM Db2® is a family of database solutions for transactional, analytical and real-time workloads that can be deployed across on-premises and multicloud environments, including IBM Cloud Pak for Data.

IBM Db2 Transactional Database

A relational database management system built for high performance with IBM BLU Acceleration® in-memory columnar technology, and continuous availability with IBM pureScale®.

IBM Db2 on Cloud

A fully managed SQL cloud database offering the advanced features of an on-premises database so you can scale easily on demand, move data fast and monitor storage.

IBM Db2 Warehouse on Cloud

A fully managed, elastic cloud data warehouse with independent scaling of storage and compute, optimized columnar data store, actionable compression and in-memory processing.

IBM Db2 Warehouse

A client-managed data warehouse for on-premises, private clouds and containerized deployments with built-in machine learning (ML), MPP processing, and in-database analytics.

Resources

Learn more about hybrid data management

Db2 for IBM Cloud Pak for Data Product Tour

Explore IBM Db2 for IBM Cloud Pak for Data in a software simulation showing enhanced monitoring as well as accelerated, automated deployment in a Kubernetes environment.

Take the product tour

Eight ways to modernize your data management

Modernize data management across workloads and deployments to drive optimization, automation and AI.

Read the ebook

Make data simple with hybrid data management

Discover how hybrid data management makes data of all structures and sources simple and accessible.

View the infographic (PDF, 688 KB)

Modernize your information architecture with AI

A database powered by AI and built for AI to help create and run competitive, cognitive applications.

Watch the Db2 webinar (link resides outside IBM)

Cloud data management buyer's guide

Learn how to choose the right cloud database for your business, and what questions you need to ask.

Read the guide

Ebook: Db2 – The AI database

Learn about key features such as data virtualization, machine learning SQL optimization, graph and blockchain analysis that make IBM Db2 the AI database.

Read the ebook