Modernize your existing capabilities: All data, anywhere with IBM Db2 for IBM Cloud Pak for Data.
Overview
Deliver any data, anywhere
To support fast insights, you need a flexible data management foundation powered by modern technologies and agile enough to deliver data anywhere it’s needed.
IBM® Db2® Database on IBM Cloud Pak® for Data combines a proven, AI-infused, enterprise-ready data management system with an integrated data and AI platform built on the security-rich, scalable Red Hat® OpenShift® foundation. Derive insights with machine learning embedded into query processing. Cut costs with the multimodal capability that eliminates the need for data replication and migration. And enhance agility by running Db2 on any cloud vendor.
Run enterprise-scale database workloads using Db2 on IBM Cloud Pak for Data (03:42)
Use case
Modernize data management
Db2 for IBM Cloud Pak for Data enhances your data management with a containerized version of Db2, helping you expedite insights from proliferating data while managing costs and resources.
Accelerate data exploration
Data virtualization expands access to and visibility of all enterprise data.
Reduce operational costs
Containerized deployments feature automated administration.
Gain flexibility
Your choice of deployment model
Db2 Database benefits
Enterprise ready
Developer ready
Cost effective
Resilient and consumable
Feature highlights
IBM Db2 Database details
Industry-leading performance
Potential for 30% improvement in transactional response time⁶ with fast data retrieval and queries plus disk space compression
Advanced protection
Advanced authorization, encryption at rest and in transit, and comprehensive security controls for managing GDPR compliance
Continuous availability
Auto resynchronization and recovery plus clustering with IBM pureScale® to keep business running 24x7
Automated administration and tuning
Automatic setup, optimization, diagnostics and management of the database environment to save DBA time and cut maintenance costs
Multiple data types and languages
Flexible environment, integrates with multiple platforms plus supports NoSQL, pureXML, Graph and JSON; Java, .Net, Ruby, Python, Perl and more for building robust apps
Scaling
Elastic scaling up to 128 machines in multicloud and hybrid environments to reduce storage costs; data federation eliminates data silos
Product images
Database resource usage
Database resource usage
Get resource usage information for running or queued queries.
Database throughput
Database throughput
Check the rate that data changes are retrieved, sent and applied on the target system.
Scalability
Scalability
Monitor on-demand scalability in Db2 on Cloud to manage data needs.
Data load
Data load
Get quick data transfer to Db2 on Cloud from cloud-based storage or your desktop.
Move SAP workloads from Oracle databases to IBM Db2 and save up to 80%⁷
What’s new with Db2
IBM named a Leader
Gartner has released the 2020 Magic Quadrant for Cloud Database Management Systems.
Db2 on IBM Cloud Pak for Data
IBM leaders Daniel Hernandez and Ayal Steinberg explore how the right data management foundation can accelerate AI adoption.
Related products
IBM Db2® 12 for z/OS
An enterprise database for mission-critical data with integration for analytics, mobile and cloud
IBM Db2® Warehouse
A software-defined, private cloud data warehouse for Docker-container-supported infrastructures
Try before you buy
Get started with a Db2 Database trial at no cost.
Footnotes
¹, ⁶ Cost/Benefit Case for IBM Db2 11.5 Compared to Oracle Database 19c for OLTP Deployments. Quark + Lepton. 14 April 2020.
² New Technology: The Projected Total Economic Impact™ of IBM Cloud Pak for Data, A Forrester study commissioned by IBM. February 2020.
³ “Neo4j Enterprise Commercial Prices” blog. John Mark. 10 January 2018. (link resides outside IBM)
⁴ Delivering Business Value through Transitioning from Management VMs to Orchestrating Containers. An Ovum report commissioned by IBM. February 2019.
⁵ The Business Value of Red Hat Open Shift (PDF, 322 KB) (link resides outside IBM). An IDC white paper sponsored by Red Hat. October 2017.
⁷ Savings estimate is calculated by assuming a 5 percent annual increase and up to 80% savings in support costs. Actual savings may vary.