Power your journey to AI
The IBM DataStage® family of products offers industry-leading data integration to provide real-time access to trusted data across data lakes and multicloud and hybrid cloud environments for AI. Real-time analytics is now easier than ever, with a cloud native architecture built on containers and microservices and a best-of-breed parallel engine. It can be deployed on hyperconverged systems such as IBM Cloud Pak® for Data, as a managed serviced on IBM Cloud®, or on premises.
IBM DataStage on IBM Cloud Pak for Data allows you to simplify operations by automating and accelerating administration tasks to reduce total cost of ownership (TCO) and meet business service level agreements (SLAs). Avoid vendor lock-in by deploying on any cloud or multicloud environment, and leverage industry-leading security, reliability and scalability from Red Hat® OpenShift®.
Accelerate DataOps and AI innovation through automated integration templates and seamless out-of-the-box integration with governance, BI, data virtualization and data science services with IBM DataStage on IBM Cloud Pak for Data.
Read the DataStage on IBM Cloud Pak for Data solution brief (PDF, 232 KB)
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Upcoming events
IBM DataStage webinar series
Find out how modern capabilities, built on containers in IBM DataStage, can help reduce IT costs while gaining real-time customer insights.
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Tech Talk: Innovations in IBM Data Integration and DataStage
Learn about new capabilities in IBM DataStage that can run on containers and OpenShift on a cloud native architecture.
Benefits
Reduce workload execution time
Run your workloads faster and more efficiently with built-in workload balancing and parallel engine to handle high volumes of data on any cloud.
Meet mission-critical SLAs
Automatic failure detection and resolution automates and acclerates administration tasks, letting users focus on higher value tasks.
Accelerate AI initiatives
Reduce the time it takes to deliver AI initiatives and speed up time to innovate by making high-quality data available in real time.
Reduce your TCO
Improve operational effiencies with container-based deployment and automating CI/CD pipelines for jobs from development to test to production.
Modernize your data warehouses
Remove network bottlenecks and optimize load times with co-located IBM Netezza® or IBM Db2® Warehouse on IBM Cloud Pak for Data System.
Secure your data
Help avoid data security breaches and reach the right customers at the right time through pervasive data quality and security.
Key features
Design once, run anywhere with built-in workload balancing, parallelism and dynamic scalability
Separate the design from the runtime to run remote jobs where your data resides. A parallel engine optimizes extract, transfer and load (ETL) performance, and automatic load balancing maximizes throughput while scaling with your data volumes.
Automated delivery pipelines to release jobs to production
Container-based integration components along with git-based source control tooling allow for automation of CI/CD pipelines for jobs from dev to test to production.
User-friendly design with infused ML capabilities and rich set of connectors and transformations
IBM DataStage Flow Designer, with infused machine learning capabilities, built-in search and prebuilt connectors and transformations, allows you to quickly create and run DataStage jobs and connect with governance.
In-flight data quality and data security for trusted data delivery
Automatically resolve quality issues using IBM InfoSphere® QualityStage® when data is ingested by target environments such as data lakes. Provide metadata support for policy-driven access to sensitive data.
Seamless integration with Netezza, Db2 and other warehouses
Pre-built connectors allow you to quickly connect and move data between cloud data sources and IBM data warehouses on IBM Cloud Pak for Data System.
Job templates to auto-generate jobs
Quickly create reusable job templates to auto-generate jobs and use custom rules to enforce patterns.
What's new
Data Integration: The vital baking ingredient in your AI strategy
Explore why data integration is critical for your AI strategy to deliver real-time access to large volumes of data for AI.
Feed your data lake with change data capture for real-time integration
Learn how to perform real-time integration and analytics using the change data capture capability within IBM DataStage.
IBM InfoSphere DataStage takes data integration to any cloud
The IBM Institute for Business Value found that 85% of companies manage a multicloud environment.
Expert resources to help you succeed
Other data integration products
IBM Cloud Pak for Data
Transform your business with an open, extensible data and AI platform that runs on any cloud.
IBM InfoSphere Information Server Enterprise Edition
Get end-to-end information-integration capabilities to help you understand, govern, create, maintain, transform and deliver quality data.
IBM InfoSphere Information Server for Data Integration
Extract and transform data in any style and load the data into any system.