Modernize your existing capabilities: AI-powered data delivery, anywhere.

Modernize your existing capabilities: AI-powered data delivery, anywhere. Upgrade to IBM DataStage for IBM Cloud Pak for Data

Power your journey to AI

IBM® DataStage® products offer industry-leading real-time data integration for 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. DataStage solutions can be deployed on hyperconverged systems such as IBM Cloud Pak® for Data, as a managed service 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)

Learn how capabilities built on containers can reduce costs and provide customer insights.

Learn how capabilities built on containers can reduce costs and provide customer insights. Watch the IBM DataStage webinar series

What's new

top level of the Gartner Magic Quadrant showing dots

2020 Gartner Magic Quadrant for Data Integration Tools

See why IBM has been a leader in the Magic Quadrant for Data Integration for over a decade.

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Multicloud data integration that fuels AI

Learn the challenges and opportunities for businesses looking to modernize their data integration architecture and deploy on any cloud.

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Integrating and governing cloud data

Join this TDWI webinar to learn five steps in reducing costs, increasing scale, and adding flexibility.


Reduce workload execution time

Run your workloads faster and more efficiently with built-in workload balancing and a parallel engine to handle high volumes of data on any cloud.

Meet mission-critical SLAs

Automate and accelerate administration tasks through automatic failure detection and resolution, 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 efficiencies with container-based deployment and automated CI/CD pipelines for jobs from development to test to production.

Modernize your data warehouses

Remove network bottlenecks and optimize load times with colocated 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, transform 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

Prebuilt 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.

IBM Cloud Pak for Data enhances DataOps to deliver agility and reduce risk and costs.

IBM Cloud Pak for Data enhances DataOps to deliver agility and reduce risk and costs. Read the blog post

IBM DataStage clients paving the way with AI-powered data integration

Danske Bank

Danske Bank, the largest Danish Bank and one of the largest banks in the Nordics, uses IBM DataStage on IBM Cloud Pak for Data to feed data from various sources into their data warehouse and data lake environment. They have chosen IBM Watson® Knowledge Catalog on IBM Cloud Pak for Data as an important piece of their data governance strategy for data lineage across the bank, allowing business users to search, find and use relevant quality data through self service.


Gazprombank, one of the largest banks in Russia, is using IBM InfoSphere Information Server with IBM DataStage as the main ETL tool for data movement and transformation, and for improving quality and managing data within their enterprise data warehouse environment.


LocalTapiola, the leading non-life insurer in Finland, covering all types of voluntary and statutory non-life insurance, uses IBM DataStage to move data between their operational systems. This includes the loading of their data warehouses and data marts as well as the integration of data from operational systems to their IBM InfoSphere Master Data Management-powered system.


NNIT is one of Denmark's leading IT service providers, developing, implementing, operating and advising on IT solutions across industries in 12 countries worldwide. NNIT is using IBM DataStage to execute data transformation jobs for their customers, ensuring availability of the right data at any time.

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.

IBM BigIntegrate

Integrate Apache Hadoop big data more easily with an integration solution that provides superior connectivity, fast transformation and reliable, easy-to-use data delivery features.

Next Steps

See how it works

Talk with an IBM DataStage expert