IBM ranks second highest in the Data Fabric Use Case

See why in the 2021 Gartner Critical Capabilities for Data Integration Tools.

Client stories


How much can you save by upgrading?

Take the business value assessment to see the savings with DataStage for IBM Cloud Pak for Data.


DataStage highlights

Accelerate AI with trusted data

Full spectrum of data and AI services

Manage the data and analytics lifecycle on the IBM Cloud Pak for Data platform. Services include data science, event messaging, data virtualization and data warehousing.

Parallel engine and automated load balancing

Process data at scale by optimizing ETL performance with a best-in-breed parallel engine and load balancing that maximizes throughput.

Metadata support for policy-driven data access

Protect sensitive data with metadata exchange using IBM Watson® Knowledge Catalog. Use data lineage to see how data flows through transformation and integration.

Automated delivery pipelines for production

Automate continuous integration/continuous delivery (CI/CD) job pipelines from dev to test to production and help reduce development costs.

Extensive set of prebuilt connectors and stages

Use prebuilt connectivity and stages to move data between multiple cloud sources and data warehouses, such as IBM Netezza® and IBM Db2® Warehouse on Cloud.

IBM DataStage Flow Designer

Increase developer productivity with machine learning-assisted design in a user-friendly interface, helping cut development costs.

In-flight data quality

Trust data delivery using IBM InfoSphere® QualityStage® to automatically resolve quality issues when data is ingested by target environments.

Automated failure detection

Reduce infrastructure management effort 65% - 85%², letting users focus on higher value tasks.

Distributed data processing

Execute cloud runtimes remotely wherever the data resides, while maintaining data sovereignty and minimizing costs.

Modernize your existing capabilities with IBM DataStage for IBM Cloud Pak for Data — AI-powered data delivery, anywhere

Product images


Screen shot showing a flow in DataStage


Work with your peers on DataStage flows and control access to your projects.

Build data pipelines

Screen shot showing the Merge properties

Build data pipelines

Efficiently perform data integration work in a no-code/low-code environment with a user-friendly interface. Hundreds of prebuilt functions and connectors reduce development time and improve consistency of design and deployment.

Auto workload balancing

Screen shot showing the job run details for the insurance customer policy view

Auto workload balancing

DataStage has a best-in-breed, highly scalable parallel engine that processes substantial data volumes. Built-in auto workload balancing provides high performance and elastic management of compute resources.

Connections, integration

Screen shot showing a table of data about drivers with an insurance policy

Platform connections and integration points

Accelerate DataOps with shared platform connections and integrations with other products in IBM Cloud Pak for Data, including data virtualization, governance, business intelligence, and data science services.

What’s new

Top questions about modernizing DataStage

See answers to some of the most frequently asked questions about modernizing DataStage on IBM Cloud Pak for Data.

How to get more from IBM DataStage

Learn how to improve productivity by connecting to new sources and targets more quickly when building ETL jobs.

IBM recognized as a Leader in data integration tools

See why in the Gartner 2021 Magic Quadrant for Data Integration Tools.​

IBM Cloud Pak for Data

An open, extensible data and AI platform that runs on any cloud

IBM InfoSphere® Information Server Enterprise Edition

An end-to-end data integration platform to help you cleanse, monitor, transform and deliver quality data

IBM InfoSphere® Information Server for Data Integration

A tool to extract and transform data in any style and load the data into any system