Overview

IBM ranks second highest in the Data Fabric Use Case

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

Client stories

Testimonials

How much can you save by upgrading?

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

Features

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.

Reusable job templates

Auto-generate jobs and use custom rules to enforce patterns.

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

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Collaborate

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Collaborate

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

Build data pipelines

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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

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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

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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

Join the community

Elevate expertise and share insights on data integration and DataStage.

¹ Based on IBM internal analysis of client data. Individual client results may vary.
² Forrester, New Technology: The Projected Total Economic Impact Of IBM Cloud Pak For Data (PDF, 1.3 MB), February 2020