IBM is a Leader

See why in the Gartner 2020 Magic Quadrant for Data Integration Tools.

Overview

Client use cases

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.

Webinar series: Go deeper on DataStage for IBM Cloud Pak for Data

What’s new

Multicloud data integration

Modernize your data integration architecture to deploy on any cloud and fuel AI innovation.

Modernize data integration with containers

Explore the benefits of using containers for your data integration tool and of deploying DataStage on IBM Cloud Pak for Data.

Upgrade your data integration

See why industry leaders are moving to DataStage on IBM Cloud Pak for Data.

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.

Footnotes

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