IBM DataStage for IBM Cloud Pak for Data
New exclusive offer
See an offer for existing customers to modernize with IBM® DataStage® for IBM Cloud Pak® for Data.
See how DataStage for IBM Cloud Pak for Data delivers business-ready data in real time for AI.
Hear best practices for migrating your workloads to DataStage for IBM Cloud Pak for Data.
IBM Knowledge Center
Find detailed implementation guidance for DataStage for IBM Cloud Pak for Data.
See how DataStage for IBM Cloud Pak for Data delivers elastic scaling that automatically distributes workloads.
Read how workload balancing executes up to 30% faster with DataStage for IBM Cloud Pak for Data.
Explore the benefits of using containers for your data integration tool and of deploying DataStage for IBM Cloud Pak for Data.
See the top 5 reasons you should modernize your data integration on IBM Cloud Pak for Data.
See answers to common questions about modernizing DataStage on IBM Cloud Pak for Data.
IBM DataStage Flow Designer
See how the product works with existing DataStage jobs and how to manage and create new jobs.
Build and run an ETL job
Learn the basics of building and running DataStage ETL jobs and how to track the flow of data lineage.
See how to update cloud-based data repositories and data lakes in real time.
Learn about offloading your enterprise data warehouse (EDW) to a data lake.
Use case demo
Explore the machine learning features of DataStage Flow Designer.
More on data integration
DataOps interactive guide
Learn how DataOps can help organizations deliver value through a business-ready data pipeline.
Discover how a governed data lake can deliver business insights with trusted data.
Data lake use case
See how governance of your data lake helps you avoid creating data swamps.
EDW use case
Address data growth by offloading your enterprise data warehouse to a governed data lake.
See how DataStage cuts costs of EDWs by offloading certain data and ETL processing into Hadoop clusters.