Webinar: Cost optimization on Multi cloud environments using IBM DataStage.

Webinar: Cost optimization on Multi cloud environments using IBM DataStage. Register now

Join DataOps experts for a new webinar series in June

Power your journey to AI

The IBM® InfoSphere® DataStage® offering is an industry-leading cloud-ready data integration solution. It provides real-time delivery of trusted data into data lakes, data warehouses, or any other multi or hybrid cloud environment to feed business-ready data into AI applications. Real-time analytics is now easier than ever, with a cloud-native architecture built on containers and microservices.

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 multi-cloud 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 IBM DataStage on Cloud Pak for Data solution brief (PDF, 232 KB)

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Benefits

Reduce workload execution time through multicloud elastic scaling and balancing

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

Meet mission critical SLAs

Automatic failure detection and resolution automates and acclerates administration tasks, 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 effiencies with container based deployment and automating CI/CD pipelines for jobs from development to test to production.

Modernize your data warehouses

Remove network bottlenecks and optimize load times with co-located 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.

Hands-on lab: Transforming your data with IBM DataStage

Hands-on lab: Transforming your data with IBM DataStage Take the tutorial

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 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

Pre-built 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 for auto-generate jobs

Quickly create reusable job templates to auto-generate jobs and use custom rules to enforce patterns.

What's new

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Data Integration: The vital baking ingredient in your AI strategy

Explore why data integration is critical for your AI strategy to deliver real time access to large volumes of data for AI.

People brainstorming around a table

Feed your data lake with change data capture for real-time integration

Learn how to perform real-time integration and analytics using the change data capture capability within IBM InfoSphere DataStage.

people working at computers

IBM InfoSphere DataStage takes data integration to any cloud

The IBM Institute for Business Value found that 85% of companies manage a multicloud environment.

Other data integration products

IBM InfoSphere Information Server for Data Integration

Extract and transform data in any style and load the data into any system.

IBM BigIntegrate

Integrate Hadoop big data more easily.

IBM Cloud Pak for Data

Transform your business with an open, extensible data and AI platform that runs on any cloud.

Next Steps

See how it works

Talk with an InfoSphere DataStage expert

Legal information

Red Hat® and OpenShift® are trademarks or registered trademarks of Red Hat, Inc. or its subsidiaries in the United States and other countries.