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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.
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What's new
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.
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.
IBM InfoSphere DataStage takes data integration to any cloud
The IBM Institute for Business Value found that 85% of companies manage a multicloud environment.
Expert resources to help you succeed
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 Cloud Pak for Data
Transform your business with an open, extensible data and AI platform that runs on any cloud.
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.