Overview
IBM® InfoSphere® DataStage® integrates data on demand across many systems via a high performance parallel framework, extended metadata management, and enterprise connectivity.
It integrates data on demand with a high performance parallel framework, extended metadata management, and enterprise connectivity.
Supports the collection, integration and transformation of large volumes of data, with data structures ranging from simple to highly complex.
Provides support for big data and Hadoop, enabling customers to directly access big data on a distributed file system, thereby helping you address the most challenging data volumes in your business
New features, such as an operations console, an interactive debugger for parallel jobs, and support for balanced optimization, help customers work smarter, enhance productivity and accelerate problem resolution.
Offers a scalable platform that enables companies to solve large-scale business problems through high-performance processing of massive data volumes
Supports real-time data integration.
Enables developers to maximize speed, flexibility and effectiveness in building, deploying, updating and managing their data integration infrastructure.
Completes connectivity between any data source and any application.
Languages supported: French, Korean, Chinese (Simplified and Traditional), Spanish, Portuguese-Brazilian, German, Japanese, English, Italian
Data sheet
IBM InfoSphere DataStage - Enterprise-scale data integration, transformation and delivery
Framework tabs
Product family
IBM InfoSphere Information Server
A revolutionary new data integration software platform that helps derive more value from complex, heterogeneous information.
Additional products or solutions
InfoSphere DataStage Pack for Data Masking
Provides in-line capabilities for masking sensitive data in ETL jobs for data integration
InfoSphere DataStage MVS Edition
Provides native data integration capabilities for the mainframe.
InfoSphere Information Server Packs
Supports connectivity to enterprise applications for repeatable, re-usable data integration jobs.
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