IBM is a Leader

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

AI-powered data integration. Anywhere.

Your AI and analytics are only as good as the data that fuels them. With a modern container-based architecture, IBM® DataStage® for IBM Cloud Pak® for Data delivers that high-quality data. It combines industry-leading data integration with DataOps, governance and analytics on a single data and AI platform.

Automation accelerates administrative tasks to help reduce TCO. AI-based design accelerators and out-of-the-box integration with DataOps and data science services speed AI innovation. Parallelism and multicloud integration let you deliver trusted data at scale across hybrid or multicloud environments.

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Auto Scaling with IBM DataStage – IBM Cloud Pak for Data 3.0

Auto Scaling with IBM DataStage – IBM Cloud Pak for Data 3.0 (03:49)

Benefits

DataStage for IBM Cloud Pak for Data

Speed workload execution

Run workloads 30% faster¹ with workload balancing and a parallel engine.

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Design once, deploy anywhere

Separate ETL job design from runtime and deploy on any cloud.

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Modernize data integration

Extend capabilities while preserving existing DataStage investments.

See the infographic (2.9 MB) document--pdf

Reduce costs

Cut data movement costs with virtualization and containers.

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Client use cases

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Associated Bank

Adopts DataStage on IBM Cloud Pak for Data to support predictive and prescriptive analytics for better business decisions and customer experiences
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HUK-Coburg

Modernizes its data integration architecture on IBM Cloud Pak for Data to deliver innovative insurance applications

Gain flexibility

Multiple deployment options

Industry-leading data integration

On any cloud

Add data integration capabilities with IBM DataStage Enterprise and IBM DataStage Enterprise Plus on IBM Cloud Pak for Data.

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On premises

Run your on-premises workloads with IBM DataStage Enterprise and IBM DataStage Enterprise Plus.

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Features

DataStage highlights

Accelerate AI with trusted data

See the details (173 KB) document--pdf

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.
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What’s new

Multicloud data integration

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

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Modernize data integration with containers

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

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Upgrade your data integration

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

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Related products

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IBM Cloud Pak for Data

An open, extensible data and AI platform that runs on any cloud

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IBM InfoSphere Information Server Enterprise Edition

An end-to-end data integration platform to help you cleanse, monitor, transform and deliver quality data

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IBM InfoSphere Information Server for Data Integration

A tool to extract and transform data in any style and load the data into any system

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Get started with IBM DataStage

Join the community

Elevate expertise and share insights on data integration and DataStage.

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Sign up for the beta

Try DataStage on IBM Cloud Pak for Data.

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Talk to an expert

Schedule a no-cost, 30-minute call with an IBM specialist.

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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