Overview
Multicloud, AI-powered data integration
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 the IBM Cloud Pak for Data platform for AI.
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.
Clear data roadblocks with DataStage on IBM Cloud Pak for Data (01:53)
IBM ranks second highest in the Data Fabric Use Case
See why in the 2021 Gartner Critical Capabilities for Data Integration Tools.
Benefits
DataStage for IBM Cloud Pak for Data
Client stories
Wichita State University
Uses DataStage on IBM Cloud Pak for Data to help predict at-risk students and facilitate proactive intervention.
HUK-Coburg
Modernizes its data integration architecture on IBM Cloud Pak for Data to deliver innovative insurance applications
Testimonials
DataStage on SaaS and IBM Cloud Pak for Data delivers ultimate flexibility – data movement and transformation on a modern, hybrid cloud architecture with seamless integration into IBM’s data fabric ecosystem.
Kevin Burnley,
Director, Technical Sales EMEA
Mastech InfoTrellis
Working with DataStage for IBM Cloud Pak for Data, we’ve transformed advanced analytics using open and transparent methodologies.
Philip Black,
Vice President, Client Services, TechD
How much can you save by upgrading?
Take the business value assessment to see the savings with DataStage for IBM Cloud Pak for Data.
Gain flexibility
Multiple deployment options
Features
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.
Modernize your existing capabilities with IBM DataStage for IBM Cloud Pak for Data — AI-powered data delivery, anywhere
Product images
Collaborate
Collaborate
Work with your peers on DataStage flows and control access to your projects.
Build data pipelines
Build data pipelines
Efficiently perform data integration work in a no-code/low-code environment with a user-friendly interface. Hundreds of prebuilt functions and connectors reduce development time and improve consistency of design and deployment.
Auto workload balancing
Auto workload balancing
DataStage has a best-in-breed, highly scalable parallel engine that processes substantial data volumes. Built-in auto workload balancing provides high performance and elastic management of compute resources.
Connections, integration
Platform connections and integration points
Accelerate DataOps with shared platform connections and integrations with other products in IBM Cloud Pak for Data, including data virtualization, governance, business intelligence, and data science services.
What’s new
Top questions about modernizing DataStage
See answers to some of the most frequently asked questions about modernizing DataStage on IBM Cloud Pak for Data.
How to get more from IBM DataStage
Learn how to improve productivity by connecting to new sources and targets more quickly when building ETL jobs.
IBM recognized as a Leader in data integration tools
See why in the Gartner 2021 Magic Quadrant for Data Integration Tools.
Related products
IBM Cloud Pak for Data
An open, extensible data and AI platform that runs on any cloud
IBM InfoSphere® Information Server Enterprise Edition
An end-to-end data integration platform to help you cleanse, monitor, transform and deliver quality data
IBM InfoSphere® Information Server for Data Integration
A tool to extract and transform data in any style and load the data into any system
Join the community
Elevate expertise and share insights on data integration and DataStage.
¹ Based on IBM internal analysis of client data. Individual client results may vary.
² Forrester, New Technology: The Projected Total Economic Impact Of IBM Cloud Pak For Data (PDF, 1.3 MB), February 2020