Audience

IBM Cloud Pak users who need a cloud-native insight platform

About IBM DataStage

Accelerate AI innovation with cloud-native data integration on IBM Cloud Pak for data. 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. 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.

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Integrations

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Ratings/Reviews

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Company Information

IBM
Founded: 1911
United States
www.ibm.com/products/infosphere-datastage

Videos and Screen Captures

IBM DataStage Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Videos
Support
Online

IBM DataStage Frequently Asked Questions

Q: What kinds of users and organization types does IBM DataStage work with?
Q: What languages does IBM DataStage support in their product?
Q: What kind of support options does IBM DataStage offer?
Q: What other applications or services does IBM DataStage integrate with?
Q: What type of training does IBM DataStage provide?

IBM DataStage Product Features

Big Data

Templates
Data Visualization
Collaboration
Data Blends
Data Cleansing
Data Warehousing
High Volume Processing
Data Mining
No-Code Sandbox
Predictive Analytics

Data Lineage

Object Lineage Tracing
Point-in-Time Visibility
Lineage Object Filtering
User/Client/Target Connection Visibility
Visual & Text Lineage View
Filter Lineage Links
Implicit Connection Discovery
Database Change Impact Analysis

ETL

Data Analysis
Match & Merge
Data Filtering
Data Quality Control
Metadata Management
Version Control
Non-Relational Transformations
Job Scheduling