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IBM InfoSphere DataStage provides a powerful, scalable ETL platform that supports the collection, integration and transformation of large volumes of data, with data structures ranging from simple to complex.
Category
ETL Software
Features
•A high-performance parallel framework, available on premises or in the cloud •Provides an easy and fast deployment of integration run time on your chosen cloud environment •Extended metadata management and enterprise connectivity •Yields tremendous gains in productivity over coding by transparently handling endpoint individuality
What is best?
•Integration of heterogeneous data, including big data at rest (Hadoop-based) •Big data in motion (stream-based), on both distributed •Mainframe platforms •Support for IBM Db2® Z and Db2 for z/OS®
What are the benefits?
•Application of workload and business rules •Provides a rapid development cycle, using design automation and prebuilt patterns •Real-time data integration and a platform that’s designed for easy use
PAT Rating™
Editor Rating
Aggregated User Rating
Rate Here
Ease of use
9.0
6.1
Features & Functionality
9.1
6.6
Advanced Features
9.1
9.5
Integration
9.2
7.3
Performance
9.2
8.4
Customer Support
9.0
8.3
Implementation
7.5
Renew & Recommend
8.5
Bottom Line
IBM InfoSphere DataStage Support for big data and Hadoop and enables you to directly access big data on a distributed file system, and helps clients more efficiently leverage new data sources by providing JSON support and a new JDBC connector.
9.1
Editor Rating
7.9
Aggregated User Rating
16 ratings
You have rated this
IBM InfoSphere DataStage provides a powerful, scalable ETL platform that supports the collection, integration and transformation of large volumes of data, with data structures ranging from simple to complex. It Support for big data and Hadoop and enables you to directly access big data on a distributed file system, and helps clients more efficiently leverage new data sources by providing JSON support and a new JDBC connector.
IBM InfoSphere DataStage integrates data across multiple systems using a high performance parallel framework, and it supports extended metadata management and enterprise connectivity. The scalable platform provides more flexible integration of all types of data, including big data at rest (Hadoop-based) or in motion (stream-based), on distributed and mainframe platforms.
InfoSphere DataStage provides near real-time data integration as well as connectivity between data sources and applications. Workload and business rules management helps you optimize hardware utilization and prioritize mission-critical tasks.
Helps you optimize hardware utilization and prioritize mission-critical tasks.
Company size
Small (<50)
User Role
Consultant
User Industry
Energy
Rating
Ease of use8
Features & Functionality8.9
IBM InfoSphere DataStage is the premier ETL platform to integrate trusted data across multiple enterprise systems leveraging a high performance parallel framework on-premises or in the cloud. DataStage supports extended metadata management and ubiquitous enterprise connectivity. Supports the collection, integration and transformation of large volumes of data.
Advanced Features8.4
Integration8.9
Training 8.9
Customer Support8.9
Implementation8
ADDITIONAL INFORMATION Improves speed, flexibility and effectiveness to build, deploy, update and manage your data integration infrastructure. Deploys on-premises or in the cloud.
Helps you optimize hardware utilization and prioritize mission-critical tasks.
Small (<50)
Consultant
Energy
IBM InfoSphere DataStage is the premier ETL platform to integrate trusted data across multiple enterprise systems leveraging a high performance parallel framework on-premises or in the cloud. DataStage supports extended metadata management and ubiquitous enterprise connectivity. Supports the collection, integration and transformation of large volumes of data.
ADDITIONAL INFORMATION
Improves speed, flexibility and effectiveness to build, deploy, update and manage your data integration infrastructure. Deploys on-premises or in the cloud.