IBM InfoSphere DataStage Reviews

10 Ratings
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Score 8.2 out of 100

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Reviews (1-4 of 4)

Anonymous | TrustRadius Reviewer
October 28, 2019

Great ETL software for complex data rules

Score 8 out of 10
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Verified User
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Pros and Cons

  • Very reliable in handling data extraction, data transformation and loading
  • Flexibility in connecting to different type of databases, relational or non-relational
  • Great features such as parallel processing, hash handling, etc.
  • You can also take advantage of its FTP functions, and scheduling features if you need to.
  • Technical support is a key area IBM should improve for this product. Sometimes our case is assigned to a support engineer and he has no idea of the product or services.
  • Provide custom reports for datastage jobs and performance such as job history reports, warning messages or error messages.
  • Make it fully compatible with Oracle and users can direct use of Oracle ODBC drivers instead of Data Direct driver. Same for SQL server.
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Gonzalo Angeleri | TrustRadius Reviewer
December 06, 2018

Great Data Integration Tool for Enterprise Data Integration Projects

Score 9 out of 10
Vetted Review
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Pros and Cons

  • Proven MPP Engine. Excellent performance for integrating data.
  • 100% visual development, operational and monitoring environment.
  • Any source to any target capabilities.
  • Complex transformation capabilities without writing code.
  • Metadada and data quality capabilities.
  • Hybrid deployment (on-prem or cloud).
  • Unified processing engine.
  • Pricing.
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Anonymous | TrustRadius Reviewer
January 31, 2019

DATASTAGE -ETL

Score 10 out of 10
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Verified User
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Pros and Cons

  • Connectivity.
  • Handling large numbers of records.
  • Varied partitioning algorithms.
  • Complementary packages of connectivity to applications, SAP, etc.
  • You must understand and know the algorithms, since the wrong use of them generates more time in processing.
  • Metadata. You need to develop with connectors, and taking all the Metadata from the menu, all the data that you complete manually, you can't track it.
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Feature Scorecard Summary

Connect to traditional data sources (4)
8.6
Connecto to Big Data and NoSQL (3)
5.2
Simple transformations (4)
9.3
Complex transformations (4)
8.4
Data model creation (2)
7.3
Metadata management (4)
6.8
Business rules and workflow (3)
8.0
Collaboration (4)
5.9
Testing and debugging (4)
6.1
feature 1 (1)
8
Integration with data quality tools (3)
7.0
Integration with MDM tools (3)
6.6

About IBM InfoSphere DataStage

IBM InfoSphere DataStage is an ETL platform for integrating data across enterprise systems, available on-premise or on cloud.
Categories:  Data Integration

IBM InfoSphere DataStage Technical Details

Operating Systems: Unspecified
Mobile Application:No