IBM InfoSphere DataStage Reviews

10 Ratings
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Score 8.4 out of 101

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Reviews (1-3 of 3)

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Score 8 out of 10
Vetted Review
Verified User
Review Source
It is mainly used by IT department as ETL software. It served as an efficient tool for us to extract data, transform and load data in the databases or provide the output file for users and other systems. With ODBC connections, it can connect Oracle, SQL, and other databases and open files to read and write.
  • 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.
It is well suited if your data is quite complex and many data rules are in place. You have to write real complex data joins to generate output. While DataStage can handle it and provide you an intuitive design for support and analysis.
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January 31, 2019

DATASTAGE -ETL

Score 10 out of 10
Vetted Review
Verified User
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  • DS is one of the most powerful ETL tools on the market. Its connectors to different bases plus the pack make it a solid tool, and complete. It has a great number of functions, and the work with a big amount of data with DS is not complex (as long as you have the knowledge and know how to handle the partitioning algorithms, etc).
  • DataStage has improved over time. It has improved its connectors, added functionalities, making easier the programming and the maintenance of the development.
  • 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.
Recommend for:
Small and large data volumes
For development and processing of complex data (functions / routines)
File management
Migrating Data from a Database to other
When you need to track all the data loaded, because you can have all the information about the transformation, the derivation, and where it was used
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Gonzalo Angeleri profile photo
Score 9 out of 10
Vetted Review
Reseller
Review Source
DataStage is part of the IBM data integration and governance suite and is primarily used as an ETL tool to integrate information at the corporate level. It allows to minimize the development and maintenance times of integration processes by having a totally visual development environment and therefore the cost of these processes.
  • 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.
Good for:

  • Integration Layer for a Data Mart and Data Warehousing implementation.
  • Batch or near real-time integration processes
  • Big data implementation (integrating non-Hadoop world with Hadoop)

Not so Good:

  • Real time integration
Read Gonzalo Angeleri's full review

Feature Scorecard Summary

Connect to traditional data sources (3)
9.3
Connecto to Big Data and NoSQL (2)
8.0
Simple transformations (3)
10.0
Complex transformations (3)
9.3
Data model creation (1)
8
Metadata management (3)
7.7
Business rules and workflow (2)
8.5
Collaboration (3)
6.6
Testing and debugging (3)
7.0
feature 1 (1)
8
Integration with data quality tools (2)
9.5
Integration with MDM tools (2)
8.5

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

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Mobile Application:No