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Informatica Data Explorer [EOL] Reviews

Vendor: Informatica
4.5 out of 5
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What is Informatica Data Explorer [EOL]?

Get the Data Quality Buyer's Guide and find out what your peers are saying about Informatica Data Explorer [EOL] and more!
Buyer's Guide
Data Quality
June 2026
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Helped 900,644 peers since 2012
 
 
Key learnings from peers
Last updated Mar 25, 2026

Valuable Features

  • "Overall our company requirements are met with this product."
  • "Data Explorer comes as a powerful tool in database development by providing complete end-to-end solution in data migration, data discovery and data extract transform load."

Room for Improvement

  • "Sometimes it gets disconnected from the source."
  • "Data Explorer lacks extended support for databases and therefore can only be used to run generic JDBC."
These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.
Download our Data Quality Buyer's Guide for additional reliable information.

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Informatica Data Explorer [EOL] Reviews Summary
Author infoRatingReview Summary
Business Intelligence Consultant at a tech consulting company with 1,001-5,000 employees4.0I find this a powerful profiling tool that helped refine our rules. Setup was easy, service excellent, and our requirements met. I'd only wish for better scalability with terabytes and fewer source disconnections.
CEO at a tech company with 51-200 employees5.0I find Data Explorer a powerful, user-friendly tool for data migration, discovery, and reverse engineering across multiple databases. However, it has limited extended database support, and its interface may not appeal to all developers.
it_user157326 - PeerSpot reviewer
it_user157326
Business Intelligence Consultant at a tech consulting company with 1,001-5,000 employees
Oct 20, 2014
​IDE has helped refine business rules, define cleansing rules, transformation definition, and monitoring requirements.

Valuable Features



1. Column Profiling to identify discrete values, min/max values, range uniqueness, data patterns and identifying nulls

2.Cross Table Structure Analysis to identify redundant tables, and to identify attributes for Foreign key referential integrity.



Improvements to My Organization



IDE has helped to refine business rules, Define cleansing rules, define Transformation Definition, and Monitoring Requirements.



Room for Improvement



Scalability to Tera bytes of Data analysis.



Use of Solution



2 years



Deployment Issues



No issues.



Stability Issues



No issues.



Scalability Issues



Sometimes it gets disconnected from the source.



Customer Service and Technical Support



Customer Service:

Excellent.

Technical Support:

Good.



Initial Setup



Straightforward. Installation setup for server and client is clearly defined.



Implementation Team



Vendor Team. They were very helpful and have in-depth understanding on product architecture.



ROI



Overall our company requirements are met with this product.



Other Advice



It's a very powerful profiling tool with GUI Based reports.


it_user6414 - PeerSpot reviewer
it_user6414
CEO at a tech company with 51-200 employees
May 10, 2013
Data Explorer is a powerful tool for providing end-to-end solutions in database development

Valuable Features:


• Data Explorer comes as a powerful tool in database development by providing complete end-to-end solution in data migration, data discovery and data extract transform load.
• It is compatible to many platforms and run in major web browsers while supporting many database management systems as well as other data sources.
• The newer versions have improved overall user experienced and usability making it suitable for tasks such as basic database development and data viewing.
• In database development tasks where metadata is heavily browsed, Data Explorer provides immediate solution thus improving understanding data integrity.


Room for Improvement:


• Data Explorer lacks extended support for databases and therefore can only be used to run generic JDBC.
• The intuitive interface relies heavily on functional language and may slightly fail to appeal to developers who are used to such languages as Excel and C#.
• The libraries lack entries points that are official for developers to add the some costumed functionality in the query designer to suit their varying needs.


Other Advice:


Being able to work with multiple databases at the same time is one of the major useful features that I personally find interesting when using Data Explorer. Reverse engineering existing databases has not being easy for me while in the same time maintaining identity dependency. Data explore provides substantial support in this field and boast my confidence due to the friendly and supportive interface.