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Archived Informatica Data Explorer [EOL] Reviews (more than two years old)

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it_user157326 - PeerSpot reviewer
Business Intelligence Consultant at a tech consulting company with 1,001-5,000 employees
Consultant
​IDE has helped refine business rules, define cleansing rules, transformation definition, and monitoring requirements.

What is most valuable?

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.

How has it helped my organization?

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

What needs improvement?

Scalability to Tera bytes of Data analysis.

For how long have I used the solution?

2 years
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Data Quality
June 2022
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What was my experience with deployment of the solution?

No issues.

What do I think about the stability of the solution?

No issues.

What do I think about the scalability of the solution?

Sometimes it gets disconnected from the source.

How are customer service and support?

Customer Service: Excellent. Technical Support: Good.

How was the initial setup?

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

What about the implementation team?

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

What was our ROI?

Overall our company requirements are met with this product.

What other advice do I have?

It's a very powerful profiling tool with GUI Based reports.
Disclosure: I am a real user, and this review is based on my own experience and opinions.
it_user6414 - PeerSpot reviewer
CEO at a tech company with 51-200 employees
Consultant
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.
Disclosure: I am a real user, and this review is based on my own experience and opinions.
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Updated: June 2022
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Data Quality
Buyer's Guide
Download our free Data Quality Report and find out what your peers are saying about Informatica, SAP, RedPoint, and more!
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