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Informatica Data Quality vs PacketFabric Network Solutions comparison

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Informatica Data Quality
Ranking in Google Cloud Marketplace
1st
Average Rating
8.6
Number of Reviews
2
Ranking in other categories
No ranking in other categories
PacketFabric Network Solutions
Ranking in Google Cloud Marketplace
553rd
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
No ranking in other categories
 

Featured Reviews

Hemanthreddy Vakiti - PeerSpot reviewer
Data engineer at a tech vendor with 10,001+ employees
Data quality checks have reduced manual monitoring but still face cost and performance issues
Some of the best features Informatica Data Quality offers include AI automation using CLAIRE, which integrates AI with Informatica Data Quality, and its user-friendly drag-and-drop interface. All of this is simply usable to any person who has minimal knowledge of ETL. Rather than querying every table to check for any duplicate entries or null values, it is impossible to query for each site. Once we integrate it with Informatica Data Quality and use the drag-and-drop function to specify the conditions we need and connect to the databases, it directly checks if the values are within the threshold or if we can set conditions, such as not entering records with null values. It also features a match and merge condition, from which data profiling and data cleansing can be done.
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Questions from the Community

What is your experience regarding pricing and costs for Informatica Data Quality?
I have been informed by our management team that the pricing is high, but I am not sure about the specific figures regarding what the pricing is.
What needs improvement with Informatica Data Quality?
One thing is that, compared to the features provided by Informatica Data Quality, when compared to other tools offering similar features, it is somewhat costly. The scalability is not up to mark co...
What is your primary use case for Informatica Data Quality?
We are using Informatica PowerCenter for ETL, and simultaneously we are using Informatica Data Quality for data profiling, validation, to remove duplicate entries, and for data cleansing. Ours is a...
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Overview