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Human Inference DataHub vs Informatica Cloud Data Quality comparison

 

Comparison Buyer's Guide

Executive Summary

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

Human Inference DataHub
Ranking in Data Quality
22nd
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
No ranking in other categories
Informatica Cloud Data Quality
Ranking in Data Quality
3rd
Average Rating
8.0
Reviews Sentiment
5.9
Number of Reviews
17
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of July 2025, in the Data Quality category, the mindshare of Human Inference DataHub is 0.6%, up from 0.5% compared to the previous year. The mindshare of Informatica Cloud Data Quality is 7.6%, down from 9.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality
 

Featured Reviews

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Mehmet SukruKaya - PeerSpot reviewer
Improved data quality significantly enhances project efficiency and effectiveness
I am not utilizing the data quality rules management part yet. We had a bad experience before Informatica Cloud Data Quality. We started a data analytics project that took more than three months of wasted time because we couldn't use the data to create the optimization model. If we have an application like Informatica Cloud Data Quality or a data quality platform, we can finish the project in less than three months. This is the on-prem data that we ingested. We don't use any cloud data that we have. For now, we are just using the on-prem data, and we don't have any integration from the data outside of the on-prem. I would recommend it to other users. On a scale of 1-10, I rate this solution a 9.
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863,429 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
No data available
Financial Services Firm
12%
Computer Software Company
11%
Manufacturing Company
10%
Educational Organization
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

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What do you like most about Informatica Cloud Data Quality?
The profiling features are much better than the on-premise version.
What needs improvement with Informatica Cloud Data Quality?
The downside of Informatica Cloud Data Quality is that it requires a developer to write rules and maintain the systems. This creates a significant cost and time burden, especially since we followed...
What is your primary use case for Informatica Cloud Data Quality?
The main use case we had with Informatica Cloud Data Quality was real-time data quality monitoring. When customer information was entered into a tool in real time, we were able to run data quality ...
 

Also Known As

HIquality Data Improver, Human Inference HIquality Name Worldwide
Cloud Data Quality Radar
 

Overview

 

Sample Customers

VANAD Group
Freddie Mac, Rabobank
Find out what your peers are saying about Informatica, SAP, Ataccama and others in Data Quality. Updated: June 2025.
863,429 professionals have used our research since 2012.