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SQL Power Data Quality vs TIQ Solutions Data Quality comparison

SQL Power and TIQ Solutions are both solutions in the Data Scrubbing Software category. SQL Power is ranked #6 with an average rating of 8.0, while TIQ Solutions is ranked #27. SQL Power holds a 1.5% mindshare in DSS, compared to TIQ Solutions’s 0.6% mindshare. Additionally, 100% of SQL Power users are willing to recommend the solution.
SQL Power Data Quality
Read 4 SQL Power Data Quality reviews
  • 157 Views
  • 89 Comparison Views
100% willing to recommend
TIQ Solutions Data Quality
  • 56 Views
  • 53 Comparison Views
 

Comparison Buyer's Guide

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Executive Summary
We performed a comparison between SQL Power Data Quality and TIQ Solutions Data Quality based on real PeerSpot user reviews.

Find out what your peers are saying about Experian, Talend, Melissa and others in Data Scrubbing Software.

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To learn more, read our detailed Data Scrubbing Software Report (Updated: July 2025).
Buyer's Guide
Data Scrubbing Software
July 2025
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Helped 863,429 peers since 2012

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

SQL Power Data Quality
Ranking in Data Scrubbing Software
6th
Average Rating
8.8
Number of Reviews
4
Ranking in other categories
No ranking in other categories
TIQ Solutions Data Quality
Ranking in Data Scrubbing Software
27th
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of July 2025, in the Data Scrubbing Software category, the mindshare of SQL Power Data Quality is 1.5%, up from 1.1% compared to the previous year. The mindshare of TIQ Solutions Data Quality is 0.6%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Scrubbing Software
 

Featured Reviews

Ayinde Hammed - PeerSpot reviewer
Helps you cleanse your data, validate and correct addresses, and identify and remove duplicates
I use SQL most of the time to clean up the data, transform it, and then push it into the database. We extract data from apps and from websites using a lot of applications. We do that using Python. We used Outlook before to pull data from, the source and then log into Snowflake.  The Nomo, select…
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Questions from the Community

What do you like most about SQL Power Data Quality?
The Nomo, select form, and so on are the most valuable features.
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What needs improvement with SQL Power Data Quality?
Downtime issues should be improved.
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What advice do you have for others considering SQL Power Data Quality?
It is a very good solution and I recommend it. I rate the overall solution an eight out of ten.
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Comparisons

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Product Reports

Buyer's Guide
Data Scrubbing Software
July 2025
SQL Power Data Quality reportDownload SQL Power Data Quality product report
Buyer's Guide
Data Scrubbing Software
July 2025
TIQ Solutions Data Quality reportDownload TIQ Solutions Data Quality product report
 

Overview

The SQL Power Data Quality helps you cleanse your data, validate and correct addresses, identify and remove duplicates, and build cross-references between source and target tables. This provides business users with complete and accurate data, and a single 360-degree view of all business entities, such as customer, product, representative, employee, supplier or business unit.
SQL Power
Information not available
TIQ Solutions
 

Sample Customers

TimeWarner, Champion Technologies Tiscali, Oneil, Broadspire,youbet.com, Pepsi Co, Citco, John Lewes
Deutsche Telekom AG, Infineon Technologies AG, Leipzig Tourismus und Marketing GmbH, Karosseriewerke Dresden
Buyer's Guide
Data Scrubbing Software
July 2025
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Find out what your peers are saying about Experian, Talend, Melissa and others in Data Scrubbing Software. Updated: July 2025.
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863,429 professionals have used our research since 2012.
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We monitor all Data Scrubbing Software reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.