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Ixsight Data Quality vs SQL Power Data Quality comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Ixsight Data Quality
Ranking in Data Scrubbing Software
9th
Average Rating
8.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
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
 

Mindshare comparison

As of November 2024, in the Data Scrubbing Software category, the mindshare of Ixsight Data Quality is 2.2%, up from 1.8% compared to the previous year. The mindshare of SQL Power Data Quality is 0.9%, down from 1.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Scrubbing Software
 

Featured Reviews

it_user826683 - PeerSpot reviewer
Dedupe helps us identify customer relationships as well as non-performing assets
We are using it primarily as a dedupe application. Our bank has multiple customer onboarding applications (different ones for trade products, non-trade, micro finance products, consumer finance products) and we use Ixsight to dedupe the customer across applications so that we know the customer's…
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…

Quotes from Members

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

Pros

"We are using it primarily as a dedupe application... We use Ixsight to dedupe the customer across applications so that we know the customer's relationship across the bank."
"The solution is able to integrate with many systems and other products."
"It is a scalable solution. We have over 1,000 SQL Power Data Quality users in our organization."
"The Nomo, select form, and so on are the most valuable features."
 

Cons

"I would like them to evolve the product's online strategy, as more and more the need is for a "prefacto" dedupe (before creating the customer)."
"The only area of improvement that we've come across within the solution was the portfolio roadmap creation. There's a bit of limitation there, but otherwise, the tool itself is very good."
"The normalization factor should be improved so that it is better scaled. It should be more user-friendly."
"Downtime issues should be improved."
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Questions from the Community

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What do you like most about SQL Power Data Quality?
The Nomo, select form, and so on are the most valuable features.
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.
 

Comparisons

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Overview

 

Sample Customers

Axis Bank, Barclays, IndusInd Bank, Oriental Bank of Commerce, Tata Sky, Save the Children, Merkle Inc., Naaptol, Volkswagen, Voltas, Schneider Electric, Future Generali, HDFC Life, Bajaj Finserv, Indiabulls, Ranbaxy Laboratories
TimeWarner, Champion Technologies Tiscali, Oneil, Broadspire,youbet.com, Pepsi Co, Citco, John Lewes
Find out what your peers are saying about Talend, Experian, Kroll-Software and others in Data Scrubbing Software. Updated: November 2024.
816,406 professionals have used our research since 2012.