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Ataccama ONE Platform vs SQL Power Data Quality comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Aug 13, 2025

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

Ataccama ONE Platform
Ranking in Data Scrubbing Software
2nd
Average Rating
8.0
Reviews Sentiment
7.1
Number of Reviews
10
Ranking in other categories
Data Quality (4th), Master Data Management (MDM) Software (4th), Data Governance (11th)
SQL Power Data Quality
Ranking in Data Scrubbing Software
7th
Average Rating
8.8
Number of Reviews
4
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2025, in the Data Scrubbing Software category, the mindshare of Ataccama ONE Platform is 6.3%, down from 8.6% compared to the previous year. The mindshare of SQL Power Data Quality is 1.8%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Scrubbing Software
 

Featured Reviews

JohnZacharkan - PeerSpot reviewer
Enhanced data quality with machine learning support in diverse environments
We used Ataccama ONE to read data from the mainframe for a data quality perspective. There's a significant lack in that area with tools being able to interface with mainframe. MetLife has a diverse environment, including DB2, Oracle, SQL Server, legacy, and vSAN files. Being able to work in these various environments and put them to a single data quality tool was very appealing. Additionally, Ataccama supported AI and machine learning, which was one of the features I liked. Furthermore, we were able to interface bidirectionally with Collibra for data governance, catching data quality issues before propagating through the system.
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

"The product’s important feature is data profiling and quality check."
"The desktop version of the solution was particularly valuable to me, primarily for creating components. We opted for the data quality aspect to assess the quality of our data warehouse. The functionalities available allowed us to not only check data quality but also serve as an ETL tool. This versatility enabled data transformation and storage in various formats, including files on platforms like SharePoint or local online directories. The flexibility of the tool catered to the specific needs of those building components, contributing to our desired outcomes."
"It is also easy to deploy."
"The ease of use of the user console is valuable."
"The drag-and-drop feature is incredibly flexible and straightforward."
"Customer service was excellent, and I would give it a ten out of ten."
"The notable aspect lies in the workflow structure, where building the workflow aligns significantly with data governance."
"The data profile itself is excellent. You can understand the quality of the data in layman's terms."
"It is a scalable solution. We have over 1,000 SQL Power Data Quality users in our organization."
"The solution is able to integrate with many systems and other products."
"The Nomo, select form, and so on are the most valuable features."
 

Cons

"I believe it would be beneficial if it could enhance its flexibility to connect with a wider range of downstream systems beyond just Excel and Postgres."
"They could focus more on marketing the product. The current marketing strategy is not working."
"Although DQA can fetch data from most of the commonly used data sources, it has limited modifiers to get data, meaning that the number of technologies from which the data can be acquired is limited. For example, DQA does not support fetching data from Twitter or Facebook. Many competitors have this feature."
"Speaking specifically about the version we use, version 12.3, I'm unsure if this has been addressed in subsequent versions. One improvement I'd like to see pertains to the language used in certain components, especially in data quality checks. The language complexity posed a challenge for beginners. Although we had on-site assistance from Ataccama, making it manageable for us, some individuals found it difficult to comprehend, necessitating additional support. The provision of a comprehensive guide for on-premise installation can also be enhanced. The lack of detailed information on the solution's workings and the overwhelming nature of notifications, with extensive content, were areas of concern. Streamlining the notification content in newer versions would significantly expedite issue resolution."
"It is complicated to fetch 20-25 reports when we profile the data."
"Data movement is a pain."
"There is a notable challenge in having to provide detailed filters before the site recognizes the search criteria."
"The interfacing to tools such as Collibra was somewhat cumbersome and required more thought."
"Downtime issues should be improved."
"The normalization factor should be improved so that it is better scaled. It should be more user-friendly."
"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."
 

Pricing and Cost Advice

"Our licensing model wasn't user-specific; instead, we paid fees for the engine and maintenance. As we didn't have a support contract, maintenance fees were likely nonexistent. Regarding the upgrade, we had an account for the initial two or three years, and considering the features provided by the solution, the pricing was reasonable."
"There is no need to buy a license. You can just download it and use it for free."
"The product is reasonably priced."
"Despite not being extremely low-cost, the pricing appears reasonable, making it a profitable and viable choice for companies that prioritize data security and adhere to specific policies."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Manufacturing Company
10%
Computer Software Company
9%
Insurance Company
8%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about Ataccama ONE Platform?
The notable aspect lies in the workflow structure, where building the workflow aligns significantly with data governance.
What needs improvement with Ataccama ONE Platform?
The interfacing to tools such as Collibra was somewhat cumbersome and required more thought. While it was possible to configure these interfaces, they required some coding. It would be beneficial i...
What is your primary use case for Ataccama ONE Platform?
Some of the use cases for Ataccama ONE included data quality, identifying and mapping to Collibra, which was their data governance tool. It was critical for them to interface directly with that too...
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.
 

Also Known As

Ataccama DQ Analyzer
No data available
 

Overview

 

Sample Customers

Société Générale, First Data, Raiffeisenbank International, T-Mobile, Avast, RSA, Toronto Public Library
TimeWarner, Champion Technologies Tiscali, Oneil, Broadspire,youbet.com, Pepsi Co, Citco, John Lewes
Find out what your peers are saying about Experian, Ataccama, Talend and others in Data Scrubbing Software. Updated: August 2025.
865,164 professionals have used our research since 2012.