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Prometheus-AI Platform vs SQL Power Data Quality comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 29, 2026

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

Prometheus-AI Platform
Ranking in Data Scrubbing Software
6th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
34
Ranking in other categories
ERP (24th), Enterprise Asset Management (EAM) (7th)
SQL Power Data Quality
Ranking in Data Scrubbing Software
8th
Average Rating
8.8
Number of Reviews
4
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2026, in the Data Scrubbing Software category, the mindshare of Prometheus-AI Platform is 3.2%, up from 0.7% compared to the previous year. The mindshare of SQL Power Data Quality is 3.1%, up from 1.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Scrubbing Software Mindshare Distribution
ProductMindshare (%)
Prometheus-AI Platform3.2%
SQL Power Data Quality3.1%
Other93.7%
Data Scrubbing Software
 

Featured Reviews

MuhammadAzhar Khan - PeerSpot reviewer
Senior DevOps Engineer at Alibaba Group
Free to use and provides valuable monitoring capabilities
Prometheus is a scalable and flexible tool that I can deploy on any cloud platform. It is free to use and provides valuable monitoring capabilities. It allows me to save money by avoiding costs associated with AWS native services like CloudWatch or Amazon Prometheus. The ability to deploy on any cloud platform or environment, including Kubernetes, is a major advantage.
reviewer2091297 - PeerSpot reviewer
Fraud Strategist(Actimize/SAS) at a financial services firm with 10,001+ employees
Is easy to deploy and is stable and scalable
I like the load balancing feature The normalization factor should be improved so that it is better scaled. It should be more user-friendly. It should be easier to export reports. I've been using SQL Power Data Quality for 10 years. SQL Power Data Quality is stable. It is a scalable solution.…

Quotes from Members

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

Pros

"It is an efficient solution."
"The feature I found most valuable is the number of integrations. It is the industry standard for metrics."
"The resilience of the solution's metric collection is very nice."
"I like its lightweight configuration functions."
"The most valuable feature is that we can receive information in different formats."
"Stability-wise, I rate the solution a ten out of ten."
"The most valuable features of the solution are metrics scraping capabilities and the open source community and support."
"It is highly valuable as it serves as the foundation for our infrastructure monitoring tools."
"It is a scalable solution. We have over 1,000 SQL Power Data Quality users in our organization."
"The solution is very easy to use and it's quite flexible."
"SQL Power Data Quality is truly a proven product that makes the work of cleaning data in both source and target data easy yet efficient."
"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

"The query language in Prometheus is an area of concern where improvements are required."
"The simplicity of the query language could be improved. The current query language is not easy to work with."
"Prometheus' UI color can improve. Using the Prometheus UI for configuration or analyzing queries is a horrible experience."
"They could provide efficient logs in terms of clarity and ease of access similar to Datadog’s paid version."
"Its stability could be even better."
"Prometheus has a learning curve when setting it up. It definitely requires a little bit more hands-on than other solutions. It is an open source solution which means you do need to go through and read the literature that they have online for setting it up. The setup could be made easier."
"The DSL could be improved."
"The initial setup of Prometheus is complex and rated one out of five in ease of setup."
"Downtime issues should be improved."
"Integrating SQL Power with the system is challenging especially in places where no tutorials found and new versions continue to be released with varying requirements."
"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."
 

Pricing and Cost Advice

"This is an open-source solution."
"The solution is free of cost."
"We use the solution's open-source version."
"The price of Prometheus is good, it is affordable because it is open source and there is no cost to it. You put it on your own server and the costs incurred completely depend on how you set it up."
"Prometheus is an open-source solution."
"The product is expensive compared to Datadog."
"The tool is open-sourced."
"Prometheus is available as an open-source product."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
10%
Manufacturing Company
7%
Construction Company
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business15
Midsize Enterprise8
Large Enterprise13
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Prometheus?
Prometheus is cost-effective for me as it is free. Using cloud-native alternatives like Amazon Prometheus would incur charges.
What is your primary use case for Prometheus?
I use Prometheus for monitoring purposes in IT infrastructure. It is particularly useful for environments using Kubernetes, as it monitors ports, containers, instances, and applications effectively.
What advice do you have for others considering Prometheus?
As a new user, I should be familiar with syntax and commands. Online resources like Google and ChatGPT can be helpful. I should consider using cloud-native tools for ease of management if not using...
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Also Known As

Utopia Data Quality
No data available
 

Overview

 

Sample Customers

Harley-Davidson Motor Company, Roche Diagnostics Corporation, Harman International Industries Inc., Hilmar Cheese Company, International Rectifier Corporation, Electrolux USA, GE Fanuc Intelligent Platforms, Rio Tinto Limited, Pertamina Pusat, Petrofac International Ltd, Cintas Corporation, Diyar United Company, Nortel Networks, Verizon
TimeWarner, Champion Technologies Tiscali, Oneil, Broadspire,youbet.com, Pepsi Co, Citco, John Lewes
Find out what your peers are saying about Prometheus-AI Platform vs. SQL Power Data Quality and other solutions. Updated: June 2026.
902,495 professionals have used our research since 2012.