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DQE Data Quality Everywhere DQE One Standalone vs Portal26 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

DQE Data Quality Everywhere...
Average Rating
10.0
Number of Reviews
1
Ranking in other categories
Data Quality (19th)
Portal26
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
AWS Marketplace (233rd)
 

Featured Reviews

reviewer2802858 - PeerSpot reviewer
CTO at a media company with 51-200 employees
Data quality has improved and compliance and deduplication workflows are now fully controlled
DQE One Standalone could be improved with technical documentation that, while clear, could include more real-world examples for advanced use cases, such as Airflow integration. Adding native connectors for Snowflake or Databricks would also be a plus. Additional features that should be included in the next release include a real-time suggestion API to validate data at entry, such as web forms, similar to DataQ but in Standalone mode. Customizable dashboards to visualize data quality by segment, such as B2B vs. B2C customers, and business validation rules that allow users to create custom rules, such as the French SIRET format, would be valuable.
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Top Industries

By visitors reading reviews
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Construction Company
53%
Healthcare Company
7%
Manufacturing Company
7%
Insurance Company
6%
 

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Large Enterprise
Midsize Enterprise
Small Business
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Questions from the Community

What is your experience regarding pricing and costs for DQE Data Quality Everywhere DQE One Standalone?
Transparency in the licensing model, whether subscription or usage-based, is clear, with no hidden costs. For SMEs, ROI is quick, under 6 months in my case. I recommend starting with a PoC on a cri...
What needs improvement with DQE Data Quality Everywhere DQE One Standalone?
DQE One Standalone could be improved with technical documentation that, while clear, could include more real-world examples for advanced use cases, such as Airflow integration. Adding native connec...
What is your primary use case for DQE Data Quality Everywhere DQE One Standalone?
I address and normalize customer data for validation and deduplication within our daily data pipeline, focusing on autonomy, compliance, and scalability. At Personnel, we use DQE One Standalone to ...
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Comparisons

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Overview

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Find out what your peers are saying about Informatica, Qlik, SAP and others in Data Quality. Updated: March 2026.
885,789 professionals have used our research since 2012.