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Progress Semaphore vs data.world Enterprise comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jun 3, 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

data.world Enterprise
Ranking in Metadata Management
16th
Average Rating
7.0
Reviews Sentiment
2.2
Number of Reviews
1
Ranking in other categories
No ranking in other categories
Progress Semaphore
Ranking in Metadata Management
10th
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of July 2026, in the Metadata Management category, the mindshare of data.world Enterprise is 2.5%, up from 1.3% compared to the previous year. The mindshare of Progress Semaphore is 2.8%, up from 1.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Metadata Management Mindshare Distribution
ProductMindshare (%)
Progress Semaphore2.8%
data.world Enterprise2.5%
Other94.7%
Metadata Management
 

Featured Reviews

JohnBosco Obi - PeerSpot reviewer
Data Analyst at AIG Africa
Data discovery has transformed analyst autonomy and now needs better bulk editing and UI control
The first improvement I would like for data.world Enterprise is an improvement in communication with users. Most times, new versions roll out without prior information to users, and even though frequent updates respond to issues, they often introduce new bugs. It would be beneficial to send out notifications to users whenever an update is coming, either via email or in-app, so that they can prepare and expect changes. I also find that some areas of the product interface are overly complex, and interface customization needs improvement for users to choose where buttons should be and the layout they prefer. Another improvement needed is the absence of a bulk edit feature in the platform itself. For example, when searching for data and needing to do some edits, you cannot do bulk edits within data.world Enterprise. Instead, you have to export and make your changes in a Python or SQL environment, or use Excel to validate and edit before importing the dataset back for analysis. If data.world Enterprise could incorporate a data-wrangling tool on its service, allowing changes to be made directly, that would be a great improvement.
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Overview

 

Sample Customers

AP, Square Panda, Aceable
HP, Amgen, Merck, KPMG, Thomson Reuters
Find out what your peers are saying about Collibra, Informatica, Alation and others in Metadata Management. Updated: June 2026.
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