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Quest Data Intelligence vs data.world Enterprise comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Jul 16, 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
9th
Average Rating
7.6
Reviews Sentiment
2.2
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Quest Data Intelligence
Ranking in Metadata Management
7th
Average Rating
8.4
Reviews Sentiment
7.1
Number of Reviews
22
Ranking in other categories
Data Governance (17th), AI Governance (3rd)
 

Mindshare comparison

As of November 2026, in the Metadata Management category, the mindshare of data.world Enterprise is 2.2%, up from 2.0% compared to the previous year. The mindshare of Quest Data Intelligence is 7.5%, up from 6.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Metadata Management Mindshare Distribution
ProductMindshare (%)
Quest Data Intelligence7.5%
data.world Enterprise2.2%
Other90.3%
Metadata Management
 

Featured Reviews

JohnBosco Obi - PeerSpot reviewer
Data Analyst at Africa Initiative
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.
Jog Raj - PeerSpot reviewer
Senior Consultant at a computer software company with 11-50 employees
Automated lineage and business glossaries have improved data understanding and collaboration
I am open to answering a few questions about erwin Data Intelligence and sharing my opinion about the product. Regarding the analytic part of the product, I find it very interesting that erwin Data Intelligence has its own inbuilt reporting toolset, with a new version coming out in January that will be AI-powered. This means you will be able to write analytical reports and questions based on the metadata and data lineage, making it more powerful than the current version, as AI will assist in creating those reports and performing analysis on the metadata. I find that the time taken to realize value from erwin Data Intelligence can be quite long. Creating a data catalog and developing data lineage takes significant time, and I expect that AI will help accelerate the process of creating data products by streamlining the steps involved. I can recommend erwin Data Intelligence to other users. I would rate this review as an eight out of ten overall.

Quotes from Members

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

Pros

"Previously, it would take up to three weeks to onboard a new analyst, but now within five working days, we can complete the onboarding process."
"Sharing and collaboration have significantly impacted our workflow, as we decided to document each product on data.world Enterprise, providing easy access to everyone, eliminating the need to switch platforms for saving documentation, making it easier for users to access rather than using specific Word files and sharing them on SharePoint."
"The solution saves time in data discovery and understanding our entire organization's data."
"They have just the most marvelous reports called mind maps, where whatever you are focused on sits in the middle. They have this wonderful graphic spiderweb that spreads out from there where you can see this thing mapped to other logical bits or physical bits and who's the steward of it. It's very cool and available to your business teams through a portal."
"Data Intelligence has provided more profound insights into legacy data movements, lineages, and definitions in the short term. We have linked three critical layers of data, providing us with an end-to-end lineage at the column level."
"We use the codeset mapping quite a bit to match value pairs to use within the conversion as well. Those value pair mappings come in quite handy and are utilized quite extensively. They then feed into the automation of the source data extraction, like the source data mapping of the source data extraction, the code development, forward engineering using the ODI connector for the forward automation."
"Data Intelligence creates a single source of truth for all of our metadata. This solution is better for data warehousing, but the metadata features speed up our development work. It's easy to create and manage mappings because we can export them to Informatica and pick up the work where we left off."
"This tool has taken us from having nothing to being very efficient."
"The biggest impact for us is that erwin generates DDL extremely quickly. We're able to pull in metadata, map it to a target, generate DDL to create the tables, and generate SSIS packages. Previously, especially going back 10 to 15 years ago, hundreds of hours had to be spent to manually perform these tasks. This solution completely automates it and gets it 90% done. We can then pass it off to a developer to create the items in SSIS."
"Data Intelligence allows us to automate multiple tasks we had previously done manually, such as restructuring the metadata for our purposes, setting up ETL flows, and defining the data tables we create. It also enables us to standardize our approach and our technical processes."
 

Cons

"Most times, new versions roll out without prior information to users, and even though frequent updates respond to issues, they often introduce new bugs."
"There should be improvements in ease of use."
"Improvement is required for the AIMatch feature, which is supposed to help automatically discover relationships in data."
"The fact that I sometimes have to go in and out of different applications, even though it's all part of the whole erwin suite, perhaps means it could be architected a little bit better. I think they do have some ideas for improvements there."
"Another area where it can improve is by having BB-Graph-type databases where relationship discovery and relationship identification are much easier."
"There are a lot of little things like moving between read screens and edit screens. Those little human interface type of programming pieces will need to mature a bit to make it easier to get to where you want to go to put the stuff in."
"We chose to implement on an Oracle Database because we also had the erwin Data Modeler and Web Portal products in-house, which have been set up on Oracle Databases for many years. Sometimes the Oracle Database installation has caused some hiccups that wouldn't necessarily have been caused if we had used SQL Server."
"The solution's Arabic language processing is limited. The results are limited when you use the interface in Arabic."
"There is room for improvement in automation, no question."
"I find that the time taken to realize value from erwin Data Intelligence can be quite long."
 

Pricing and Cost Advice

Information not available
"Smart Data Connectors have some costs, and then there are user-based licenses. We spend roughly $150,000 per year on the solution. It is a yearly subscription license that basically includes the cost for Smart Data Connectors and user-based licenses. We have around 30 data stewards who maintain definitions, and then we have five IT users who basically maintain the overall solution. It is not a SaaS kind of operation, and there is an infrastructure cost to host this solution, which is our regular AWS hosting cost."
"We operate on a yearly subscription and because it is an enterprise license we only have one. It is not dependent on the number of users."
"The licensing cost is around $7,000 for user. This is an estimation."
"The price is reasonable and competitive. When you get into forward and reverse-engineering, the cost could go up. However, if you are a large organization, you would probably be able to access different packages. If, however, you don't need forward and reverse-engineering, then the price is relatively cheap."
"The price is reasonable, and a subscription is required."
"Erwin Data Catalog is very expensive."
"There is an additional fee for the server maintenance."
"erwin is cheaper than other solutions and this should appeal to other buyers. It has a good price tag."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
14%
Outsourcing Company
10%
Government
8%
Construction Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise4
Large Enterprise16
 

Questions from the Community

What needs improvement with data.world Enterprise?
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 fre...
What is your primary use case for data.world Enterprise?
data.world Enterprise serves as an enterprise data catalog that makes data assets across the organization findable and understandable. We use it for data governance to enforce policies, manage acce...
What advice do you have for others considering data.world Enterprise?
Archie has changed our workflow significantly because it pulls data from the data already stored on the servers. Archie is very reliable and able to provide accurate answers without hallucination, ...
What needs improvement with erwin Data Intelligence by Quest?
In my opinion, the analytics part of erwin Data Intelligence is not satisfactory. The name 'Intelligence' is not related specifically to analytics; it is focused on data governance with no advanced...
What is your primary use case for erwin Data Intelligence by Quest?
My main use case for erwin Data Intelligence is applying it and the DQ Labs in a financial institution.
What advice do you have for others considering erwin Data Intelligence by Quest?
The integration of business glossaries has significantly helped improve collaboration in our organization. We define the business glossaries first during meetings with the business, and then we bul...
 

Also Known As

No data available
erwin DG, erwin Data Governance, erwin Data Catalog
 

Overview

 

Sample Customers

AP, Square Panda, Aceable
Oracle, Infosys, GSK, Toyota Motor Sales, HSBC
Find out what your peers are saying about Quest Data Intelligence vs. data.world Enterprise and other solutions. Updated: October 2026.
919,894 professionals have used our research since 2012.