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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 October 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 gives us data lineage which means we can see an impact if we make a change. The ability for us to have that in this company is brilliant because we used to have 49 data stewards from some 23 different groups within six major departments. Each one of those was a silo unto itself. The ability to have different glossaries — but all pointed to the same key terms, key concepts, or key attributes — has made life really simple."
"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."
"There is a wide range of widgets that enables the user to find the proper information quickly. The presentation of information is something very valuable."
"We always know where our data is, and anybody can look that up, whether they're a business person who doesn't know anything about Informatica, or a developer who knows everything about creating data movement jobs in Informatica, but who does not understand the business terminology or the data that is being used in the tool."
"By using the data catalog, we have definitely improved in terms of maturity as a data-driven decision-maker organization, and we are now getting to a level where everybody understands the data, understands how it is organized, and how they can use this data for different business decisions."
"Overall, DI's data cataloging, data literacy, and automation have helped our decision-makers because when a source wants to change something, we immediately know what the impact is going to be downstream."
"This tool has taken us from having nothing to being very efficient."
"The possibility to write automation scripts is the biggest benefit for us. We have several products with metadata and metadata mapping capabilities. The big difference when we were choosing this product was the ability to run automation scripts against metadata and metadata mappings. Right now, we have a very high level of automation based on these automation scripts, so it's really the core feature for us."
 

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."
"The technical support could be improved."
"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."
"The solution's Arabic language processing is limited. The results are limited when you use the interface in Arabic."
"There was a huge learning curve, and I'd been in software development for most of my career. The application itself, and how it runs menus and screens when you can modify and code, is complex. I have found that kind of cumbersome."
"There is room for improvement with respect to the connector and how to connect to the structured and unstructured database."
"The SDK behind this entire product needs improvement. The company really should focus more on this because we were finding some inconsistencies on the LDK level. Everything worked fine from the UI perspective, but when we started doing some deep automation scripts going through multiple API calls inside the tool, then only some pieces of it work or it would not return the exact data it was supposed to do."
"The versioning can sometimes be confusing because we use the publishing feature for the mapping. Technical analysts sometimes have two versions, and they should know that the public version is the correct one."
"One big improvement we would like to see would be the workflow integration of codeset mapping with the erwin source to target mapping. That's a bit clunky for us. The two often seem to be in conflict with one another. Codeset mappings that are used within the source to target mappings are difficult to manage because they get locked."
 

Pricing and Cost Advice

Information not available
"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."
"There is an additional fee for the server maintenance."
"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 solution is aggressively priced."
"The price is reasonable, and a subscription is required."
"I am not very familiar with its pricing. I know it is not cheap, but it is also not super expensive. It depends on the company size. For a company making $1 million, it is very expensive. For a company making 10 million and above, it might be okay."
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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.