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Quest Data Intelligence vs Zaloni Data Platform 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

Quest Data Intelligence
Ranking in Data Governance
17th
Average Rating
8.4
Reviews Sentiment
7.1
Number of Reviews
22
Ranking in other categories
Metadata Management (7th), AI Governance (3rd)
Zaloni Data Platform
Ranking in Data Governance
42nd
Average Rating
6.6
Number of Reviews
2
Ranking in other categories
Data Preparation Tools (12th)
 

Mindshare comparison

As of October 2026, in the Data Governance category, the mindshare of Quest Data Intelligence is 2.8%, up from 1.9% compared to the previous year. The mindshare of Zaloni Data Platform is 0.8%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance Mindshare Distribution
ProductMindshare (%)
Quest Data Intelligence2.8%
Zaloni Data Platform0.8%
Other96.4%
Data Governance
 

Featured Reviews

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.
reviewer1476264 - PeerSpot reviewer
Solution Architect at a financial services firm with 10,001+ employees
Solid multi-ingestion tool but with poor exception handling
The major pain point with Zaloni is that their exception handling is not good. If any event happens (an event is when the job stops in the middle of the process), it doesn't tell you at which point it failed and it doesn't tell the operations team how they should take corrective actions unless you call Zaloni and then identify the issues. That is one issue. Another issue is that sometimes your jobs fail and if you run it a second time, it will go through. A third area it could be improved is the deployment process. When you want to deploy anything, it has a lot of manual processes. For example, you have to create your password in an encrypted format, and then you have to use a lot of manual deployment process. They should actually be building something else, like using Jenkins or automating their process. I have suggested to them that they have to improve their deployment process because they want everyone to run a manual deployment. It takes a lot of time, about half a day, for any single deployment. Then test it, then it might not work, and then reverting back is not easy because of the manual deployment process. I think in recent versions they added a lot of upgrades and additional features including a lot of integrations. Before it was just AWS, later they extended it to Azure. I'm not sure how they have extended it to GCP. It has some built-in features and a lot of improvements now because the UI and the features were not easy to navigate. Regarding showing the metrics, it's okay. I will say it's neither easy nor hard, there is whatever is required. Lastly, on the governance side, it's not very good. We faced some issues with the Ranger version. Ranger was an authentication tool on big data and Zaloni had some compatibility issues with the Ranger at that time. Later they said those are all going to be resolved, but at that time it had some issues. I'm not sure whether it was working with the Sentry or not.

Quotes from Members

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

Pros

"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."
"The interface is easy to use. I also like Erwin's automatic data classification and data quality checks."
"The automated data lineage and impact analysis being driven from the mapping documents are astounding in reducing the time to research impact analysis from six to 16 weeks down to minutes, because it's a couple of clicks with a mouse."
"The data mapping manager is the most valuable feature."
"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."
"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."
"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."
"I can estimate that we lowered our time to market by 70 percent right now using these automation scripts, which is a really big thing."
"You can create a lot of ingestions based on the file levels or based on the time."
"The entire need was to ingest it into big data and Zaloni was the fastest product to test and implement into production."
"The most valuable feature is the ability to map data and write workflows with logic inside them."
 

Cons

"It's a little bit clunky. I think a lot of these features were bolted on, and they don't necessarily transition smoothly in the interface. I would like to see a little more cohesion."
"Scalability has room for improvement. It tends to slow down when we have large volumes of data, and it takes more time."
"The metadata ingestion is very nice because of the ability to automate it. It would be nice to be able to do this ingestion, or set it up, from one place, instead of having to set it up separately for every data asset that is ingested."
"There is room for improvement with the data cataloging capability. Right now, there is a list of a lot of sources that they can catalog, or they can create metadata upon, but if they can add more then that would be a good plus for this tool."
"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."
"There were some issues when drawing the data models. If you have more than 500 or 600 tables, it takes a long time to display those in the right position on the screen."
"Really huge datasets, where the logical names or the lexicons weren't groomed or maintained well, were the only area where it really had room for improvement. A huge data set would cause erwin to crash. If there were half a million or 1 million tables, erwin would hang."
"There may be some opportunities for improvement in terms of the user interface to make it a little bit more intuitive. They have made some good progress. Originally, when we started, we were on version 9 or 10. Over the last couple of releases, I've seen some improvements that they have made, but there might be a few other additional areas in UI where they can make some enhancements."
"The major pain point with Zaloni is that their exception handling is not good. If any event happens, it doesn't tell you at which point it failed and it doesn't tell the operations team how they should take corrective actions unless you call Zaloni and then identify the issues. That is one issue."
"When we have gone to the support team because something is wrong with the product, I would say that it has not been easy for them to sort things out and quickly give us a patch."
"The major pain point with Zaloni is that their exception handling is not good."
"Technical support is in need of improvement."
 

Pricing and Cost Advice

"The solution is aggressively priced."
"The price is too high."
"The licensing cost is around $7,000 for user. This is an estimation."
"The whole suite, not just the DI but the modeling software, the harvester, Mapping Manager — everything we have — is about $100,000 a year for our renewals. That works out to each module being something like $8,000 to $10,000."
"erwin's pricing was cheaper than its competitors."
"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."
"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 licensing cost was very affordable at the time of purchase. It has since been taken over by erwin, then Quest. The tool has gotten a bit more costly, but they are adding more features very quickly."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Outsourcing Company
10%
Government
9%
Construction Company
8%
No data available
 

Company Size

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

Questions from the Community

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...
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Also Known As

erwin DG, erwin Data Governance, erwin Data Catalog
ZDP
 

Overview

 

Sample Customers

Oracle, Infosys, GSK, Toyota Motor Sales, HSBC
CDS Global, AIG,
Find out what your peers are saying about Quest Data Intelligence vs. Zaloni Data Platform and other solutions. Updated: September 2026.
916,771 professionals have used our research since 2012.