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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
18th
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 (14th)
 

Mindshare comparison

As of August 2026, in the Data Governance category, the mindshare of Quest Data Intelligence is 2.5%, up from 2.0% 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 Intelligence2.5%
Zaloni Data Platform0.8%
Other96.7%
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

"Being able to capture different business metrics and organize them in different catalogs is most valuable. We can organize these metrics into sales-related metrics, customer-related metrics, supply chain-related metrics, etc."
"The client is thrilled with higher quality, lower-cost products, and the services."
"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."
"The biggest benefit with erwin DI is that I have a single source of truth that I can send anybody to. If anybody doesn't know the answer we can go back to it. Just having a central location of business rules is good."
"The solution saves time in data discovery and understanding our entire organization's data."
"Mind map... is a really good feature because it is very helpful in seeing which column's tables are related. Also, you can flag them with "sensitive data" and other indicators. You can also customize your own features for the mind map. That was another very robust feature."
"The main benefits erwin Data Intelligence provides to me include better decision-making, saving money and time by applying governance policies and procedures on the actual technical data, ensuring decisions are based on KPIs that are governed from source to end, and providing functionality for data classification to prevent unauthorized access through integration with the infrastructure team using DLP methodology."
"It is a central place for everybody to start any ETL data pipeline builds. This tool is being heavily used, plus it's heavily integrated with all the ETL data pipeline design and build processes. Nobody can bypass these processes and do something without going through this tool."
"The most valuable feature is the ability to map data and write workflows with logic inside them."
"The entire need was to ingest it into big data and Zaloni was the fastest product to test and implement into production."
"You can create a lot of ingestions based on the file levels or based on the time."
 

Cons

"Scalability has room for improvement. It tends to slow down when we have large volumes of data, and it takes more time."
"The solution's Arabic language processing is limited. The results are limited when you use the interface in Arabic."
"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."
"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."
"Improvement is required for the AIMatch feature, which is supposed to help automatically discover relationships in data."
"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."
"There is room for improvement with respect to the connector and how to connect to the structured and unstructured database."
"Everything about Data Intelligence is complex. Though we've used the tool for five years, we're still only using about 30 to 40 percent of its capabilities. It would be helpful if we could customize and simplify the user interface because there are so many redundant things."
"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

"There is an additional fee for the server maintenance."
"erwin's pricing was cheaper than its competitors."
"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."
"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 a subscription is required."
"The solution is aggressively priced."
"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 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."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Government
9%
Construction Company
8%
Outsourcing 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: August 2026.
911,493 professionals have used our research since 2012.