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Alation Data Catalog vs erwin Data Intelligence by Quest comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 3, 2024

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

Alation Data Catalog
Ranking in Data Governance
7th
Average Rating
7.6
Reviews Sentiment
6.9
Number of Reviews
12
Ranking in other categories
Metadata Management (2nd)
erwin Data Intelligence by ...
Ranking in Data Governance
16th
Average Rating
8.6
Reviews Sentiment
7.4
Number of Reviews
18
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of July 2025, in the Data Governance category, the mindshare of Alation Data Catalog is 5.8%, down from 9.9% compared to the previous year. The mindshare of erwin Data Intelligence by Quest is 2.0%, down from 2.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance
 

Featured Reviews

Brahma Lam - PeerSpot reviewer
Has metadata cataloging features but needs changes in domain model
The tool's metadata cataloging is the most valuable feature.  The tool's domain model needs to be changed.  Alation Data Catalog is stable.  The solution is scalable.  Alation Data Catalog's deployment is easy. I rate it a nine out of ten. Deployment takes only two to three hours to complete.…
Roy Pollack - PeerSpot reviewer
The solution provides more profound insights into legacy data movements, lineages, and definitions in the short term.
We have loaded over 300,000 attributes and more than 1000 mappings. The performance is slow, depending on the lineage or search. This is supposed to be fixed in the later versions, but we haven't upgraded yet. The integration with various metadata sources, including erwin Data Modeler, isn't smooth in the current version. It took some experimentation to get things working. We hope this is improved in the newer version. The initial version we used felt awkward because Erwin implemented features from other companies into their offering.

Quotes from Members

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

Pros

"We had some of our data science engineers, who had built out some cloud-based data and data products for users. They were spending a lot of their time, up to 30 to 35% of their time, answering questions about the data and helping people understand how to use it. Once they were able to document that information within Alation, they were only focusing on around 5% of the high-value questions that really couldn't be solved through the catalog itself. It freed them up to be more productive, it made their end-users more productive, and it made the adoption rate of their data products rise more quickly because people were able to get to using them."
"Alation Data Catalog provides a nice interface for connecting to the database, querying the data, and working on it."
"The platform's most valuable features are workflow automation, automated business metadata tagging, technical metadata tagging, and data integration with data quality tools or platforms."
"Alation Data Catalog was very useful for sharing SQL queries easily in a platform."
"The tool's metadata cataloging is the most valuable feature."
"We can customize templates based on our use cases."
"Given the relatively low level of maturity, Alation's most relevant feature at the moment is a user interface that's easy to navigate, which helps us find and understand the data. So while Alation has a lot more functionality, our pain point right now is being able to easily find, understand, and trust the information to use it."
"The solution is used to query MySQL clients and store data and documentation."
"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."
"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."
"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 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 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."
"The interface is easy to use. I also like Erwin's automatic data classification and data quality checks."
"The data management is, obviously, key in understanding where the data is and what the data is. And the governance can be done at multiple levels. You have the governance of the code sets versus the governance of the business terms and the definitions of those business terms. You have the governance of the business data models and how those business data models are driving the physical implementation of the actual databases. And, of course, you have the governance of the mapping to make sure that source-to-target mapping is done and is being shared across the company."
"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."
 

Cons

"The interface is not user-friendly."
"Alation Data Catalog needs to develop a lot in terms of data governance and would be improved with a built-in interactive data quality solution."
"Alation Data Catalog does not provide end-to-end data lineage."
"The product's data governance features need improvement."
"Although the solution performs far better in terms of data cataloging, its data governance capabilities need improvement."
"Alation Data Catalog doesn't support end-to-end lineage. By that, I mean the ability to trace the movement of data from when it first comes into our organization to where it's consumed."
"Data observability within Alation would be incredibly helpful for addressing these challenges"
"It would be good if the tool could show the output from the records while querying."
"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."
"If we are talking about the business side of the product, maybe the Data Literacy could be made a bit simpler. You have to put your hands on it, so there is room for improvement."
"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 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."
"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."
"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."
"We still need another layer of data quality assessments on the source to see if it is sending us the wrong data or if there are some issues with the source data. For those things, we need a rule-based data quality assessment or scoring where we can assess tools or other technology stacks. We need to be able to leverage where the business comes in, defining some business rules and have the ability to execute those rules, then score the data quality of all those attributes. Data quality is definitely not what we are leveraging from this tool, as of today."
 

Pricing and Cost Advice

"A three-year agreement is better than a one-year rolling 12-month agreement from a price point of view. I'd recommend looking at a three-year deal because you can't stand up a catalog and produce value in 12 months."
"I don't have all the details on the pricing side, but the solution was more expensive than originally expected."
"The platform is moderately expensive compared to the other competitors in the market."
"The solution is a little expensive."
"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."
"erwin's pricing was cheaper than its competitors."
"The price is reasonable, and a subscription is required."
"erwin is cheaper than other solutions and this should appeal to other buyers. It has a good price tag."
"The licensing cost is around $7,000 for user. This is an estimation."
"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."
"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
18%
Computer Software Company
11%
Manufacturing Company
7%
Government
7%
Computer Software Company
24%
Financial Services Firm
13%
Government
8%
Insurance Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Alation Data Catalog?
The platform's most valuable features are workflow automation, automated business metadata tagging, technical metadata tagging, and data integration with data quality tools or platforms.
What is your experience regarding pricing and costs for Alation Data Catalog?
The price difference between Alation Data Catalog and Collibra was not significant. Collibra is a little bit expensive than Alation, but I presented the benefits of having that platform, so that li...
What needs improvement with Alation Data Catalog?
Alation Data Catalog is not user-friendly for business users. Its user experience is comparable to a Wikipedia page, lacking good visualization. In a fast-paced world, we need to grasp information ...
What do you like most about erwin Data Intelligence by Quest?
The data mapping manager is the most valuable feature.
What needs improvement with erwin Data Intelligence by Quest?
The data quality assessment requires third-party components and a separate license. I would like to have better integration around the data quality. I would appreciate the inclusion of a non-struct...
 

Also Known As

Alation
erwin DG, erwin Data Governance
 

Overview

 

Sample Customers

Salesforce, Snowflake, Citrix, eBay, TripAdvisor, Albertsons, Nasdaq, Pfizer, LinkedIn, Finnair.
Oracle, Infosys, GSK, Toyota Motor Sales, HSBC
Find out what your peers are saying about Alation Data Catalog vs. erwin Data Intelligence by Quest and other solutions. Updated: June 2025.
860,168 professionals have used our research since 2012.