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Alation Data Catalog vs erwin Data Intelligence comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Aug 19, 2025

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
Ranking in Data Governance
18th
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 August 2025, in the Data Governance category, the mindshare of Alation Data Catalog is 5.6%, down from 9.5% compared to the previous year. The mindshare of erwin Data Intelligence is 1.9%, 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 was very useful for sharing SQL queries easily in a platform."
"We can customize templates based on our use cases."
"The solution is used to query MySQL clients and store data and documentation."
"Alation Data Catalog provides a nice interface for connecting to the database, querying the data, and working on it."
"The tool's metadata cataloging is the most valuable feature."
"The most valuable features of Alation Data Catalog are the simplicity in onboarding data sources, the security in securing the data sources, and the way the various users of Alation Data Catalog communicate with each other through a messenger."
"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 interface is easy to use. I also like Erwin's automatic data classification and data quality checks."
"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."
"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."
"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 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."
"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."
"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."
 

Cons

"The product's data governance features need improvement."
"Alation Data Catalog is not user-friendly for business users. Its user experience is comparable to a Wikipedia page, lacking good visualization."
"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."
"I know that this has been on their roadmap and they're working on it, but as a whole, there's an untapped reservoir of capabilities within their article features that could be used and built upon."
"The interface is not user-friendly."
"Although the solution performs far better in terms of data cataloging, its data governance capabilities need improvement."
"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."
"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."
"Another area where it can improve is by having BB-Graph-type databases where relationship discovery and relationship identification are much easier."
"The technical support could be improved."
"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 data quality assessment requires third-party components and a separate license."
"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."
"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."
"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."
 

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 solution is a little expensive."
"The platform is moderately expensive compared to the other competitors in the market."
"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."
"You buy a seat license for your portal. We have 100 seats for the portal, then you buy just the development licenses for the people who are going to put the data in."
"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 too high."
"There is an additional fee for the server maintenance."
"The solution is aggressively priced."
"erwin is cheaper than other solutions and this should appeal to other buyers. It has a good price tag."
"erwin's pricing was cheaper than its competitors."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
10%
Manufacturing Company
8%
Government
7%
Computer Software Company
25%
Financial Services Firm
10%
Government
8%
Non Profit
7%
 

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 and other solutions. Updated: July 2025.
865,295 professionals have used our research since 2012.