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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
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 9.6% compared to the previous year. The mindshare of erwin Data Intelligence by Quest 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 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."
"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."
"The solution is used to query MySQL clients and store data and documentation."
"The tool's metadata cataloging is the most valuable feature."
"Alation Data Catalog was very useful for sharing SQL queries easily in a platform."
"Alation Data Catalog provides a nice interface for connecting to the database, querying the data, and working on it."
"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."
"Data Intelligence has provided more profound insights into legacy data movements, lineages, and definitions in the short term. We have linked three critical layers of data, providing us with an end-to-end lineage at the column level."
"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."
"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 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 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 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."
"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."
 

Cons

"We have had issues setting up the connectors and getting Alation's support team to resolve issues."
"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."
"Alation Data Catalog does not provide end-to-end data lineage."
"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."
"The product's data governance features need improvement."
"The tool's domain model needs to be changed."
"The interface is not user-friendly."
"Alation Data Catalog is not user-friendly for business users. Its user experience is comparable to a Wikipedia page, lacking good visualization."
"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."
"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."
"The data quality assessment requires third-party components and a separate license."
"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 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 technical support could be improved."
"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 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."
 

Pricing and Cost Advice

"I don't have all the details on the pricing side, but the solution was more expensive than originally expected."
"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."
"The solution is a little expensive."
"The platform is moderately expensive compared to the other competitors in the market."
"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 was at a good price. The federal government wouldn't buy something if the pricing wasn't good."
"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."
"There is an additional fee for the server maintenance."
"The price is too high."
"The solution is aggressively priced."
"The price is reasonable, and a subscription is required."
"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
9%
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 by Quest and other solutions. Updated: July 2025.
864,313 professionals have used our research since 2012.