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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
28th
Average Rating
8.6
Reviews Sentiment
7.4
Number of Reviews
18
Ranking in other categories
AI Governance (17th)
 

Mindshare comparison

As of October 2025, in the Data Governance category, the mindshare of Alation Data Catalog is 5.3%, down from 8.2% compared to the previous year. The mindshare of erwin Data Intelligence is 1.8%, down from 2.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance Market Share Distribution
ProductMarket Share (%)
Alation Data Catalog5.3%
erwin Data Intelligence1.8%
Other92.9%
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

"Alation Data Catalog was very useful for sharing SQL queries easily in a platform."
"Alation Data Catalog's best feature is the SQL query publication."
"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 tool's metadata cataloging is the most valuable feature."
"The solution is used to query MySQL clients and store data and documentation."
"The most valuable feature is cloud integration."
"We can customize templates based on our use cases."
"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."
"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."
"The biggest impact for us is that erwin generates DDL extremely quickly. We're able to pull in metadata, map it to a target, generate DDL to create the tables, and generate SSIS packages. Previously, especially going back 10 to 15 years ago, hundreds of hours had to be spent to manually perform these tasks. This solution completely automates it and gets it 90% done. We can then pass it off to a developer to create the items in SSIS."
"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."
"erwin has tremendous capabilities to map right from the business technologies to the endpoint, such as physical entities and physical attributes, from a lineage standpoint."
"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."
"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

"It would be good if the tool could show the output from the records while querying."
"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."
"We have had issues setting up the connectors and getting Alation's support team to resolve issues."
"The interface is not user-friendly."
"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 product's data governance features 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."
"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."
"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."
"There was a huge learning curve, and I'd been in software development for most of my career. The application itself, and how it runs menus and screens when you can modify and code, is complex. I have found that kind of cumbersome."
"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 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."
"Another area where it can improve is by having BB-Graph-type databases where relationship discovery and relationship identification are much easier."
"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."
"The data quality assessment requires third-party components and a separate license."
 

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."
"The solution is a little expensive."
"The platform is moderately expensive compared to the other competitors in the market."
"I don't have all the details on the pricing side, but the solution was more expensive than originally expected."
"The price is too high."
"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 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."
"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 solution is aggressively priced."
"erwin's pricing was cheaper than its competitors."
"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
17%
Computer Software Company
11%
Manufacturing Company
9%
Government
8%
Computer Software Company
26%
Financial Services Firm
11%
Government
7%
Insurance Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise2
Large Enterprise7
By reviewers
Company SizeCount
Small Business1
Midsize Enterprise4
Large Enterprise14
 

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 ...
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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: September 2025.
871,688 professionals have used our research since 2012.