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Alation Data Catalog vs Data Hub comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 8, 2026

Review summaries and opinions

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

ROI

Sentiment score
5.7
Alation Data Catalog boosts efficiency by reducing search time, cutting costs, and enhancing user independence in data management.
Sentiment score
3.4
Data Hub reduces errors, simplifies resolutions, centralizes data management, but Atlan is faster, with financial metrics often unavailable.
We have seen a return on investment, having saved close to 10.5% of our costs, with expected ROI growing yearly by about 17%.
Senior Staff Cyber Security Cloud Data Architect at GE Healthcare
Instead of going into Google or consulting a colleague, I can just go to Alation Data Catalog, search there, and understand everything by myself.
Data Engineer at Yum! Brands
Atlan has a better approach compared to Data Hub.
Data Quality Engineer at truelogic
Data Hub centralizes data cataloging and classification, saving us from having to disclose PII column information to teams not utilizing it.
Software Engineer L2 at a tech vendor with 5,001-10,000 employees
I have seen a return on investment with Data Hub, notably in reducing the knowledge transition period and improving our ability to troubleshoot production issues in Power BI, thus saving time.
Manager - Projects at Cognizant
 

Customer Service

Sentiment score
5.6
Alation's support is generally positive, with fast ticket processing but some issues with time zones and complex problem-solving.
Sentiment score
3.5
Data Hub offers responsive customer service and support via webinars, Slack, and sales teams, ensuring fast, genuine assistance.
Some of them have dragged on for six months, which is much longer than we would ever want some support issues to go on.
Senior Data Engineer & Data Platform Engineer at a financial services firm with 1,001-5,000 employees
we have defined several SLAs that have resolved critical issues and incidents with excellent support.
Senior Staff Cyber Security Cloud Data Architect at GE Healthcare
we have been able to contact them, and they have been able to help us whenever we have had issues
Senior Data Analyst at a government with 1,001-5,000 employees
When I was working with Atlan, and needed support, they were very good at attending to my requests directly.
Data Quality Engineer at truelogic
Customer support for Data Hub is quite good.
Manager - Projects at Cognizant
Customer support for Data Hub is very genuine, and they are responsive and attentive.
Senior Software Engineer II at Porch.com, Inc.
 

Scalability Issues

Sentiment score
6.8
Alation Data Catalog excels in scalability for expanding user bases and data size, with some API limitations on free versions.
Sentiment score
6.0
Data Hub efficiently supports scalability, enabling smooth integration and handling of vast data and complex structures for growing organizations.
As data sizes grow, we can also scale categorizations, calibrations, and the types of data we ingest and catalog through this tool.
Senior Staff Cyber Security Cloud Data Architect at GE Healthcare
Alation Data Catalog's scalability is really good since everything is cloud and everything gets pulled into the system via Snowflake and DBT automatically.
Senior Data Analyst at a government with 1,001-5,000 employees
Alation Data Catalog's scalability has met our needs as our data and user base has grown.
Senior Data Engineer & Data Platform Engineer at a financial services firm with 1,001-5,000 employees
We have successfully onboarded over 1000 datasets from various sources without any issues.
Senior Software Engineer II at Porch.com, Inc.
Data Hub's scalability is advantageous, as we onboard data from over one hundred fifty tables in SQL Server to Snowflake, and adding new tables to Data Hub is not time-consuming.
Manager - Projects at Cognizant
Data Hub's scalability is very easy, as we were able to add users and new datasets very quickly and smoothly.
Data Quality Engineer at truelogic
 

Stability Issues

Sentiment score
7.5
Alation Data Catalog is praised for stability, reliable performance, excellent maintenance, with minor on-premises outages and DBT load concerns.
Sentiment score
8.3
Data Hub is stable and reliable, with consistent performance and minimal issues, excelling in dataset and column checks.
It has never gone down when we wanted to access it.
Senior Data Engineer & Data Platform Engineer at a financial services firm with 1,001-5,000 employees
Alation Data Catalog has been stable for me, as I haven't seen much downtime.
Senior ORM Analyst Assistant Vice President at a financial services firm with 1,001-5,000 employees
From my experience, Alation Data Catalog is stable.
Senior Data Analyst at a government with 1,001-5,000 employees
Since I've been using Data Hub, it has always been very stable; I can say it was one hundred percent stable.
Data Quality Engineer at truelogic
Data Hub is stable in my experience.
Software Engineer L2 at a tech vendor with 5,001-10,000 employees
Data Hub is stable.
Data Quality Engineer at truelogic
 

Room For Improvement

Alation Data Catalog needs improved lineage, user interface, automation, security, and integration with Power BI and external APIs.
Users seek enhanced Data Hub features, improved usability, better integration, and stronger AI capabilities for a seamless experience.
The platform needs improvement in integrating with BI tools, reducing manual efforts, and facilitating a smooth connection.
Senior Data Governance at a university with 51-200 employees
Additionally, bringing in AI capabilities to automate tracking and labeling can optimize how we handle data information levels.
Senior Staff Cyber Security Cloud Data Architect at GE Healthcare
Alation Data Catalog can be improved by enhancing their lineage capabilities to make it easier for us as users to search the lineage without having to use the Alation Data Catalog user interface.
Senior Data and Analytics Consultant at a manufacturing company with 10,001+ employees
Providing consulting or support with professionals who are qualified to use Data Hub would be interesting, along with providing training and certifications for the tool so that those who are implementing it can specialize increasingly in its features.
Data Quality Engineer at truelogic
The impact is very positive, and there are many benefits for us using Data Hub because it was easier to make data governance, create centralized metadata management, improve data discoverability, and manage data in general.
Software Engineer at a tech vendor with 10,001+ employees
I wonder if it can automate the classification exercise, possibly using AI to auto-classify PII direct and indirect items.
Director at a university with 1-10 employees
 

Setup Cost

Alation Data Catalog pricing is high, but discounts and long-term agreements offer better value compared to competitors.
Collibra is a little bit expensive than Alation, but I presented the benefits of having that platform, so that little bit of money was not a big deal.
Senior Data Governance at a university with 51-200 employees
Discussions with the vendor partners provided a detailed breakdown of costs and how they can be reduced over time.
Senior Staff Cyber Security Cloud Data Architect at GE Healthcare
Regarding experience with pricing, setup cost, and licensing, I think if we have a budget of one hundred thousand US dollars, we will be able to deploy a reasonable version and connect to a number of data sources.
Director at a university with 1-10 employees
 

Valuable Features

Alation Data Catalog boosts productivity with intuitive features, seamless data management, and enhances collaboration through advanced governance and cloud integration.
Data Hub offers scalable data discovery, integration, lineage tracking, security, and streamlined access, boosting collaboration and productivity.
It was the only data catalog tool where I could save and even create SQL queries.
Senior Data Governance at a university with 51-200 employees
Importantly, we establish a single source of truth, centralizing metadata and standardizing definitions, which minimizes confusion and helps with consistent data use across the organization.
Senior Staff Cyber Security Cloud Data Architect at GE Healthcare
My stakeholders can find relevant data assets quickly using a Google search without needing technical jargon, reducing the time spent searching for data.
Data Engineer at Yum! Brands
Data Hub became a single source of truth for metadata, supporting both compliance requirements and day-to-day operational needs.
Software Engineer at a tech vendor with 10,001+ employees
Data Hub has positively impacted our organization by bringing the tribal knowledge that resides with team members into a single place where users can discover and understand the data elements before they make use of it.
Director at a university with 1-10 employees
Having a tool that shows the data lineage from the source until the target tables helps us a lot.
Data Quality Engineer at truelogic
 

Categories and Ranking

Alation Data Catalog
Ranking in Metadata Management
3rd
Average Rating
8.0
Reviews Sentiment
5.8
Number of Reviews
19
Ranking in other categories
Data Governance (4th)
Data Hub
Ranking in Metadata Management
6th
Average Rating
8.4
Reviews Sentiment
5.0
Number of Reviews
16
Ranking in other categories
AI Observability (11th)
 

Mindshare comparison

As of June 2026, in the Metadata Management category, the mindshare of Alation Data Catalog is 10.2%, down from 16.5% compared to the previous year. The mindshare of Data Hub is 2.6%. It is calculated based on PeerSpot user engagement data.
Metadata Management Mindshare Distribution
ProductMindshare (%)
Alation Data Catalog10.2%
Data Hub2.6%
Other87.2%
Metadata Management
 

Featured Reviews

reviewer2776527 - PeerSpot reviewer
Senior Data and Analytics Consultant at a manufacturing company with 10,001+ employees
Increases data discoverability and boosts self-service analytics through enriched metadata and intuitive search
The best features that Alation Data Catalog offers are its search capabilities and the fact that it works with many different data platforms; it is essentially platform agnostic. The other piece that I really think is important is how easy it is to use as well as to manage. What makes the search capabilities of Alation Data Catalog stand out for me is the fact that every item within the catalog is indexed and searchable, as well as the filtering features that allow you to narrow down to just the types of assets that you need. Wildcard searches are also very helpful. It is a very intuitive tool, as long as you are using the filters. Alation Data Catalog has positively impacted my organization by allowing users to answer questions that they had without trying to track down an expert. This has saved them quite a bit of time and frustration. It has allowed them to solve problems they probably would not have been able to solve had they not had the catalog. We have been measuring the curation of content within the catalog that has gone up over time, and we have also seen the number of users in the catalog increase, as well as the amount of activity within the catalog increase. We were seeing about an average of about 20% increase month over month for the last few months.
Akashkhurana Hirana - PeerSpot reviewer
Senior Software Engineer II at Porch.com, Inc.
Metadata management has streamlined lineage tracking and data discovery for our teams
The best features Data Hub offers include its integration capability with many popular tools like Apache Airflow, Snowflake, dbt, Looker, Apache Kafka, and BigQuery. These tools provide us with data in various places, and we commonly use Apache Airflow for the DAG, while utilizing BigQuery as our database and Apache Kafka for consuming messaging queues. Data Hub easily connects with all these tools and features excellent data discovery and visualization capabilities. We can see data visibility, where it comes from, its upstream and downstream relationships. If we remove a column, we can assess the impact of that change. Furthermore, if there are duplicate datasets being used by different teams that do not communicate regularly, onboarding all data to Data Hub allows us to identify these duplicates easily. Out of all those features, I believe data discovery and impact analysis are the most valuable for my team because when we want to add or drop a column, we can assess the impact analysis to understand the downstream effects. This helps us know who owns a dataset, and we can easily contact the owner. Tracking the data lineage back to the source table is also a key benefit. Data Hub has positively impacted my organization by significantly reducing manual work that was previously needed to identify upstream and downstream data relationships, as well as recognizing duplicate datasets. If a data contract is broken, we now easily get notified of those issues, making the process much easier and more efficient. It is particularly useful for data engineers and platform teams to check for problems directly within Data Hub. Data Hub has saved our team a lot of time. For example, in a large company like Porch, if I want to know whether a specific dataset exists, I can check Data Hub, as it serves as a centralized point for managing the metadata of our data. While it does not contain all data, it does contain the metadata necessary for understanding the dataset's origin. If a dataset does not exist, I can simply see who the owner is and reach out to them, which reduces the dependency on others by providing direct access to information in Data Hub.
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Manufacturing Company
10%
Government
6%
Healthcare Company
5%
Financial Services Firm
13%
Outsourcing Company
13%
Manufacturing Company
10%
Wholesaler/Distributor
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise2
Large Enterprise15
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise7
Large Enterprise12
 

Questions from the Community

What is your experience regarding pricing and costs for Alation Data Catalog?
I haven't had any experience with pricing, setup costs, or licensing, as I have been strictly an end user and haven't had any administrative or management responsibilities.
What needs improvement with Alation Data Catalog?
Some of the downsides about the lineage is that some of the code is quite difficult to read as the formatting is a bit ugly sometimes. Alation Data Catalog can be improved with the lineage formatti...
What is your primary use case for Alation Data Catalog?
I have been using Alation Data Catalog for the past year now. My main use case for Alation Data Catalog is updating data descriptions and making sure analysts have what they need to do their job. W...
What needs improvement with Data Hub?
I think Data Hub can be improved by supporting the open source version better. Many features have moved to the paid version now, making it difficult for small-scale companies to operate on Data Hub...
What is your primary use case for Data Hub?
My main use case for Data Hub is that we use it as a library for all the data assets that we generate. It serves as an internal data mart where people can search for whatever data they need, and th...
What advice do you have for others considering Data Hub?
Data Hub does most of the job it is designed to do, but there could still be improvement as the industry progresses, particularly around metadata discovery. Regarding Data Hub's AI capabilities, it...
 

Also Known As

Alation
Acryl Data
 

Overview

 

Sample Customers

Salesforce, Snowflake, Citrix, eBay, TripAdvisor, Albertsons, Nasdaq, Pfizer, LinkedIn, Finnair.
Information Not Available
Find out what your peers are saying about Alation Data Catalog vs. Data Hub and other solutions. Updated: June 2026.
900,747 professionals have used our research since 2012.