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Data Hub vs VyOS Platform comparison

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Comparison Buyer's Guide

Executive Summary

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

Data Hub
Average Rating
8.2
Reviews Sentiment
4.8
Number of Reviews
22
Ranking in other categories
Metadata Management (4th), AI Observability (5th)
VyOS Platform
Average Rating
6.0
Number of Reviews
1
Ranking in other categories
Routers (15th)
 

Mindshare comparison

Data Hub and VyOS Platform aren’t in the same category and serve different purposes. Data Hub is designed for Metadata Management and holds a mindshare of 2.7%, up 1.1% compared to last year.
VyOS Platform, on the other hand, focuses on Routers, holds 2.3% mindshare, up 0.2% since last year.
Metadata Management Mindshare Distribution
ProductMindshare (%)
Data Hub2.7%
Collibra Platform17.1%
Informatica Intelligent Data Management Cloud (IDMC)11.2%
Other69.0%
Metadata Management
Routers Mindshare Distribution
ProductMindshare (%)
VyOS Platform2.3%
MikroTik Routers and Switches18.4%
Cisco Enterprise Routers16.7%
Other62.6%
Routers
 

Featured Reviews

Akashkhurana Hirana - PeerSpot reviewer
Senior Software Engineer 2 at Porch
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.
Borislav Andric - PeerSpot reviewer
IT Consultant at Navigator CORPORATION LLC
The product is free, and the initial setup is easy, but it is missing some features, and it is not stable
The product is missing some features. Some features are not implemented the way we expect them to be. The tool doesn’t have the same quality as other commercial vendors like Cisco. There were some problems with IPsec. For a long time, the tool did not support VTI tunnels. I also faced some problems with some specific networking solutions. I couldn’t set the source IP. I would like to have a hardware solution in the future.

Quotes from Members

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

Pros

"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."
"Acryl Data helps with processing large amounts of data as it is a very good tool that gives good flexibility to store a huge amount of data and is easier to use."
"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."
"Data Hub has positively impacted our organization by centralizing and co-locating all data through metadata, and we have made this our enterprise metadata catalog rather than having disorganized information across different teams."
"Data Hub has positively impacted our organization by reducing the knowledge transition period from three months to one month for new team members, enabling them to refer to the complete lineage without depending heavily on others, which is a substantial improvement."
"We made it a place where all stakeholders in our company could log in and see which data were used for which data marts, which column values meant for which definitions, and how they were measured."
"We have seen a return on investment from using Data Hub, as it saves our data governance team time by collating metadata and viewing the live data dictionary, and it is very helpful in building data quality for the company, leading to approximately thirty percent improvement in efficiency."
"Data Hub positively impacts my organization and clients by making it easier to search for data, facilitating collaboration, and helping save time."
"It is an open-source product."
 

Cons

"Additionally, Data Hub has a problem with column-level lineage support, especially regarding non-pro users or those without any plans."
"We are using the free version of Data Hub with Docker Compose, so it is somewhat difficult to find out the lineage."
"Data Hub can be improved since the version we have in our company does not support profiling for the table side."
"However, concerning data quality, it is not sufficiently equipped as it lacks components to evaluate the data quality level, which is a feature available in other data catalogs, indicating an area for improvement."
"The areas for improvement, in my opinion, are the initial setup and configuration that can be complex without prior experience, especially in large-scale environments."
"I chose seven out of ten because there are better catalogs available in the market that offer more features."
"Integrating Data Hub with our existing tools and systems was not very easy, which is why my rating is an eight."
"For improvements to Data Hub, I feel the security is a bit on the weaker side."
"The product is missing some features."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Outsourcing Company
13%
Construction Company
9%
Manufacturing Company
8%
Construction Company
25%
Comms Service Provider
11%
Financial Services Firm
11%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise7
Large Enterprise15
No data available
 

Questions from the Community

What needs improvement with Data Hub?
Data Hub can be improved with easy accessibility. I think integration with other environments is needed to enhance accessibility.
What is your primary use case for Data Hub?
My main use case for Data Hub is for data governance, specifically the use of data lineage and data catalog. I use Data Hub for data governance and data lineage in my day-to-day work by checking th...
What advice do you have for others considering Data Hub?
I do not have any advice to give to others looking into using Data Hub. I found this interview valuable and do not think anything needs to change for the future. My overall review rating for Data H...
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Also Known As

Acryl Data
No data available
 

Overview

Find out what your peers are saying about Collibra, Informatica, Alation and others in Metadata Management. Updated: October 2026.
920,769 professionals have used our research since 2012.