Collibra Catalog vs Matillion Data Productivity Cloud comparison

The compared Collibra and Matillion solutions aren't in the same category. Collibra is ranked #3 in MM , with an average rating of 8.0, and holds a 11.8% mindshare in the category. Matillion is ranked #8 in CDI , with an average rating of 8.1, and holds a 3.4% mindshare. Additionally, 100% of Collibra users are willing to recommend the solution, compared to 92% of Matillion users who would recommend it.

Collibra Catalog

Read 11 Collibra Catalog reviews

1,495 Views
658 Comparison Views

100% willing to recommend

Matillion Data Productivity...

Read 27 Matillion Data Productivity Cloud reviews

4,084 Views
1,225 Comparison Views

92% willing to recommend

Collibra Catalog

Matillion Data Productivity...

Comparison Buyer's Guide

Download the report

Executive Summary

We performed a comparison between Collibra Catalog and Matillion Data Productivity Cloud based on real PeerSpot user reviews.

Find out what your peers are saying about Informatica, Alation, Collibra and others in Metadata Management.

To learn more, read our detailed Metadata Management Report (Updated: June 2025).

Buyer's Guide

Metadata Management

June 2025

Download the complete report

Helped 861,524 peers since 2012

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

Collibra Catalog

Average Rating

8.0

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

Metadata Management (3rd)

Matillion Data Productivity...

Average Rating

8.4

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

Cloud Data Integration (8th)

Mindshare comparison

Collibra Catalog and Matillion Data Productivity Cloud aren’t in the same category and serve different purposes. Collibra Catalog is designed for Metadata Management and holds a mindshare of 11.8%, up 10.2% compared to last year.
Matillion Data Productivity Cloud, on the other hand, focuses on Cloud Data Integration, holds 3.4% mindshare, down 4.3% since last year.

Metadata Management

Cloud Data Integration

Featured Reviews

Tejbir Singh

Engagement Manager at Fractal

Facilitates data quality monitoring and AI governance with a complete suite of tools

When I initially started with Collibra, it was just a data cataloging platform with governance workflows around it. Now they have acquired a lot of other tools, or they have merged or acquired different platforms. It is a complete suite of tools for managing data. We can monitor data quality and take actions on the profiling results obtained by running data quality checks. Collibra helps catalog data assets, monitor the health of data assets, and take necessary actions. If we find data quality issues, it also provides a medium to capture those issues and how to remediate them. The workflows allow the creation of custom workflows based on needs. The newest addition in their tool suite is AI governance, which allows cataloging all AI models currently deployed or even in the pre-production stage. It helps document model meanings and the risks involved, thus managing all risks related to AI deployments.

Read full review

Tomáš Hronek

Data Engineer at Merck

Used for wrangling or transforming data from sources like S3 and Databricks

I use Matillion ETL for wrangling or transforming data from sources like S3 and Databricks The most valuable feature of Matillion ETL is the UI experience in which you can drag and drop most of the transformation. Sometimes, we have issues with the solution's stability and need to restart it for…

Read full review

Quotes from Members

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

Pros

"Using lineage and Collibra Catalog has helped me overall improve the trust and transparency regarding data origin and transformation."

"The data lineage capability is valuable as it shows how different sources are connected and how data flows, which is crucial for projects like migrations. Moreover, data lineage visualization in Collibra Catalog aids our data governance initiatives."

"Collibra Catalog's best feature is the data quality checker."

"Collibra Catalog has significantly enhanced data governance and compliance for our team, primarily through its valuable feature of endpoint lineage enabling visual representation of the data."

"We have had no complaints about the stability."

"Collibra Catalog allows us to automate metadata management, significantly saving time, effort, and finances."

"Except for data quality, everything is perfect."

"Gartner identifies Collibra Catalog as the leader, which aligns with our observations."

More Collibra Catalog pros

"It's been able to do everything we require."

"The loading of data is the most valuable feature of Matillion ETL."

"Matillion's technical support is excellent."

"The tool's middle-dimensional structure significantly simplifies obtaining the right data at the appropriate level. This feature makes deploying our applications easier since we utilize a single source without publishing data from various sources."

"The new version with the Productivity Cloud is very simple. It's easy to use, navigate, and understand."

"The technical support treats us well. They already have a support portal, and they are responsive, which helps."

"The simplicity of this tool is nice. It has a good graphical user interface. You can also do a lot of generic stuff in the tool. If there is good connectivity to a cloud database, such as Snowflake, and you can have a lot of Snowflake functionality in the tool."

"The most valuable feature of Matillion ETL is the UI experience in which you can drag and drop most of the transformation."

More Matillion Data Productivity Cloud pros

Cons

"More automation and artificial intelligence involvement are necessary. Reducing required employee involvement and enhancing ease of use are vital."

"If the price is a bit reduced, that would be better."

"One of the very key drawbacks is that automation for access provisioning is not available. If I discover a data set or data product in the marketplace and want to access the data, this feature doesn't exist at all."

"The tool's overall functionalities need to improve since, nowadays, many tools, from a business perspective, are easy to use."

"In Collibra Catalog, the main area that has room for improvement is the search functionality. It should be more natural language oriented instead of searching for exact names."

"A key area for improvement in Collibra Catalog lies in its integration capabilities, particularly with a broader range of sources."

"I'd like to see more integration with other reporting sources."

"Collibra Catalog could improve its automation to increase the efficiency of the software."

More Collibra Catalog cons

"There are problems with GCP connectivity. Specifically, connections to BigQuery for extracting information are complex, and the optimization of the extraction process requires improvements."

"Performance can be improved for efficiency, and it can be made faster."

"The tool's lineage is very weak."

"Unlike Snowflake which automatically takes care of upgrading to the latest version and includes additional features, with Matillion ETL we need to do this ourselves."

"It needs integration with more data sources."

"The product's scalability needs improvement. Perhaps adding more connectors would be beneficial."

"To complete the pipeline, they might want to include some connectors which would put the data into different platforms. This would be helpful."

"The current version is a bit more limited because it's on a virtual machine, and everything executes on that one virtual machine."

More Matillion Data Productivity Cloud cons

Pricing and Cost Advice

"Collibra Catalog is fairly priced - I would rate their pricing seven out of ten."

"Collibra offers a per-user licensing model."

"I think they can bring a few more features and align better with other quality products."

"The product is highly priced compared to other vendors."

"The AWS pricing and licensing are a cost-effective solution for data integration needs."

"A rough estimation of the cost is around 20,000 dollars a month, however, this is dependent on the machine used and how Matillion ETL is used."

"The solution is very cheap. You're paying $2.50 an hour and if you set your service up, which you can do, you're not getting charged. Currently, our ETL process is just an overnight process that runs for about an hour. I can start and stop my server just for an hour if I want to and spent $2.50 a day for an ETL solution. There are no additional costs."

"I think it is cost conscious. It used to be very cheap and they have more recently bumped up the pricing, so it is competitive now."

"It was very easy to purchase through the AWS Marketplace, but it was also expensive."

"The product must improve its pricing."

"The cost of the solution is high and could be reduced."

"It is not necessarily a cheap solution. However, it's reasonable priced, especially with the smaller machines that we run it on."

More Matillion Data Productivity Cloud pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Metadata Management solutions are best for your needs.

See recommendations

861,524 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

30%

Computer Software Company

Manufacturing Company

Government

Financial Services Firm

20%

Computer Software Company

15%

Manufacturing Company

Energy/Utilities Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about Collibra Catalog?

The data lineage capability is valuable as it shows how different sources are connected and how data flows, which is crucial for projects like migrations. Moreover, data lineage visualization in C...

See all answers

What is your experience regarding pricing and costs for Collibra Catalog?

Pricing is not under my purview as I am an architect. The platform team handles the licensing aspects.

See all answers

What needs improvement with Collibra Catalog?

I have utilized the sophisticated search capability in Collibra Catalog, and it can be improved by implementing more natural language search capabilities. Currently, we need to enter the asset name...

See all answers

What do you like most about Matillion ETL?

The new version with the Productivity Cloud is very simple. It's easy to use, navigate, and understand.

See all answers

What is your experience regarding pricing and costs for Matillion ETL?

While pricing can be an issue compared to other solutions, Matillion Data Productivity Cloud offers discounts and special deals, especially when dealing with high-volume clients or fewer existing c...

See all answers

What needs improvement with Matillion ETL?

There are problems with GCP connectivity. Specifically, connections to BigQuery for extracting information are complex, and the optimization of the extraction process requires improvements. I raise...

See all answers

Comparisons

Informatica Intelligent Data Management Cloud (IDMC) vs Collibra Catalog

Compared 22% of the time

Palantir Foundry vs Collibra Catalog

Compared 18% of the time

Ab Initio Co>Operating System vs Collibra Catalog

Compared 15% of the time

Talend Data Management Platform vs Collibra Catalog

Compared 12% of the time

Denodo vs Collibra Catalog

Compared 10% of the time

More Collibra Catalog Competitors

Azure Data Factory vs Matillion Data Productivity Cloud

Compared 12% of the time

AWS Glue vs Matillion Data Productivity Cloud

Compared 10% of the time

SSIS vs Matillion Data Productivity Cloud

Compared 7% of the time

Oracle Data Integrator (ODI) vs Matillion Data Productivity Cloud

Compared 6% of the time

SnapLogic vs Matillion Data Productivity Cloud

Compared 6% of the time

More Matillion Data Productivity Cloud Competitors

Product Reports

Buyer's Guide

Collibra Catalog

July 2025

Download Collibra Catalog product report

Buyer's Guide

Matillion Data Productivity Cloud

June 2025

Matillion Data Productivity Cloud report

Download Matillion Data Productivity Cloud product report

Also Known As

No data available

Matillion ETL for Redshift, Matillion ETL for Snowflake, Matillion ETL for BigQuery

Overview

Collibra Catalog is both a report and a data catalog that helps analysts and information users spend less time looking for essential clinical, financial, and operational data and more time solving critical business challenges.

Collibra

Matillion Data Productivity Cloud features an intuitive graphical interface, seamless AWS integration, and efficient data management. Its tools streamline complex tasks for SFDC, RDS, Marketo, Facebook, and Google AdWords.

Matillion Data Productivity Cloud provides fast transformations with built-in verification, easy scheduling, and sampling. With automatic scalability and diverse data source support, it simplifies complex data tasks. Users benefit from cloud data warehousing and integrating data into Snowflake while appreciating its ease of use by non-technical teams. Enhancements can focus on frequent API adjustments, improved documentation, faster performance with less latency, and better error handling.

What are the key features of Matillion Data Productivity Cloud?

User-Friendly Interface: Simplifies interaction for non-technical users with a graphical interface.
Seamless Integration: Works smoothly with AWS, SFDC, RDS, Marketo, Facebook, and Google AdWords.
Automatic Scalability: Efficiently manages varying workloads with scale-up and down capabilities.
Efficient Data Handling: Streamlines transformations, scheduling, and sample data verifications.
Diverse Data Source Support: Easily integrates multiple data sources for streamlined processes.

What benefits and ROI should users seek in reviews?

Ease of Use: Reduces complexity for non-technical teams with intuitive operation.
Performance Efficiency: Fast data processing and transformations enhance productivity.
Cloud Compatibility: Supports integration with cloud platforms for versatile data solutions.
Time-Saving Scheduling: Automates data tasks, allowing users to focus on other priorities.
Scalability: Automatically adjusts to workload needs, optimizing resource use and cost.

In industries such as technology, finance, and healthcare, Matillion Data Productivity Cloud is implemented to streamline ETL processes, optimize data pipeline construction, and enhance data migration efforts. It supports efficient data loading and integration between cloud and on-premises databases, aiding industries in managing data-driven projects.

Matillion

Sample Customers

AXA XL, DNB, Adobe, PMI, Holland America Line, UC Davis Health, Cox Automotive

Thrive Market, MarketBot, PWC, Axtria, Field Nation, GE, Superdry, Quantcast, Lightbox, EDF Energy, Finn Air, IPRO, Twist, Penn National Gaming Inc

Find out what your peers are saying about Informatica, Alation, Collibra and others in Metadata Management. Updated: June 2025.

DOWNLOAD NOW

861,524 professionals have used our research since 2012.

We monitor all Metadata Management reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.