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 11.1% mindshare in the category. Matillion is ranked #9 in CDI , with an average rating of 8.0, and holds a 5.0% 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

1,471 Views
677 Comparison Views

100% willing to recommend

Matillion Data Productivity...

Read 28 Matillion Data Productivity Cloud reviews

3,821 Views
1,452 Comparison Views

92% willing to recommend

Collibra Catalog

Matillion Data Productivity...

Comparison Buyer's Guide

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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: August 2025).

Buyer's Guide

Metadata Management

August 2025

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Helped 868,029 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 (9th)

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 11.1%, up 10.4% compared to last year.
Matillion Data Productivity Cloud, on the other hand, focuses on Cloud Data Integration, holds 5.0% mindshare, up 4.0% since last year.

Metadata Management Market Share Distribution
Product	Market Share (%)
Collibra Catalog	11.1%
Informatica Intelligent Data Management Cloud (IDMC)	21.0%
Alation Data Catalog	15.5%
Other	52.4%

Metadata Management

Cloud Data Integration Market Share Distribution
Product	Market Share (%)
Matillion Data Productivity Cloud	5.0%
AWS Glue	15.3%
AWS Database Migration Service	11.9%
Other	67.8%

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

Jitendra Jena

Director Axtria - Ingenious Insights! at Axtria - Ingenious Insights

Easy integration and workflow proposals streamline processes

The predefined connectors eliminate the need to write code for connectivity. If you have a predefined connector, it is easy to use with plug and play functionality. The processing time and ease of use are significant benefits. As everyone is moving into AI integration, it will definitely help. When creating workflows, they can propose solutions directly.

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

"We have had no complaints about the stability."

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

"The workflows allow the creation of custom workflows based on needs."

"Collibra Catalog is simple to use and user-friendly for those who are not technically inclined since it is easy to find while also easy to see data lineage diagrams."

"The most valuable features of Collibra Catalog are its customizability and ease of use."

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

"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."

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

More Collibra Catalog pros

"Matillion ETL has great Git integration that is perfect and convenient to use."

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

"The predefined connectors eliminate the need to write code for connectivity; if you have a predefined connector, it is easy to use with plug and play functionality."

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

"It's highly scalable. It takes upon itself the Redshift scalability, so it's very good."

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

"The most valuable feature of Matillion ETL is its user-friendly graphical interface."

More Matillion Data Productivity Cloud pros

Cons

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

"There is an issue with Collibra Catalog's pricing model, especially for organizations with many databases, as the initial package comes with a limited number of connectors."

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

"If it can become more user-intuitive and work on integrating with communication platforms like Slack or Teams, it would significantly help business users."

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

"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."

More Collibra Catalog cons

"The product must enhance its near-real-time data capture feature."

"Matillion ETL should include more enhanced capabilities for extracting data from the SAP systems."

"While the UI is good, it could be improved in its efficiency and made easier to use."

"The improvement area could be possible if the tool provides better integration capabilities with other ecosystems, including governance tools or data cataloging tools, as it is currently an area where the solution is lacking."

"When using the SQL loader type there were not a lot of pre-processing features for the data. For example, if there is a table with twenty columns, but we only want to load ten columns. In that case, we can use a security script to select the specific columns needed. However, if we want to perform extensive pre-processing of the data, I faced some challenges with Matillion ETL. I did not encounter many challenges, but my overall experience is limited as I only have three years of experience."

"Scalability in Matillion Data Productivity Cloud has some limitations. Depending on the nature of data sets, volume, and mixture of different data, the scalability could be improved as manual code writing is still required."

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

"The tool's lineage is very weak."

More Matillion Data Productivity Cloud cons

Pricing and Cost Advice

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

"Collibra offers a per-user licensing model."

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

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

"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."

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

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

"It was procured through the AWS Marketplace because it keeps things simple. They offer retail-like checkout and bill through your existing Amazon Web Services account."

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

"The absence of licensing commitments makes it easy to experiment with the tool, and if we decide it's not suitable, we can simply stop the ETL instance and cease incurring charges."

"Matillion ETL has a pay-as-you-go pricing model of a few dollars per hour of runtime."

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

More Matillion Data Productivity Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

30%

Manufacturing Company

Computer Software Company

Government

Financial Services Firm

16%

Computer Software Company

15%

Manufacturing Company

10%

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Large Enterprise	9

By reviewers
Company Size	Count
Small Business	6
Midsize Enterprise	10
Large Enterprise	11

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?

The pricing is managed by the tooling team. The pricing is moderate, neither expensive nor cheap.

See all answers

What needs improvement with Matillion ETL?

The main areas for improvement are AI features and scalability.

See all answers

Comparisons

Palantir Foundry vs Collibra Catalog

Compared 21% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Collibra Catalog

Compared 20% of the time

Ab Initio Co>Operating System vs Collibra Catalog

Compared 13% of the time

Talend Data Management Platform vs Collibra Catalog

Compared 12% of the time

Denodo vs Collibra Catalog

Compared 9% of the time

More Collibra Catalog Competitors

AWS Glue vs Matillion Data Productivity Cloud

Compared 8% of the time

Azure Data Factory 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

Workato vs Matillion Data Productivity Cloud

Compared 5% of the time

More Matillion Data Productivity Cloud Competitors

Product Reports

Buyer's Guide

Collibra Catalog

September 2025

Download Collibra Catalog product report

Buyer's Guide

Matillion Data Productivity Cloud

September 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: August 2025.

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