We use Collibra Catalog for data catalogs, data classifications, and all aspects of data categorization. My focus is on metadata, particularly how easy it is to extract an application's metadata and integrate it into Collibra Catalog.
Collibra Data Intelligence Platform
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Collibra Is Great… But…
What do you like best about the product?
Business Term, Metrics and Reporting Catalog. We can now house this info in one platform vs our previous way of keeping data in Excel, Sharepoint slides, multiple areas. Our business users are pleased with the fact that they can now have one place to search for reports vs asking other business users - was very time consuming.
What do you dislike about the product?
The technical lineage views and diagram views are very confusing for users. It’s hard to view the end to end because of how many nodes there may be.
Confusing for users to understand business lineage vs technical lineage.
Confusing for users to understand business lineage vs technical lineage.
What problems is the product solving and how is that benefiting you?
Business units were struggling to find data and information. Collibra has helped by decreasing time between DG and business answering these questions since catalog is now available.
Developers would use metrics incorrectly because of different calculations but now have information available in Collibra on how and when to use metrics.
Users had to spend so much time searching for reports but can now search in catalog.
Lineage is helpful for developers when trying to understand source of information
Developers would use metrics incorrectly because of different calculations but now have information available in Collibra on how and when to use metrics.
Users had to spend so much time searching for reports but can now search in catalog.
Lineage is helpful for developers when trying to understand source of information
Great overall data cataloging tool
What do you like best about the product?
The search capability. It is so nice having the capability of global search and being able to find exactly what I’m looking for. It saves so much time.
What do you dislike about the product?
Data classification is not as sophisticated as I was led to believe. It appears to be column name and regex based. I thought it was more sophisticated and used AI to identify patterns, etc.
What problems is the product solving and how is that benefiting you?
We primarily use it to organize and classify all of our customer PII in support of our State Privacy (such as CCPA) programs.
Very intuitive product
What do you like best about the product?
Very intuitive and easy to be configured
What do you dislike about the product?
There are some missing but important functionalities without any reason
What problems is the product solving and how is that benefiting you?
Data documentation and lineage
Highly customisable. Good ingestion of metadata
What do you like best about the product?
Highly configurable tool. Create our own asset typesz their attributes and relationships.
The Edge ingest process is robust, and a quick way to bring in physical metadata from database and Bl platforms.
The Edge ingest process is robust, and a quick way to bring in physical metadata from database and Bl platforms.
What do you dislike about the product?
There's been a large turnover of contacts we deal with in a regular basis.
What problems is the product solving and how is that benefiting you?
Access provisioning, and governance of our data asset estate
Collibra in Practice: Governing Data at Scale
What do you like best about the product?
Centralized data governance: everything is consolidated in one place, which makes search, documentation, and traceability much easier.
Business glossary: extremely useful to align technical and business teams around a common language.
Customizable workflows: practical for managing validation steps and governance processes.
Integration with other tools (ETL, BI, technical catalogs, etc.): helps build a real ecosystem around data.
Customizable Metamodal: relationships between objects (datasets, reports, rules, policies, etc.): provides good visibility into the data value chain
Business glossary: extremely useful to align technical and business teams around a common language.
Customizable workflows: practical for managing validation steps and governance processes.
Integration with other tools (ETL, BI, technical catalogs, etc.): helps build a real ecosystem around data.
Customizable Metamodal: relationships between objects (datasets, reports, rules, policies, etc.): provides good visibility into the data value chain
What do you dislike about the product?
Apparent complexity in onboarding: significant improvements have been made with the new interface (the previous one was clearly outdated)
Configuration: extremely powerful, but can quickly become technical and somewhat rigid without expertise.
Configuration: extremely powerful, but can quickly become technical and somewhat rigid without expertise.
What problems is the product solving and how is that benefiting you?
I see Collibra as the enterprise-wide mega data catalog that brings together all glossaries and dictionaries, with clearly defined roles and responsibilities, and full integration of the data quality layer.
DQ Lead from an international corporation reviewing the Collibra DQ Rapid Start Experience
What do you like best about the product?
Scalability. Previously my organisation used stored procedures automatically triggered on a pipeline to analyse the DQ of data entering the data lake. This meant for every new rule we need to write a new stored procedure each time. Now I can create jobs with multiple rules (and use template rules) which is far quicker than before.
What do you dislike about the product?
The tool is quite buggy. I am not an infra expert but it seems every 2-4 weeks I have to engage premium support and my infra department to figure out why jobs are not running. Additionally I find when new releases happen there are often times bug fixed but also bug introduced, especially the most recent 2025.02 release.
What problems is the product solving and how is that benefiting you?
The DQ problem at my organisation was that we had no central system to use for DQ. There was no central process and all DQ activity was essentially reactive and ad hoc. However, now with Collibra this is not the case. We can proactively monitor DQ, have a central system where the datasets, rules and results are all in one place, I can provide access to different jobs and rules to different people.
The benefit to me is ease of use. As I mentioned we use to use stored procedures which required new stored procs being written for every new rule we wanted. Now I can do all of the above in one system which is scalable.
The benefit to me is ease of use. As I mentioned we use to use stored procedures which required new stored procs being written for every new rule we wanted. Now I can do all of the above in one system which is scalable.
Automated metadata management saves time and effort while ensuring high reliability
What is our primary use case?
What is most valuable?
Collibra Catalog allows us to automate metadata management, significantly saving time, effort, and finances. We connect Collibra to an application, enabling it to read and extract metadata, which is more efficient than manual processes. Additionally, Collibra Catalog is scalable and its servers have high uptime standards, making it reliable.
What needs improvement?
More automation and artificial intelligence involvement are necessary. Reducing required employee involvement and enhancing ease of use are vital. Users often find it challenging to utilize data governance tools, with ease of use ranked as an important criterion by 2028 standards.
For how long have I used the solution?
We have been using Collibra Catalog for more than a year.
What was my experience with deployment of the solution?
For Collibra Catalog, because it's a Software as a Service, it's easy. It takes no time to launch since it's just a subscription. However, configurations and customizing for business functions is where challenges arise.
What do I think about the stability of the solution?
There are no stability issues. The servers are very good, and the uptime standards are high, so it's always available, up and running.
What do I think about the scalability of the solution?
Collibra Catalog is scalable for our environment.
How are customer service and support?
I have contacted Collibra support, and I rate it an eight out of ten. The support is good but not fantastic.
How would you rate customer service and support?
Positive
How was the initial setup?
The setup technology-wise is very good. The problem lies in feeding the actual business data and ensuring it works as a process and workflow.
What's my experience with pricing, setup cost, and licensing?
Currently, the pricing is at an average market rate. However, there are plans to increase license rates. Overall, it is a reasonable and average rate.
What other advice do I have?
Users should focus on business-focused objectives and not go for large projects. Implement in iterations, prioritizing smaller items. I rate the overall solution eight out of ten.
Not just a governance tool
What do you like best about the product?
It is highly customisable and easy to implement. The support team is great
What do you dislike about the product?
Because of it's high customisation level we, as a company had to restrain ourself on what to use out of the box and what to build ourself
What problems is the product solving and how is that benefiting you?
It centralize information that were scatered in various sources. It put faces on technology, governance and data.
Rule modification and replication happen quickly but domain-based support could be more robust
What is our primary use case?
My domain is master data management. In master data management, basic data quality, lineages, rule profilings, and similar processes come under Collibra profiling. I use it for these purposes.
What is most valuable?
I find the rule modification and the replication of the rules in Collibra happens very quickly. This is one of the aspects I appreciate the most. Additionally, the data lineage and catalog features have improved significantly over the years. While they were not perfect three years ago, they are much more mature now and continue to grow each year.
What needs improvement?
The domain-based approach could be more helpful for aspects such as customer 360 and product 360. Moving towards this could create significant value.
For how long have I used the solution?
I have been working with Collibra for approximately four years.
What do I think about the stability of the solution?
I would rate the stability as eight out of ten.
What do I think about the scalability of the solution?
I rate scalability a six out of ten. There is some room for improvement in terms of scalability.
How are customer service and support?
I rate the technical support from Collibra as nine out of ten.
How would you rate customer service and support?
Positive
How was the initial setup?
The setup is very simple.
What's my experience with pricing, setup cost, and licensing?
The price is average, and it provides good value for the money.
Which other solutions did I evaluate?
The main competitors on the market that I consider are SAP and Informatica.
What other advice do I have?
Overall, I would rate Collibra Governance as a seven out of ten. I can recommend it to other users for sure.
Data Product creation
What do you like best about the product?
Creation of metadata repository which helps in data product creation which can be made ahoppable by using dataops methodology.
What do you dislike about the product?
At times you have to use custom connectors to connect to collibra as it doesn't supports direct connection with some tools.
What problems is the product solving and how is that benefiting you?
Creation of data products and making them ahoppable for the other users in the organisation.
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