It enables data governance with customizable workflows and effective customer support
What is our primary use case?
I used Collibra Catalog primarily for cataloging all the assets. We created data dictionaries by ingesting data from multiple databases into Collibra Catalog and setting up workflows for review and approval processes.
What is most valuable?
The most valuable features of Collibra Catalog are its customizability and ease of use. We created data dictionaries both by ingesting our database structures and for non-database sources. We also set up different communities, defining ownership and stewardship with customizable workflows.
What needs improvement?
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. This can lead to manual efforts to connect more databases, increasing costs. It would be beneficial if they offered more connectors as part of the initial package.
For how long have I used the solution?
We used Collibra Catalog as long as we had Collibra, starting from when we began cataloging all our assets.
What do I think about the stability of the solution?
I did not have any issues with the stability of Collibra Catalog.
What do I think about the scalability of the solution?
Collibra Catalog is quite scalable. We were a big bank and had thousands of assets without any issues.
How are customer service and support?
When using the Collibra Resident Architect program, the customer service was excellent, with issues quickly resolved. Without the program, the support was decent, with response times of 24-48 hours. Sometimes the support was useful, and sometimes it was not.
How would you rate customer service and support?
Which solution did I use previously and why did I switch?
My company initially used Collibra, but after being acquired by BMO, which had a contract with Informatica, we had to switch. BMO had recently renewed their contract with Informatica, which led to letting go of Collibra.
How was the initial setup?
The initial setup was straightforward with the involvement of our IT team. It is important to have a Collibra Resident Architect for a successful implementation, which we found more effective than hiring external contractors.
What about the implementation team?
We used the Collibra Resident Architect program instead of hiring contractors. This was a cost-effective approach, and it was extremely beneficial to have a knowledgeable Collibra employee assist with setup and configuration.
What's my experience with pricing, setup cost, and licensing?
The pricing for Collibra was good since we did not have many add-ons. However, adding modules like Privacy could become expensive. The value is still greater when considering the cost of customizing other tools.
Which other solutions did I evaluate?
I have experience comparing Microsoft Purview and Data Hub alongside Collibra. Collibra is favored for governance, while Purview, integrated with Azure, is a better fit for engineers than business users.
What other advice do I have?
I would definitely recommend Collibra Catalog to others. Of all the catalogs I've used, Collibra stands out as being more of a full tool for governance. As long as Collibra can connect to your databases, it cannot be easily beaten. I rate the overall solution an 8 out of 10.
Collibra - Metadata Management Experience
What do you like best about the product?
Integration Capabilities: Collibra supports integration with modern database systems like Snowflake, Tableau and SQL Server, making it versatile for various data environments. We are focusing on maximizing its value to create a unified enterprise platform for the agency.
What do you dislike about the product?
Depending on the organization's size and needs, the pricing may be a consideration for some users. Also, minimum guidelines around edge installation on multi- cloud platforms.
What problems is the product solving and how is that benefiting you?
Create internal/operational efficiencies to eliminate data siloes
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.
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
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.
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
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.
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.
Automated metadata management saves time and effort while ensuring high reliability
What is our primary use case?
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.
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?
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.