Collibra Data Intelligence Platform

I work as a data consultant for IBM Bluetab company, and my role involves data analysis, data engineering, and conveying messages in terms of research and reports.

I have been using Collibra Platform  for over two years, and I find the platform to be very unique in terms of data governance, as it is very aligned to most of my needs.

I use Collibra Platform  primarily for searching domains and all information from my data catalog. Currently, we are in the process of migrating databases from Oracle to Azure . I type mostly definitions, check who has ownership of a field or domain, and search for categories when I need to find similarities between one data warehouse and another type of database. I use the artificial intelligence tool set to receive hints on words and make traceability of where certain data could be located. I use most of those cases.

A specific example of how I used Collibra Platform recently involves traceability needs. The platform allows me to input information regarding where a certain field within a table begins, and then I need to understand what the equivalent is in another database. I typically search for the name I already have in mind, from which I can see details about ownership, the tables it is linking in that position, and check definitions. I get everything summarized in tables and can also see more details about the parent table and relative tables, so I could benefit from the diagrams they offer.

I have additional insights about how I use Collibra Platform in my work. For example, when I know the term but specifically need to get more insights about what could be the next definition deriving from this term, it would be great if I could get suggestions from the formation of two terms so I would not need to search in other places.

The best features Collibra Platform offers, in my opinion, include the ability to search deeply. If I have a term and I select it, I can see all the data governance utilities in terms of ownership, definition, and whether this data is considered to be private or public within my organization, as well as all the key information. For reports, if I have the domain for certain data and think it may be incomplete, I can upload a spreadsheet and update it within the platform. This information is very useful to my work.

Out of those features, I find myself using the feature of converting my domains into smaller views and getting more insights about the origin of a certain field within a table the most. It is having a broad view but also having a connection with a specific view at the same time, which helps me have a smoother traceability process.

Collibra Platform has impacted my organization positively. The main benefit is that we now have our best catalog organizer. Since we moved from one type of database that was mostly relational, we are now able to see other types of structures, and we can actually use spreadsheets, tables, and other types of information that could be generated from them.

The AI hints could be something that would be very useful. If I have to think about something else, I see potential in working with other external platforms like Databricks . Inside of any platform, I could actually get to the definition, for example, inside of Databricks , or if I am inside of Collibra Platform, I could get snippets of the code, something related to this interdisciplinary work. I could also get a plugin version with other types of platforms.

Collibra Platform could be improved, particularly the AI platform, which at the end of the day needs to be very tailored and very specific to my cases.

User integrations could be very useful to see how the work could also be linked to other platforms, so I would really like to see that.

I would rate Collibra Platform a nine out of ten so far, as it has been really useful for my case.

I chose a nine out of ten because it is not fully integrated with other platforms at the moment. I think that is what needs to be improved.

My advice to others looking into using Collibra Platform is that they can start ahead with the platform. It is very intuitive and has everything that you need regarding data governance, especially if you want to aim for traceability purposes. I give Collibra Platform an overall rating of nine out of ten.

My main use case for Collibra Platform, previously from 2023, is supporting data governance and data cataloging. I use it to help structure and maintain business terms, data standards, business rules, data dictionary, and ownership or stewardship information. This mainly supports my work from a domain experience perspective. More recently, I use Collibra Platform from a managed services perspective, primarily for operational support, monitoring, connector health, release follow-up, monthly service reporting, and related activities.

From a managed services perspective, my focus with Collibra Platform is on keeping the platform stable and ensuring that the client has clear visibility into how the service is performing. This includes monitoring platform availability, checking connector health, following up on Collibra Platform releases and updates, supporting incidents or service requests, and preparing monthly service reporting. The reporting typically includes uptime, connector status, known issues, incidents, changes, upcoming releases, or relevant platform updates. My work is less about creating governance content day to day and more about operational support, service quality, and ensuring that Collibra Platform setup continues to run smoothly. I maintain the platform in the managed services phase, so recently I made a minor tweak in a workflow by changing some logic based on the client's request.

One aspect of my use cases with Collibra Platform is that I work with it as a bridge between business and IT. I focus not only on the technical setup but also on how the content, roles, responsibilities, and reporting support business users. I work with business terms, standards, rules, data ownership, workflows, and data quality visibility, as well as more operational topics such as environments, release monitoring, and service reporting. This combination helps me understand both how business users utilize Collibra Platform and how it needs to be supported from a service perspective.

Collibra Platform offers numerous features, and recently I have been looking into the AI agent feature. The strongest features for me are the Data Catalog, Business Glossary, workflows, and the operational model behind roles and responsibilities. The Data Catalog is valuable because it gives users a central place to find and understand data assets instead of relying on scattered documentation or asking different people where something is stored or used. I actively use the DataBricks Unity Catalog integration, which works very well for our organization. The Business Glossary is important because it helps align business and IT around the same definitions, which is especially useful when different teams use the same term in slightly different ways. Workflows stand out because they help standardize governance processes, such as approvals, issue handling, and creation of new terms and assets, making the process more controlled and less dependent on individuals. The operating model is a key strength because Collibra Platform allows you to connect data assets with owners, stewards, responsibilities, policies, different standards, and rules, which gives better visibility to who is accountable for what and how data should be governed, ultimately giving maturity to the company and easing the work.

Collibra Platform has had a positive impact on structure, transparency, and alignment around data in my organization. One clear improvement is that business definitions, standards, business rules, and ownership information can be kept in one central place. This makes it easier for business and IT teams to use the same language and understand who is responsible for which data. It also improves visibility since users can better understand what data exists, what it means, where it is used, and which governance rules apply. From a support perspective, it helps because I can monitor the platform, follow up on connectors and releases, and provide clear monthly reporting. Overall, the biggest benefit is that Collibra Platform helps move data governance from scattered documents and informal knowledge into a more structured and controlled platform.

I am exploring the AI agent and AI governance features in more depth, as I believe there is considerable room for improvement in those areas, and they will generally enhance all features.

A few areas where I think Collibra Platform can improve include user experience. Collibra Platform is very powerful, but for new or occasional users, it can feel complex. It takes time to understand the structure, roles, asset types, relationships, and where to find the right information. A simpler and more guided user experience would help adoption, possibly supported by AI agent introduction. Another area is reporting; Collibra Platform contains a lot of useful information, but creating clear operational or management-level reporting is not always straightforward. It would be helpful to have easier out-of-the-box dashboards for things such as adoption, data ownership, and workflow progress. For integrations, they bring a lot of value, but they require careful setup, monitoring, and troubleshooting. Overall, Collibra Platform is strong.

I have been using Collibra Platform for around two years. Most of my hands-on experience was between 2023 and 2025, and I have been using it again over the last two months.

The performance and reliability of Collibra Platform is excellent since we use the SaaS cloud offering. I communicate with Collibra Platform's support team, which provides the platform, and the experience is outstanding with approximately 100 percent availability. Any small drops are usually maintenance hours that occur outside of work hours. Collibra Platform is stable based on my experience.

The scalability of Collibra Platform, from my experience, is good, especially because it is a cloud-based SaaS platform that supports separate environments such as development and production. It can handle growth in users, assets, metadata, and integrations, but it requires good governance and administration. For example, as usage grows, you need to manage roles, permissions, ownerships, assets, workflows, and integrations carefully. If the operational model is not well maintained, the platform can become difficult to navigate, even if the technical platform can scale.

My experience with customer support for Collibra Platform is generally very positive. Collibra Platform's support team can help with platform-related questions, and I use their services frequently regarding uptime reports. They provide quick and high-quality responses.

I would rate customer support for Collibra Platform at ten out of ten based on my experience. I have not had any complex tasks; my interactions were mainly about reporting and uptime, so I did not have an opportunity to communicate with them on more complex issues. However, from what I hear from my colleagues, they also have a very positive experience.

I have not personally led a formal migration from another dedicated data governance platform to Collibra Platform. Before Collibra Platform, governance information was typically managed in a more manual or scattered way. Collibra Platform provides a more structured and centralized platform for the purposes it serves. I have not used any dedicated governance tool before; the experience was more about partial governance inside other tools. I used different MDM tools that have some data governance capabilities, but it is nothing close to Collibra Platform.

I do see a return on investment with Collibra Platform, but I would describe it more in terms of efficiency, transparency, and risk reduction rather than exact financial numbers. Collibra Platform saves time because users can find business definitions, ownership information, and related assets in one place instead of searching through different documents, emails, or asking multiple people. It reduces rework and misunderstandings between business and IT. From a managed service perspective, the return on investment is also in better operational control. I cannot provide an exact figure such as money saved or employees reduced, but the value is visible in better data understanding, faster communication, fewer misunderstandings, and stronger governance control.

My advice for others looking into using Collibra Platform would be to start with a clear governance model before configuring too much into Collibra Platform. Collibra Platform is a very flexible platform, which means you need to define your business model, how it should work, and carefully define your communities, domains, asset types, ownership model, roles, responsibilities, and workflows from the beginning. If the structure is not clear, the platform can become very difficult for users to understand. I also recommend starting with some practical use cases and not trying to implement everything at once, such as a business glossary, key data assets ownership, and a few important workflows, then expanding gradually. Training is also important because business users, data stewards, and administrators need different levels of training as they use the platform in different ways. I would rate this review at eight out of ten overall.

My main use case for Collibra Platform  is for data governance use cases.

I use Collibra Platform  for automated data cataloging and automated data classification of physical data, which has made a significant difference in our processes.

In addition to data governance workflows, Collibra Platform is beneficial for other processes and departments involved in the governance efforts.

Collibra Platform's best features include guardrailed governance workflows, data classification, and cataloging.

I help organizations uplift their data governance using Collibra Platform, which has positively impacted our organization.

I have definitely noticed improvements in transparency for audits, compliance, and improvements in efficiency when it comes to ways of working, such as the migration of reports onto the cloud.

Collibra Platform could be improved as it is somewhat too flexible, allowing for so much customization that it becomes very complex without sufficient controls in place.

While onboarding is adequate, the real struggle is getting users engaged in the platform, especially when there is a considerable amount of information available, which can be sparse at the beginning of an implementation and may cause users to lose confidence.

I have been using Collibra Platform for about two years.

Collibra Platform is stable.

Collibra Platform's scalability is very good.

Customer support is average in my experience.

I did not previously use a different solution.

I think it takes quite a lot to confirm whether there is a return on investment with this type of tool.

My experience with pricing shows that it is a very expensive subscription, and the licensing model means that any additional functionality is often fairly expensive.

I looked at Atlan  and Coalesce before choosing Collibra Platform.