Collibra Data Intelligence Platform

My main use case for Collibra Platform is data lineage and data traceability, as it has extensive functionalities around those tasks.

Collibra Platform is particularly powerful for enterprise data governance. Currently, my company is undergoing a migration process between one database and another, so we use Collibra Platform mostly for data governance tracking.

When we need to find equivalences between one data platform and another, we can search among data sets and metadata. We can also assign ownership or stewardship.

Collibra Platform offers an intuitive user interface that allows you to navigate easily even without prior experience. The API functionality for ingesting metadata is also part of the core features.

When I need to register data sets manually, I can input API credentials and create BigQuery tables, modify schemas, and manage the records of every table through the API. Collibra Platform's APIs are very well documented, which makes the process smooth and motivates me to collaborate more.

Collibra Platform has impacted my organization positively because it provides comprehensive data governance functionalities for enterprises. It centralizes policies, ownership, business definitions, and rules, resulting in fewer inconsistencies and standardized terminology across the organization.

Collibra Platform could be improved by enhancing the user interface with artificial intelligence implementation that could suggest words as I type. Most platforms from other domains already offer this feature, and I think it would be valuable.

Overall artificial intelligence capabilities make a significant difference because they can reduce the time invested in typing.

Regarding the accuracy and reliability of output for Collibra Platform's AI capabilities, there is room for improvement by expanding the number of use cases. The platform is functioning adequately now but could perform better.

I have been working in my current field for over two years.

Collibra Platform is stable, and I have not encountered any errors so far.

In terms of scalability, I would rate it a solid eight, though I am not certain about all the implications since my role is focused on analysis.

I have not personally used customer support, but based on the written documentation, it appears to have gone successfully, though it could still be improved.

Before Collibra Platform, we used Google Spreadsheets or Excel files to track data lineage. It is beneficial now that we are using this automated platform instead.

Even though I cannot estimate the cost, the time saved is significant because we no longer spend time tracking where the data originated. We can go directly to the portal and see the specific source from which the data came.

I did not have to worry about pricing, setup cost, or licensing because my organization provides Collibra Platform as a tool.

I did not evaluate other options before choosing Collibra Platform because I wanted to start with it from the beginning, as it is very convenient.

I recommend that others use Collibra Platform, as it is a platform that combines many functionalities and handles the security aspect thoroughly.

Artificial intelligence is one of the main reasons I continue to use Collibra Platform, and while it could certainly be improved, I encourage the team to maintain this direction for customer satisfaction. I give this platform a rating of nine out of ten.

Collibra Platform is used for data governance, bridging business and technical data. I used Collibra Platform to import metadata from GCP projects by utilizing Collibra import APIs.

Importing metadata from GCP projects helps to make data accessible for everyone at the company so that they can use this data because they have information about metadata.

Collibra Platform offers features such as Collibra lineage, Collibra sampling, and bridging business objects and technical data, which really stand out to me.

Collibra lineage helps us to understand where the data comes from and is used to understand the lineage of the data. Sampling also helps to get an idea of the data.

Collibra Platform has positively impacted my organization by increasing data usage and helping teams build data products. Faster access and easy accessibility contributed to how data usage increased.

The UI of Collibra Platform can be improved, as can some APIs such as the import API.

Improving the UI and documentation would bring it closer to a perfect score for me, making it more accessible.

I have been using Collibra Platform for two years.

Collibra Platform is adequate in terms of stability.

Collibra Platform's scalability is adequate.

Customer support for Collibra Platform is adequate overall.

We did not previously use a different solution.

I do not have metrics regarding a return on investment.

I have no experience with pricing, setup cost, and licensing because I was not in charge of that.

I do not know if we evaluated other options before choosing Collibra Platform.

I would advise others looking into using Collibra Platform to get some training and develop a culture around data governance.

I have no idea about Collibra Platform's AI capabilities regarding governance and security because I have not used it yet. I have no experience with Collibra Platform's AI capabilities related to the accuracy and reliability of output.

I gave this review a rating of 7.

My main use case for Collibra Platform is data cataloging as well as AI governance.

In my day-to-day work, I connect with data sources such as Snowflake and a variety of data sources like Hive, and then use the metadata to define the data dictionary, while also using Collibra Platform to define the business glossary and tie it up with the metadata so that any user logged in can understand what the data describes. For AI governance, I have a lifecycle where the user submits a workflow to get approved for their AI use case, and then I use that workflow to analyze the use case and the associated data, completing a data quality check using Great Expectations before approving the use case if there is no risk associated with the data. I use Collibra Platform for both AI governance and data catalog.

Unique to my organization is the data cataloging part and Edge; I use Edge of Collibra Platform to connect to different inbuilt data sources.

The best features Collibra Platform offers include data cataloging and a variety of APIs, allowing me to use Python and REST API to export or import data within Collibra Platform, and there is a lot of documentation available, along with fantastic support from Collibra Platform which helps whenever I encounter issues.

The documentation is clear and helpful, and it is easy to integrate with other tools using Collibra Platform's APIs. For example, I did an integration with Databricks to Collibra Platform to get all the assets from Collibra Platform, and it was very easy.

It is easy to define the business glossary in bulk with Collibra Platform, as I use Excel export to bulk create business glossaries, making it easy to tag, and the workflow capabilities are excellent, getting assigned to users when the workflow starts and making it easy to manage and track workflows from end to end.

Collibra Platform has positively impacted my organization by removing silos in AI governance, as prior to introducing Collibra Platform's workflow, processes were messy and done in silos; after introducing Collibra Platform, the process is thorough and significantly reduces my organization's risk.

Collibra Platform could be improved regarding data quality, as the rules cannot be defined as easily as in other tools.

The user interface is very good and convenient, with no additional improvements needed.

I have been using Collibra Platform for three years.

Collibra Platform is stable in my experience.

The scalability of Collibra Platform is good.

Customer support is excellent from Collibra Platform.

Onboarding new users to Collibra Platform is easy; even non-technical users can navigate it effectively, as the documentation is sufficient, and users can also attend training sessions through the university for additional support.

Data lineage is easy to track and understand with Collibra Platform because it establishes complex relationships between each hop using an automated tool called Lineage Harvester, which connects with the database and establishes lineage between hops.

Collibra Platform uses SSO for login and manages access control, providing full access to admins while restricting access for data stewards, data quality analysts, data analysts, and technical stewards, ensuring that everyone has only the required access and there are granular permissions available.

Collibra Platform manages metadata effectively, making it easy to update, search, and maintain metadata across my data sources.

Collibra Platform supports collaboration between different teams or departments through workflows that assign tasks to specific teams or individuals, with automatic reminders sent from Collibra Platform until tasks are completed.

My advice for others looking into using Collibra Platform is that it is excellent for those needing AI governance, data cataloging, and automated data lineage—definitely consider it. I rate this product a ten out of ten.

Collibra Platform is used for data cataloging, business glossary, data lineage, DQ integration, workflow automation, custom workflow automation, policy and governance management, role-based access, and stewardship workflows.

My day-to-day use of Collibra Platform involves working on the glossary, working on the lineage, developing custom workflows according to requirements, and aligning the whole process according to business needs.

My day-to-day use cases include asset approval workflows, triggering workflows for business users for bulk approval of their assets, change management, and the associated approval processes. Connectivity and metadata ingestion are also part of my day-to-day work.

Collibra Platform's best features are data cataloging, the glossary view, and the lineage part from both the data asset side as well as the business asset side. Collibra Platform's data quality integration is now bug-free, and I am currently using it to bring in DQ scores from the data quality side to the DIC, which is fully integrated and working well.

Automated workflows are an interesting part of Collibra Platform, providing flexibility, a very good user experience, and a nice dashboard to present. Collibra Platform's automated workflows have helped my team with a wide variety of integrations available out-of-the-box, including Snowflake, Power BI, Informatica, and other JDBC databases.

As a result of using Collibra Platform, I have access to many metrics regarding company internal policies, including the golden rules, their expiry, and everything which provides a better view of which assets are policy compliant. This is measurable and helps me understand which policies govern which data assets, their expected expiry dates, and reapproval needs. The quality of data, critical data elements, and personal identifiable information are also classified for improving the accuracy of data.

Collibra Platform has achieved improved data discoverability and governance standardization with reduced manual efforts and better compliance visibility. Collibra Platform delivers value that is more operational and strategic rather than immediate cost savings, with faster data discovery and reduced analyst effort, as well as better audit and compliance readiness.

Some improvements needed for Collibra Platform are minor fixes, as the major ones have already been addressed. I encounter some hidden out-of-the-box domains that are not easily configurable. Giving access to users would be helpful, and introducing more customization options for integration and other selections would also be beneficial. Collibra Platform is currently working on technical lineage, but I have not seen the latest updates.

I have been working in my current field for around three years and nine months.

Collibra Platform is pretty much stable in my experience.

Collibra Platform is highly scalable, with people using it day by day and different business units creating their own views to utilize the platform. The permission structure that has been introduced allows setting up domain permissions for the various business units in my organization.

Customer support for Collibra Platform is slightly different. For premium support, if I pay extra, they provide a very good and quick response. For normal users, the turnaround time is around 24 hours, which is also good.

I started with Collibra Platform from the initial implementation and did not previously use a different solution.

I believe the pricing, setup cost, and licensing were discussed by my CEO with Collibra support, and we did not openly discuss it among ourselves.

I did not evaluate other options before choosing Collibra Platform as I directly joined the company with experience in Collibra and began working with this platform for data governance.

Automated workflows are beneficial because when metadata ingestion takes place, I need approvals to be triggered automatically. If there is a refresh in a particular schema, it should go through the approval process for the candidate one. If any asset goes missing from the source, those should be obsoleted. This is how automated workflows have helped my team manage a large amount of data and metadata.

My advice for others looking into using Collibra Platform is to adopt the cloud setup for both the DQ and DIC instead of just the DIC. Using both on your own premises keeps everything under your organization's control, including the database and security.

I have covered everything I wanted to say regarding Collibra Platform, and I would rate this review as a 9 out of 10.

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.

My main use case for Collibra Platform is the Collibra Catalog for metadata management. Data classification and metadata management, both technical and business metadata management, are my primary use cases. I use Collibra Catalog for metadata management to import technical metadata from our schemas, and we ensure that the tags are applied for sensitive data and financial data. We also leverage automated workflows.

The best features that Collibra Platform offers are data classification and automated data tagging, specifically the data classification of financial and sensitive data, and the automated workflows that can connect to any platform, such as Teradata or Hadoop, to extract the technical metadata, which is very useful for our use cases for the business users.

The automated workflows help my business users specifically because we are migrating from our legacy system over to the cloud, Google Cloud Platform, and by leveraging these automated workflows, we can bring in a lot of technical metadata over to Collibra and at the same time onboard our business users. Collibra Platform offers a very customized user interface, making onboarding easy for us. Report generation was leveraged and was easy for the business users, and the end-to-end lineage was a significant differentiation that Collibra Platform offered, which was beneficial for our end users.

Collibra Platform has positively impacted my organization in all the ways I mentioned, as the benefits and user adoption for different data stewards and data custodians were easier because it has a very nice GUI. In real time, we can import a lot of metadata from different databases and even the cloud platform, which made migration to Google Cloud from the legacy platform easy and completed on time, while also offering benefits from a cost perspective through our market research.

Collibra Platform can be improved by adopting customized AI tools, similar to what other platforms like Databricks and Unity Catalog offer.

I have been using Collibra Platform for over two years.

Collibra Platform is stable, and that stability is why we chose it for our migration initiative to Google Cloud.

Collibra Platform is pretty scalable, although we have not explored a lot in that area because our requirement was pretty limited, mainly focusing on our cloud migration and the slow onboarding of the data stewards.

Customer support was very good, indeed excellent. Every time we had a person on the ground available to touch base with, plus there were weekly sessions with them that covered the loads and highlighted when it exceeded a threshold, so customer support was awesome. I would rate the customer support ten out of ten.

I previously used Informatica but switched to Collibra Platform for several reasons, including Informatica being very expensive, lacking smooth customer support, and the frequent charges for license renewal and software upgrades, which complicated the entire migration to the cloud.

The automated workflows help my business users specifically because we are migrating from our legacy system over to the cloud, Google Cloud Platform, and by leveraging these automated workflows, we can bring in a lot of technical metadata over to Collibra Platform and at the same time onboard our business users. Collibra Platform offers a very customized user interface, making onboarding easy for us.

We are just a customer of this vendor.

I have seen a return on investment as there were fewer employees needed, and the migration to the cloud from the legacy platform on the Hadoop side was much easier using Collibra Platform. The migration or onboarding process thanks to Collibra Platform was completed within a time frame of four months, representing a pretty huge gain for the company.

My experience with pricing, setup cost, and licensing shows that the pricing was reasonable and stood out much better than others, as per a Gartner survey.

Before choosing Collibra Platform, we evaluated Reltio, Informatica, and a few other vendors available in the market.

My advice to others looking into using Collibra Platform is to have a short-term and long-term strategy and roadmap, do research on your organization to identify which use cases would be a good start to explore, thereby better allocating funding to align with those strategic initiatives, while also ensuring that your business has visibility on your planning from the beginning so that the users of the tool remain engaged, along with alignment from their leadership on how and when to engage. I would rate this solution an eight out of ten.