Collibra Governance Reviews

We primarily use the solution for when the customer needs data governance to establish cases. We're choosing the product in order to meet the requirements of the customer. That includes requirements such as establishing a governance council if the customer does not have one. It's for data management and the solution handles data quality and metadata management, et cetera. 

Before implementing data governance, the customer had a pain point of identifying the data and providing data useful to their business. That was the biggest challenge. There were also many data quality jobs where the customer wanted to find and identify the data in terms of where the data is sitting and who was responsible for it, et cetera. We were able to identify data sources, which applications were available within the organization, the domain level, and more to clarify exactly what was happening, where reports were sitting, who was connected to what, where data was coming from, and more. It also helps clarify job roles and showed access to identify where pain points were to get an overall picture of the data of the entire organization. 

The ability to pull together data lineage is one of the most valuable aspects of the product. 

The transparency was great. the business was able to come in and see the data and what exactly was happening in a way they couldn't before. The company could see job roles, data sources, and policies. 

The quality and visibility of the data links are great.

They used to rely on third parties, however, now, for example, they've brought in their own data quality tool. 

The beauty of the solution is that you can customize it quite a bit.

The technical support could be better.

Previously, it was a challenge to integrate tools like MuleSoft into the product. However, they've gotten better. 

There needs to be more security and compliance embedded in the product in the future. 

I've used the solution for close to seven years. 

The stability is great. I'd rate it at around a nine out of ten in terms of reliability. There are no bugs or glitches, and it doesn't crash or freeze. 

The scalability is quite good. I'd rate the ease of expansion at an 8.5 out of ten. 

We weren't overly pleased with the technical support. They need to provide a better quality of service to the customer. 

Neutral

I'm also familiar with Informatica Axon. I find that it is a little stronger in the data quality department. However, it is not as easy to deploy. 

It's not too complex to set up initially. It's pretty easy if you are doing a basic setup. However, it does depend on the client's requirements. You can customize a lot of things, which is great. 

We handled the setup ourselves in-house. I mostly did the implementation myself. I have seven years of experience and am quite comfortable with it. 

We have witnessed an ROI while using this product. The customer typically sees huge returns. 

The solution isn't overly expensive for bigger customers. Typically, the cost is handled by the customer, not me, and therefore iI can't speak of the exact pricing. 

I'm not sure which version of the solution we are on right now. We're on the cloud deployment, meaning we are likely using the latest iteration.

I'd recommend the solution to others. It's a straightforward product. 

I would rate it nine out of ten overall.  

We use the product for classification based on the different regulations and compliance requirements.

The platform is customizable. In comparison, Informatica Axon has predefined facets. Meanwhile, Collibra lets us create custom assets. It helps us build a powerful workflow mechanism where there can be any stewardship, including issue management governing assets using policies, regulations, or business rules. They are integrated very well. It has a lot of connectors with different source systems and efficient cataloging features.

There could be more integration similar to Snowflake, for instance. They do support integration, but complete lineage is not possible. Certain implementations, including lineage maps, could be user-friendly. At the moment, there needs to be more lineage between data sources. It needs improvements in terms of attribute connectivity during data transformation.

We have been using Collibra Governance for seven or eight years.

It is a stable platform.

Collibra Governance is suitable for enterprise businesses. It is a SaaS product. Thus, the end users don’t have to maintain scalability or maintenance.

The technical support team is responsive.

Positive

I have worked with Informatica Axon and Data Catalog. In comparison, Collibra has better workflow management features. I recommend it for technical usage as well. However, Axon is more user-friendly for creating lineage diagrams. It has ready-to-use templates for deployment.

The initial setup process is complicated. However, once you get good training and understanding of the system, it is very straightforward. Some of the configurations require support. It takes around a week or two to complete all the configuration for the existing ecosystem.

For Informatica, we have to buy cataloging and governance separately. Meanwhile, Collibra offers one structure for both. We purchase its annual license. There is an extra cost for additional users.

I rate Collibra Governance an eight out of ten.

There are different use cases, including integration with other applications, setting up operating models for specific business domains, such as finance or manufacturing, defining domain structures, and implementing data quality rules and scorecards. The specific use cases can vary from client to client, but they generally involve leveraging Collibra's capabilities to establish a strong governance framework and improve data management across the organization.

I appreciate its user-friendly interface. It facilitates explaining and handing over the data between the teams. It enables a linear view of the data assets across different levels, providing a comprehensive understanding. While other tools may offer similar features, Collibra Governance stands out for its integration capabilities, particularly with platforms like Google Cloud. It is also well-regarded for its modern and cloud-based approach, which aligns with the needs of clients that utilize multiple cloud solutions.

There are certain limitations and difficulties regarding the migration of complex data quality rules, as the tool may struggle with lengthy calculations and longer loading times. Our clients reported that they have experienced runtime errors in those scenarios, Also, setting up the tool and seeing real results can take a significant amount of time and manual effort. Many clients struggle to find experienced consultants due to the tool's extensive features, and this shortage impacts the deployment process and overall value realization. The pricing structure is significantly expensive and not affordable for all the clients. I would suggest that Collibra consider offering a lighter version of the tool for small companies. Currently, the main focus of their strategy lies in targeting medium and large enterprises.

I have been using this solution for a year now.

It provides good stability. We didn't have many complaints about it. There have been some challenges with complex rules, particularly about data quality.

It offers good scalability that is suitable for medium to large companies.

They provide excellent support, and there is positive feedback in the market regarding their support services. The collaboration between Collibra Governance and their clients fosters mutual learning and improvement. 

Positive

I previously used other solutions, like Azure and Informatica, but Collibra Governance offers the best experience regarding the user-friendly nature of the interface. While the other tools have their strengths, Collibra stands out for its compatibility features. It is a competitive solution that offers a variety of comprehensive capabilities.

Configuring is relatively easy with the right training and materials, which is essential for users to understand and utilize the tool effectively. The complexity of the configuration itself depends on the scope of the project, with smaller use cases typically taking one to two months. For larger projects, a team of three to four people, including a developer, engineer, and governance specialist, may be required for deployment. The maintenance is straightforward. Overall, it is a user-friendly tool for administrators.

Generally, it is a rather expensive solution compared to some other tools in the market, but I found it to be fair-priced for its capabilities. The cost barrier often causes potential clients, especially small companies, to opt for other choices. I saw many clients coming back to Collibra after realizing that other tools have significant limitations. The cost factor also varies depending on the size of the company, as larger organizations have a bigger capital to invest in multiple tools.

I recommend considering it, as it provides valuable features. It may be advisable to evaluate and assess the requirements and preferences of the client before making a final decision. I would rate the solution eight out of ten.

Collibra Governance has many use cases. I'm part of the enterprise data team and I also focus on other types of data enterprise, wherein governance is one of the workstreams. I'm working for a pharmaceutical company, so I try to onboard people on Collibra Governance from various verticals such as HR, vaccines, pharma supply chain, etc. Sample use cases for the solution include data quality for cloud stream software, automated data lineage, and other types of lineage. In general, I'm using it mainly for data governance.

The feature I like most in Collibra Governance is the lineage. It lets me do lineage that you can set up, for example, technical lineage and business lineage. The solution lets me associate the right people with the right assets, so anybody who has to look at end-to-end instances can use Collibra Governance and figure it out in terms of who to contact, what to do, and where to find what you need.

There's still room for improvement in Collibra Governance. Right now, the solution focuses more on publishing and subscription where metadata is being consumed from all systems and processes within Collibra Governance. I'd like to see more features around external systems that let those systems start consuming or start referring things from Collibra Governance automatically, in particular, more API-based integrations, so the solution can truly work as an enterprise governance tool at the heart of the organization.

There have been many cases where business stakeholders feel, "Okay. I'll be doing a manual activity because every time I have to maintain and make sure that the solution is working, for example, ensuring the reporting works, I have to go to Collibra Governance." I want this step taken out of the equation, and it has to be an automatic conversion or automatic notification that something has changed.

Scalability also needs improvement in the solution.

If there could be some sort of self-service where people can customize the solution a bit more, that would make Collibra Governance better.

What I'd like to see in the next release of the solution is an enhanced search feature because it's what users want to use. You want to search for a term and get all details in one go. Right now, if you type a term in the Collibra Governance global search function, it returns a lot of results that you need to know how to filter and what to filter, so there should be automatic filters that give accurate information to somebody who does a search on the solution. I want Collibra Governance to provide a capability where you can search and get relevant information.

I've been using Collibra Governance for two years now.

Collibra Governance is a stable solution. It has no downtime or issues, based on my experience.

Collibra Governance is not a scalable solution, and this is one of its areas for improvement. The solution needs more integration, and I'm also looking at how Collibra Governance can be more scalable.

The technical support team for Collibra Governance is very responsive and knowledgeable. On a scale of one to five, I'm rating support a five. My team gets very good support from Collibra Governance whenever required.

The initial setup for Collibra Governance isn't that complex. The UI is pretty straightforward and the structure is quite standard, so people can come and map. The main problem my team is facing is working in a federated environment, so every business or every unit you've given leverage designs it their way, and in that way, people can customize a tech model, so you have no control over that. It's more of how people perceive the business, business terms, and business data that varies. I'm struggling to build more standardizations around it, but I have no solution to it yet because, in my company, you don't work like a centralized organization. People research and build designs their way, so at times, this leads to different conclusions, and that's what I'm struggling to solve.

I'd rate the setup for Collibra Governance as three out of five, though I didn't do the setup myself. Another team was responsible for setting up the solution.

I'm not familiar with the pricing or licensing cost of Collibra Governance.

I've not used any other data governance tool apart from Collibra Governance. I've used a data quantity tool, a data reference tool, and a master data management tool, but not a data governance tool similar to Collibra Governance. In my previous organization, I did governance through files, SharePoint, etc., not a centralized tool such as Collibra Governance.

In the company, there are more than three thousand users of Collibra Governance.

My team has been using the solution daily, but I'm unsure of how frequently it's used by other teams.

My rating for Collibra Governance is seven out of ten.

My company is a customer of Collibra Governance.

Collibra Governance is used as a data governance tool to manage your business metadata and technical metadata from various systems. Customers also use the tool to provide a data cataloging option, create a data lineage, and automate some of the business processes.

The solution's most valuable feature is data cataloging. The solution's data cataloging feature is mainly used for data discovery. Nowadays, data cataloging enables the data marketplace to share data within enterprises. That's another enablement that Collibra Governance does.

When you have a huge amount of hierarchical data to manage, the solution's performance tends to decrease.

I have been using Collibra Governance for six to seven years.

Sometimes, when we face an issue, we resolve it by ourselves. On other occasions, we contact the solution's technical support team. I wouldn't say that the technical support is excellent. The support team struggles to resolve the issues 60% of the time. However, they are able to resolve issues the remaining 40% of the time.

Neutral

Many of our customers I spoke to felt that the solution is a bit highly-priced.

I sometimes recommend Collibra Governance to our customers based on their requirements and environment. Most customers look forward to having a data lineage function, but I haven't seen any tool that satisfies the customer requirements, including Collibra Governance.

The solution has primarily enabled some of the compliance reporting through data lineage reporting. When you have data cataloging with complete metadata enrichment and identification of PII and non-PII, it helps customers control and manage them properly.

If a customer does not have the appetite to procure Collibra Governance because of the pricing models, we may recommend a different product with cheaper prices. Collibra is working on building a new product for AI governance. I want to see how Collibra's data governance and AI governance will relate to each other.

Most of the customers we deal with are looking for a tool to resolve the data lineage challenge. However, none of the products in the market seem to be resolving the customers' data lineage issues. Vendors like Collibra, Alation, and Informatica could work on it and provide a more comprehensible solution to the customer.

Overall, I rate the solution an eight out of ten.

Our major use case for Collibra Governance involves maintaining lineage, as well as linking business terms and technical terms together. Then, our use revolves around linking policies with actual data, such that we can create data sharing policies within the tool, storing data and quality results.

I am currently working on about 10-12 projects with Collibra Governance using the latest cloud version. It is available on both cloud and on-premises, but currently all our solutions are moving to the cloud.

Workflows is the most valuable feature of Collibra because we will typically use an interface for it and we can customize it as per our needs.

It is also a very user-friendly tool which is easy to navigate and understand right from the start.

Many other tools like Collibra Governance give you the option to actually see the data in the tool, which is not an option in Collibra. If you compare it with Alation, which has the compose data option, you can see the data right there.

Perhaps this is a feature they could include in the future, although I'm not sure if it is in their roadmap or not, because it is just a governance tool for storing metadata, and not for connecting actual data. If they could include some type of data viewing functionality, however, I would appreciate it.

I've been using Collibra Governance for around six years.

It has been a stable tool since I started using it, which was around 2015. We have used their cloud version since about 2019 or so, making that two years of stable cloud use, while the on-premises version has also been stable. I believe it has been in the market from about 2008 and they have made many enhancements over time with regard to stability.

Since our version of Collibra is on the cloud and we essentially only use it as a metadata tool, the best way it can be extended is to increase the cloud database. This is all done by the Collibra team, however.

At the moment, I am working on between 10 and 12 projects with it, so in this sense I can call it scalable.

The tech support is good because they have a dedicated team who will be mobilized to help support you on the aspect that you are struggling with. Usually, you will get a response from a team member who has knowledge of the sort of routine you are asking about, and you will be talking with someone who has good knowledge of the tool. Of course, it may happen that the support team member is new to the job, but they will at least help guide you in the right direction.

There is also a support portal where you can browse and search for articles that explain what you need to know. If you can't find the information you're looking for, then you can just raise a ticket with their support. It is very easy.

Positive

It's a very user-friendly tool and easy to navigate right from the beginning.

We didn't actually need to install anything with the cloud version because the Collibra team maintains the installation and everything related to it. They simply give us a direct URL to access it and the admin team then manages all the other considerations. Usually, the customers buy one, two, or three instances at a time, including instances for QA and development, but the deployment process really depends on the size of the company.

Deployment in general is very easy because they have a built-in migration feature with which we can easily migrate data from one system to another in a direct manner. We can also simply make a complete backup of the environment and then just upload it to another system using the backup option.

Collibra provides you with a license based on the subscription model that you purchase.

I highly recommend this tool to users who want to see the lineage of their data, including technical lineage and business lineage. It is very easy to create lineage views with it, and it supports many technical lineages out of the box.

I would rate Collibra Governance an eight out of ten.

We've used it for cataloging or defining our business data entities and their associated attributes or data elements. Where appropriate, we are defining their sources and their modes of derivation. Rising above that, we are also using Collibra for the definition of our business metrics that are calculated from those data elements and the derivation definitions associated with them.

We have folks in the field doing our clinical research operations, and they have the opportunity to refer to Collibra when they are examining a particular report. When they have a question about how something in that report is derived, they can pull a metric that is defined fully in Collibra. They have the opportunity to drill back into Collibra to see that.

It is a big library. It has a long list of data assets and their descriptions and lineage. It's fairly two-dimensional. For my use, it just has lists of things. There might be others in my organization who are tying the data elements, metrics, and other things together, but I don't rely on that, and I don't leverage that. For me, it is a fairly flat library for information.

What I use it for is fairly rudimentary, and I don't have any complaints about it. I haven't tried to stretch the boundaries at all, but it would be nice if there were capabilities built within the system to somehow help enforce the quality and consistency across related elements that are built in the catalog. It could have intelligent capabilities built in to help maintain the quality of the data and information, such as natural language processing, machine learning, and so on. 

I've been exposed to it for about seven years, but I have been using it more heavily over the past couple of years.

I've not seen or heard of any problems with its stability.

I haven't seen any impediments there. So, I have no concerns about scalability. It could be because I haven't been this involved in pushing the boundaries, but I've seen it accommodate new layers without hearing of any issues.

It is open to everybody in our organization. We have more than a thousand users. So, there are more than a thousand people out there who have lately used Collibra, but most of them have used it in the reference mode or read-only mode. In terms of their roles, we've got everybody from data engineers, data analysts, and systems developers to business analysts and business end-users. 

I've never called them, and I don't hear anybody complaining about it.

As far as I know, this was our first venture about seven years ago into data cataloging and data governance.

I wasn't involved in the setup, but I can see that the maintenance of information within the system is quite straightforward.

My guess would be that we took care of most of the things in-house.

I'm only involved in the use of it. My advice would be to make sure that the content is of quality because it tends to mushroom into lots and lots of information that can easily get out of sync. It should only be entered into by an organization that has the discipline behind it to maintain the information at a high level of quality. Otherwise, you end up with a lot of information that seems useful, but in effect, it could be more harmful than it's worth if things get out of sync. It takes an organization to maintain this kind of solution. The content is dependent on the quality of the maintenance of the content.

I see a small chunk of it, and I would rate it an eight out of ten.

Collibra is generally used as a data governance tool, maintaining all metadata repositories. For each and every data that has been cataloged in Collibra, there'll be an owner assigned to it, whether it's a subject matter expert, a data streamer, data owner, etc. All the data is catalogued into Collibra. It has a single source of truth for data. I'm a senior Collibra consultant and we are customers of the company. 

We have data that people want to access and that's where Collibra fits in. They provide the SSO authentication so that anyone in the organization using the login can find what they want. 

Collibra is evolving their connectivity towards all programs across the IT landscape. The solution has good workflows and they now offer nine dimensions of data quality and provide a lot of features. The solution is based on AIML, Artificial Intelligence Machine Learning so that even if you don't know SQL, you can operate Collibra Data Quality. Collibra Workflows, Collibra Data Quality, are two good aspects that I would highlight from Collibra. Governance provides a user access mechanism, where you have all the data assets cataloged in Collibra. Not everyone can access all the data which is where the governance process comes in. They are constantly coming up with new features, and provide a monthly release.

The Collibra interface is not very user-friendly because it has a lot of features that business users find difficult to navigate. Anyone using the device needs some knowledge about how to use the tool and it takes a while to access and get used to the interface. I'd like to see them build a simple interface with only four dropdowns in order to get access to the request. If you're using it for the first time, it's difficult.

There are widgets in the dashboard and if they could make it more like a webpage instead of a Word document, that would be helpful. They have alternatives, but it takes a lot of work and even Collibra developers don't necessarily know how it works. Some changes are needed. 

I've been using this solution for three years. 

The stability is good, I've never felt any performance issues. 

It is highly scalable, we have around 4,500 users.

When you buy a Collibra license, they offer some training. If we have any issues, we can have a coaching call with them. In addition, they have a support portal. If you raise a ticket with them, they'll respond. 

Collibra provides support to anyone deploying the cloud version and implementation generally only takes a couple of hours. They are also responsible for maintenance.

There is a standard license for Collibra Governance and an additional cost for Collibra Lineage and for Collibra Data Quality. Author licenses have a set maximum limit; if you want extra there's an additional cost. That's their marketing strategy. 

I recommend going to the Collibra University web portal where you can register and log in. They provide a lot of basic information and the functionalities they provide. For anyone wanting to get into governance you can easily get certified as a Collibra consultant. Collibra has its own product roadmap. They have an ideation platform, where you can suggest ideas and if they get a sufficient number of responses in a particular area, they will add it to their roadmap and work on it. Collibra provides a lot to their customers as well as continually improving the product.

Anyone wanting data analytics uses Collibra. I rate this solution seven out of 10.