Collibra Platform Reviews

We mostly use Collibra Governance for governance-related tasks like building business glossaries and creating policies.

Collibra Governance comes with a lot of features, and we have used it in one of our projects for metadata management and data lineage. I have used the solution to create governance rules and a centralized repository for business glossaries.

The solution's metadata management is pretty novice and could be improved.

I have been using Collibra Governance for around one year.

I rate Collibra Governance a nine out of ten for stability.

Collibra Governance is more suitable for medium-level and enterprise businesses.

I rate Collibra Governance a nine out of ten for scalability.

The solution's technical support was good, but there was a delay in their response time, possibly because of the time zones.

The solution’s initial setup is simple.

The solution's deployment will not take more than a week and can be done in five working days.

The solution's pricing is moderate and not very expensive.

Informatica is coming up with some level of data governance. erwin Data Modeler is quickly emerging as a competitor for Collibra in the coming days.

Collibra Governance is deployed on the cloud in our organization.

Overall, I rate Collibra Governance an eight out of ten.

Collibra Governance is a stable solution.

The solution's data lineage is a little difficult and will not support all the source systems on the database.

I have been working with Collibra Governance since last year.

Collibra Governance is a scalable solution.

Collibra Governance's documentation is clear. We can get all the documents from Collibra University.

Collibra Governance's initial setup is complex.

It takes more than 15 to 20 days to deploy Collibra Governance.

Collibra Governance is an expensive solution.

Collibra Governance is a good tool that has some pros and cons.

Overall, I rate Collibra Governance a seven out of ten.

We use the solution to organize data. The IT team has access to the data and knows where it is stored, but when it comes to legal compliances and various regulations, the business itself does not have control over where the data is stored and how it is stored. Typically, the business wants to have control over where the data is stored, the various data classifications, and data sensitivity. That is the main reason why we use Collibra Governance.

I appreciate the range of features it has. Based on the reviews of some of the other tools we use, we find that the other tools lack in certain areas. If I had to choose a comprehensive tool across all the fields of data governance, I would opt for Collibra Governance.

The most valuable feature is the Technical Lineage. The fact that you can trace the auditability of a particular field or attribute across various systems is very useful.

There are a few things that need improvement. From a usability perspective, customers usually find some areas of the solution a bit complex. It takes a long time for the customers to get used to the UI and the interface. Another thing that the customers complain about when they opt for Collibra is the pricing. There are fees for additional features which mess with the customers' overall budgets.

I've been using Collibra Governance for about two and a half years.

It is a very stable solution. I would give it a nine out of ten. It works very well compared to other solutions on the market.

The scalability of the solution is good. I give it an eight out of ten.

The response time of technical support is typically high.

Neutral

Nowadays, most customers are looking into Microsoft Stack, so we use Microsoft Purview as well, although Calibra Governance is our preferred choice since it's much more stable than Purview.

Up until now, Collibra Governance has been the market leader and is always the first one to add new features. Purview tries to bring out a lot of features as fast as possible, but those features are not very stable and have a lot of bugs. Purview has the upper hand when it comes to the usability of the app system. It is easier for customers to understand the feature list while using Purview. For example, after using both solutions for a few weeks, they usually have a better grasp of Purview than Callibra Governance.

Since it is a SaaS platform in a way, the solution is deployed on Collibra cloud. The deployment is pretty straightforward since Collibra deploys it on its own. It takes about a week to get the core of the system up and running. After, we configure it to fit the specific needs.

On a scale from one to ten, the simplicity of the setup would be an eight.

Collibra Governance's pricing is based on its features. You get what you pay for. There are other solutions that are cost-effective but lower quality. With Collibra, you get a fair-value product if you pay a bit more.

I would not recommend using the Big Bang approach with Collibra Governance. You should understand the bigger picture of what you want to do. Start off with a few systems and four small modules. Get feedback from the business and then continuously evolve it. It is better to have the implementation spread out over a one-year period than have it crammed down within three to six months while trying to implement everything at once.

I would say that Collibra Governance is suitable for small to medium businesses. 

Overall, I rate the solution a nine out of ten.

I primarily use Collibra Catalog for data management and governance. It lets you build data catalogs, making sure you've got the right definitions for business terms so that everyone's aligned. It also ensures that the correct roles and responsibilities are assigned and the correct data stewards are assigned to the correct data set.

Collibra Catalog's best feature is the data quality checker. It has a functionality that displays a tick when the data set is complete and the data is working and matching properly. This is a good way to validate if the data quality is sufficient.

Ai is a critical thing in today's world, so Collibra Catalog could improve its automation to increase the efficiency of the software.

I've been using Collibra Catalog for four to five months.

I would rate Collibra Catalog's stability eight out of ten.

I would rate Collibra Catalog's scalability eight out of ten.

I would rate the ease of the initial setup seven out of ten. Deployment takes two to three days.

Our ROI from Collibra Catalog is about 15%.

Collibra Catalog is fairly priced - I would rate their pricing seven out of ten.

I would recommend Collibra Catalog as one of the best solutions for data governance. I'd give Collibra Catalog a rating of eight out of ten.

We use this solution for workflows and for specific use cases. For our retail and insurance clients, we meet governance requirements by using all the features that Collibra provides. We do most of the work using workflows and connectors. We build connectors where the data will be extracted from a third party tool and  input in Collibra.

We have 40 to 50 team members using this solution. We have three admins who manage this solution. 

Workflow is very helpful and assessment are good features. I really like the structure of this solution and how it is compartmentalized.

There are certain processes that involve a lot of manual work, specifically when searching for attribute assignments. It would be better if we could do this via APIs. 

In a future release, we would like to have rules. We would like to have Regex Expression that scans data and to monitor quality. 

I have been using this solution for four and a half years. 

This is a stable solution. 

This is a scalable solution. 

We do get most of our support questions answered precisely, but not all of them. We have needed to do some online learning. 

We have previously used Informatica and Alation. 

Collibra has a better workflow while Informatica does not offer automation. We rely on the automation that Collibra offers.

In terms of governance, I prefer Informatica because it offers different tools and data. 

The initial setup is straightforward. 

I would advise others to have a meta model before they get into Collibra so that they can use the features that Collibra provides. They should have a proper architecture design ready before starting implementation. 

I would rate this solution an eight out of ten. 

I have been working on Collibra for a data governance assignment. Along with that, we also use Ataccama for data quality purposes. It is a Collibra/Ataccama mixture that we use.

We would like to have out-of-the-box automation. We have leveraged some of the out-of-the-box workflows. Collibra does have the workflows such as the creation of business assets. We designed tools to tag the sensitivity information in Collibra and embedded scripts into the workflow. We then deployed that workflow so the user can upload a sheet with metadata and the tags will get tagged across those columns.

Collibra's lineage is a very powerful feature. We have integrated Collibra with Azure and ADLS storage and we create lineage diagrams using the two tools.

This solution does not have an out-of-the-box connector for the cloud platform. If a client does not want their data sent out of their own server, it will be very difficult to ensure this. You can install Collibra Jobserver and DGC on your machine, but you cannot install a newer solution. This is a restriction for us. 

We have been using this solution for one and a half years.

This is a stable solution. If you have data sources for which Collibra can provide an out-of-the-box connector, then it is stable. You can schedule your job to pull metadata or data out of your source system, with Collibra as a connector. However, if you have something out-of-the-box which Collibra does not support as a connector, that is a challenge. 

If you have Teradata or Oracle as a system, you can build that lineage into thw Collibra platform but if you want to build something on Azure, there is no direct way to do this because they don't support that.

This is a scalable solution. 

Collibra are very supportive. If you need anything, they have a customer support portal where you can raise a ticket and they reply immediately. 

Positive

Collibra does have its own university so when we started this assignment, we went through the courses. After that, it was quite easy to complete the setup. 

This is a very good tool and they have upgraded many features including an ADF connector and ADLS connector. You can write your own connector and customize it in the workflow.

I would rate this solution a six out of ten.

Collibra Governance can be deployed on-premise and in the cloud. The solutions can be used for lineage data quality, business glossary, and data cataloging.

The most valuable features of Collibra Governance are that it is user-friendly and easy to use.

The price of Collibra Governance could improve.

I have been using Collibra Governance for more than two years.

We have approximately 30 business users. 

The technical support was good from Collibra Governance.

The intial setup for Collibra Governance is mostly straightforward except for the workflows. The workflows are not that straightforward. There is a learning curve.

The full implementation took approximately four months.

We have approximately four people for the deployment and maintenance of Collibra Governance.

There are different levels of licenses. For example, some users can only do read-only licenses, and others have the stewardship license where they can give access to users.

The license for Collibra Governance is expensive.

I would recommend this solution to others. However, I am trying out a new data governance tool very soon. Collibra has bought a new data quality solution, but it is not integrated yet. We are all waiting for the integration of the data quality solution. OwlDQ is the name of the solution they have bought.

All right, sir.

I rate Collibra Governance an eight out of ten.

We use it for compliance and data quality.

It shows how the data was transformed on the way and how the solutions were derived. This is the essence of the tool and why it is so powerful.

Any stakeholder in the company can see a very detailed visualization of the path of the data from the row to the report or the dataset to which machine learning was applied, for example.

Better integration with quality would be good.

Before you can use this solution, you have to make a lot of changes to how you measure your information in your organization, the data governance and policies, and the organizational structures that use them. Many companies believe that if they purchase the licenses for the tool that they have done the job, but this is far from the case with this tool.

It would be great to enhance the recovery feature with some AI. Adding automatic data discovery and classification based on AI algorithms would be good because it is really complex. You need a lot of storage, and it would be helpful if the burden could be diminished by summation.

It is stable, and I've never had any issues with it.

We had no problem at all with tens of thousands of concurrent users.

It's expensive, especially for small companies.

This solution is too expensive for a small company, and it also really needs quite a complex organizational structure. However, for medium top layer and large enterprises, it would be a good fit.

On a scale from one to ten, I would rate this solution at eight.