Collibra Platform Reviews

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 am part of implementing the workflow through it, setting up the glossaries, and importing the assets to Collibra Governance. 

I would say customization is the most valuable. The workflow is very good and has been embedded. It also has a great user interface.

I would like to see a feature using the runtime dashboard. As of now, we can create the dashboard using the snapshot of the report. But I would recommend having a dashboard that runs the data on the back end.

I have been using Collibra Governance for the past eight months.

I am finding that there is stability in Collibra Governance.

It is scalable and we have the ability to add more users.  Currently, we have one hundred and fifty users.

I was not involved during the setup.

I would say definitely worth the expense. Data governance takes time to see the output and results.

I would rate Collibra Governance 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 is mainly used as a one-stop solution for data discovery.

Using Collibra Governance means that we know the end to the life cycle of data across the team, which provides our data science and analytics team with sample data they can use to make decisions on what to do next.

Collibra Governance's most valuable features are data lineage and stewardships.

There are a lot of gaps in Collibra's support and documentation. In the next release, I would like Collibra Governance to include better integration with data ecosystem tools.

I've been using Collibra Governance for approximately a year.

Collibra Governance is stable with limited data sizes, but with bigger data sizes, you need to invest a lot in the job servers, which becomes a very costly operation.

Collibra Governance isn't that scalable.

It's very difficult to get support from Collibra.

Neutral

Previously, we used Apache Atlas and switched because it had very limited features.

The initial setup was very difficult - if you're looking at a high-availability or a production scale setup, you need to be technically sound. I would rate the ease of the setup process as two out of five. Deployment took around six months.

We used an in-house team.

Collibra Governance helps our organization, but getting a GMV or dollar value out of it is tough. I would rate its ROI as two or three out of five.

Collibra Governance is expensive - I would rate its pricing as one out of five. There are also additional costs for everything except the basic setup.

We evaluated Alation and OvalEdge.

Before implementing Collibra Governance, go through the tool very thoroughly because doing a POC or MVP is fine, but when you're looking at a production-scale deployment, it's very complicated. So explore other tools before jumping in with Collibra. I would rate Collibra Governance as 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.

The most important feature in Collibra Governance is the ability to gather data or a collection of data into one repository. If a client creates a repository at his place, then it will get updated to the cloud automatically.

It's easy to operate and understand.

Also, you can have different views for business people and for technical people, and there are some helpful customizations in it as well.

Collibra is not very user-friendly in terms of lineage generation. The lineage generation process is quite tough, and it takes lots of time to understand it.

Business staff are also struggling to generate lineages and to understand them. So, it is not very user-friendly.

They need to improve support. They have so many features, but nobody is much of an expert in the market at present. If they have easy, friendly support, it will help improve the product and help understand their own product.

I worked on a project related to this solution for six months.

It is quite a stable solution.

It is quite scalable. I think in the past, they had an in-house, on-premises version, but now they have come up with a cloud version, so it's quite scalable.

The initial setup is straightforward. Collibra helped with that process, but we found it to be straightforward and not complicated.

For functional users, one or two persons are adequate for deployment and maintenance. For preparation, four to five persons should be enough for the overall job. Two people will be needed for hands on work, and two consultants who can guide the people and resolve queries will be needed as well. You will also need a project manager who can monitor everything and assign tasks etc. A total of  five or six people is more than enough.

Collibra helped with the deployment, and we shadowed them during the setup and upgrading processes.

I would rate Collibra Governance at seven  on a scale from one to ten.

There is a master glossary which includes all of our business fields. The fields are related to particular lines of business such as account numbers. We then build business rules around these fields and complete data integrity checks. 

We plan to increase our usage of this solution over time. We will have to use other functionality within this application as it is currently limited. We currently have 12 team members using this solution. 

This solution is user friendly and offers multiple functionalities. It operates like a kind of a repository that allows you to find anything about a particular data set or field.

This solution could be improved with the the addition of process diagrams to help the many users of the platform understand all the fields.

We have used this solution for six months. 

This is a stable solution. 

The initial setup was straightforward. It was made easier due to the access we had to the Collibra team. The deployment took three months and involved three to four people.

I would rate this solution an eight out of ten.