Collibra Catalog Reviews

The product’s primary use case is metadata management. It helps us capture different datasets, including images, glossaries, etc.

Collibra Catalog has significantly enhanced data governance and compliance for our team, primarily through its valuable feature of endpoint lineage enabling visual representation of the data. However, it takes a lot of manual effort for the same. They could introduce more features to align the process.

A key area for improvement in Collibra Catalog lies in its integration capabilities, particularly with a broader range of sources such as MongoDB and others. It is a time-consuming process for the engineering team to set up custom connectors. Thus, they could provide a wide range of connectors to address this issue.

We have been using Collibra Catalog for three or four years.

I rate the product’s stability an eight out of ten.

We encounter complexities in scaling the platform. It requires a lot of manual effort. At present, we only have 60 to 70 users in our organization. Our objective is to implement it for around 2000 users per month.

I rate the scalability a six out of ten.

I haven’t interacted directly with the technical support team. From the higher-level perspective, there have been interactions regarding our requirements, although the turnaround time for addressing the issues needs improvement.

The initial setup is complicated in terms of accessibility for enterprise users. Determining the optimal number of licenses for an enterprise proved to be a complex task, adding a layer of complexity to the implementation. For governance, they should include customized workflows.

The product is highly priced compared to other vendors. It becomes a challenge as we have to incur additional costs for widespread connectors that are unavailable in the product. It takes a good amount of time and effort to build custom connectors as well. There could be better integration with other systems instead.

I recommend Collibra Catalog to others and rate it a seven 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 Collibra Catalog for the business glossary.

We have found that Collibra Catalog is very easy to use. We suggest a small proof of concept because businesses look at things differently in different parts of the company. 

I think they can bring a few more features and align better with other quality products.

I have been using Collibra Catalog for one year now.

We have not had many complaints about stability so I believe it is stable.

Since I have only used the product for a year now I can not really comment on how scalable it is currently.

I would rate Collibra Catalog an eight out of ten.

Neutral

The setup is easy to implement in your market.