Collibra Platform serves as the central place to document, govern, and understand our data assets.
I use Collibra Platform in my day-to-day work to build out a business glossary and the data catalog to describe our key data assets.
External reviews are not included in the AWS star rating for the product.
Collibra Platform serves as the central place to document, govern, and understand our data assets.
I use Collibra Platform in my day-to-day work to build out a business glossary and the data catalog to describe our key data assets.
The Data Catalog feature stands out most to me because it is organized, faster, and there are good integrations with other tools.
Collibra Platform has positively impacted my organization as we save a lot of time. We have saved up to 30% of manual work as a specific process or workflow became faster.
Collibra Platform can be improved by adding more connectors to the ecosystems.
I have been using Collibra Platform for two years.
Collibra Platform is stable.
I have seen a return on investment, with relevant metrics being time saved.
We achieved 30% of time saved, and the platform is easy to use.
My advice to others looking into using Collibra Platform is to use it in cloud because that is the best solution.
I give this review a rating of 10 out of 10.
I use the Collibra Lineage visualization features. The solution helps me understand data flows effectively. Collibra Lineage impacts my data analysis by helping to identify where data is used, making it significantly useful. The solution facilitates compliance by defining where sensitive data is located, helping to trace sensitive data.
One of the best features of Collibra Lineage is that it provides an end-to-end perspective of where data is used in the enterprise.
The positive benefit from using Collibra Lineage is that it provides an end-to-end perspective of data usage in the organization.
There is room for improvement in Collibra Lineage as it could incorporate automation features which would allow it to find data lineage across a data stack independently.
I have been working with Collibra Lineage for approximately four or five years.
I don't have much experience with Collibra Lineage, so I cannot comment on whether it is straightforward in terms of installation or if there are challenges when implementing.
I personally don't participate in the installation of Collibra Lineage.
Collibra Lineage is a stable solution.
Collibra Lineage is scalable.
I did not communicate with their support for Collibra Lineage, so I would not know if they were helpful or responsive.
Neutral
When it comes to implementing Collibra Lineage, three or four engineers are involved.
Using Collibra Lineage is beneficial in terms of finance.
The metrics I track to measure efficiency improvement after using Collibra Lineage include integration and analytics. The time spent to identify data usage is reduced significantly.
Because I have not used Collibra Lineage extensively, I will not comment on future updates, improvements, or features I would like to see, such as more customization, more AI features, a refreshed interface, or a lower price. I rate Collibra Lineage 8 out of 10.
Implementing Collibra Governance is definitely something that all organizations having data need. It's the kind of tool especially for large enterprises where data is distributed across multiple data stacks, bringing rigor for both data management and data engineering.
We use Collibra Governance for metadata management and access restrictions, as well as lineage.
We use Collibra's Data Stewardship features. In terms of role assignment and accountability, there are three levels of users: people who are data users, then there are data stewards, who are users of data enforcing compliance and rigor around data, and finally, the data governor who sets up policies and principles.
We have utilized Collibra's Business Glossary. It is good for reference of the data, understanding what the data is about, which helps maintain data accuracy.
Collibra's integration capabilities benefit our organization, although compared to the rest of the market, it is a bit cumbersome, but it's acceptable.
My experience with Collibra's collaboration tools in improving data literacy has been quite good. I think it is one of the best for helping people understand and discuss certain data sets and manage workflows.
In future updates, I would like to see more AI-based capability in Collibra Governance, wherein the data definitions can be auto-generated and lineage can be tracked down easier.
I've been working with it for probably 12 years.
The installation process is quite straightforward, but for it to be adapted by the organization presents challenges based on the organization, so it's not a technical challenge.
For a basic installation, I spend just a few weeks, probably about two weeks on setup and configuration.
Three to four people from my side usually take part in the implementation.
There are some benefits in the long run in terms of return on investment. While there are no direct cost reductions, there is significant indirect cost reduction. If I consider putting data governance in place without a tool like this, it's difficult, resulting in a significant cost improvement. If something else can be used instead and it's more expensive, that is a consideration.
Regarding licensing, I find it is one of the more expensive options, so it is not particularly affordable.
The interface is very good, with no complaints.
I do work with other vendors as well. Some other vendors I work with include Informatica, Atlan, and Suchi.
On a scale of 1-10, I rate Collibra Governance a 9.
We have a data platform and we use Collibra Catalog as enterprise governance tools. We are using Collibra Catalog for basic functionality.
It has various features such as cataloging data products and data sets, and it also has a marketplace and edge connectors to scan metadata. All these are various features, and the data quality aspects are there as well.
Discoverability is one of the key things we are always looking into.
Lineage is also available, including both technical and metadata lineage.
One of the very key drawbacks is that automation for access provisioning is not available. If I discover a data set or data product in the marketplace and want to access the data, this feature doesn't exist at all.
This is the biggest problem because without access automation enabled, users cannot get access to the underlying data.
We have been using it for 4 and 1/2 years now.
Deployment issues exist; every time we do a deployment, it erases the data in its previous versions. We have highlighted this to Collibra Catalog and have raised a ticket. They are working on it.
We are not satisfied as it is not yet completed. We raised this issue a year ago, but there have not been any results yet.
Response time is the main issue.
The solution is scalable.
We have multiple cataloging systems similar to Collibra Catalog.
Pricing is not under my purview as I am an architect. The platform team handles the licensing aspects.
The comparison shows that each tool has its own pros and cons.
Gartner identifies Collibra Catalog as the leader, which aligns with our observations.
I have read reports about Collibra Governance and Microsoft Purview on the website. We are currently using Collibra Catalog. We also use Tableau. I work as a Collibra Catalog architect. The tech support rating is six out of ten. Overall, I rate this solution 8 out of 10.