Our use case is to manage master data inside of Governance.
The solution is deployed on cloud. We have around 10 data analysts using the solution.
Our use case is to manage master data inside of Governance.
The solution is deployed on cloud. We have around 10 data analysts using the solution.
The most valuable feature is the discovery process for the data catalog because we get it in a visual format as a way to understand and classify it. It's good to generate insights and get the context of the data.
When we are doing discovery for unstructured data sources, I would suggest a quality report of the data that would indicate what was unable to process.
The main issue is the data quality and that we can't control dealing with the real-world data. It's good to measure this and compare it between different data sources.
The Collibra products are very consolidated in the market. I think it's harder to analyze different domains of the data. Through Data Lineage, I think Collibra could add a relationship graphic analysis. They could add a feature that is a new way to explore the data.
I have used this solution for six months.
It's pretty stable. It hasn't suffered any outages so far.
I'm not sure if you can improve or optimize the performance to streamline it, but in terms of stability, I haven't had any issues.
We haven't scaled up, so I don't know if we will have any issues with this.
I would rate this solution 8 out of 10.
The entirety of Data Intelligence is good, but I can't talk about all the products inside. I can't give it a 10, at least for the pieces of Collibra that I know.
There are many pieces of the platform, and I think everyone should at least test the Data Catalog and Data Privacy or deploy it and combine it. If we mix with other vendors that can deliver these things, it will be complex to get things done.
It's very tight with the Data Catalog and Data Lineage. It's more than just an integration and an API for your services.