A separate team did the setup for this tool and was involved in setting it up. When they were doing the setup, it was a significant upfront investment in terms of the configuration, modeling, and governance design because the team first had to define the domains, the assets, and the roles. That takes time, and in the insurance environment where we had many legacy systems, this increased the setup effort. It would be helpful if Collibra Platform could have industry specific starter templates that could accelerate adoption. As we ingested more and more metadata, sometimes the catalog searches became slower by a fraction of a second because there was more metadata in the tool. After inserting millions of rows into the physical data dictionaries, the catalog searches could become a little bit slower. Having some better performance optimization might help with this minor issue.
Collibra Data Intelligence Platform is highly regarded for its great data governance and data intelligence capabilities. Sometimes the user interface could be made a little bit easier. When it comes to integration depth, Collibra Data Intelligence Platform does integrate with a lot of popular data tools and platforms, but it would be helpful if they could extend deeper native integrations with many new emerging cloud-native data ecosystems. They have introduced AI-driven features, including a semantic model and automatic DQ issue detection, but if they could further expand their AI automation in terms of predictive data governance recommendations, that could further drive the efficiency and proactive data management. Pricing and licensing are always a concern for organizations. Nowadays, organizations would like to see more flexible licensing models or transparent pricing tiers so that it aligns better with the management funding budgets. Those are a couple of areas where Collibra Data Intelligence Platform as a product offering could be further improved.
The main advantage of Purview is its integration with Microsoft solutions. Data can be harvested from any solution within Azure, data fabric, or other platforms easily with Purview. With Collibra Data Intelligence Platform, users need to create and establish connections, which requires entering connection details. This process is more time-consuming in Collibra Data Intelligence Platform compared to Purview, where everything can be done in minutes. Additionally, Purview includes data products, which Collibra Data Intelligence Platform is currently introducing. For stakeholders, data products are crucial.
Collibra Platform is preferred for workflows, data lineage, and a user-friendly interface. It enhances metadata management with robust collaboration, flexible customization, and powerful reporting, aiding organizations in effective data management.Collibra Platform provides dependable solutions for metadata management, data lineage, and governance. It strengthens data governance with cataloging, glossaries, automation, and integration, supporting compliance and data quality management....
A separate team did the setup for this tool and was involved in setting it up. When they were doing the setup, it was a significant upfront investment in terms of the configuration, modeling, and governance design because the team first had to define the domains, the assets, and the roles. That takes time, and in the insurance environment where we had many legacy systems, this increased the setup effort. It would be helpful if Collibra Platform could have industry specific starter templates that could accelerate adoption. As we ingested more and more metadata, sometimes the catalog searches became slower by a fraction of a second because there was more metadata in the tool. After inserting millions of rows into the physical data dictionaries, the catalog searches could become a little bit slower. Having some better performance optimization might help with this minor issue.
Collibra Platform can be improved by adding more connectors to the ecosystems.
Collibra Data Intelligence Platform is highly regarded for its great data governance and data intelligence capabilities. Sometimes the user interface could be made a little bit easier. When it comes to integration depth, Collibra Data Intelligence Platform does integrate with a lot of popular data tools and platforms, but it would be helpful if they could extend deeper native integrations with many new emerging cloud-native data ecosystems. They have introduced AI-driven features, including a semantic model and automatic DQ issue detection, but if they could further expand their AI automation in terms of predictive data governance recommendations, that could further drive the efficiency and proactive data management. Pricing and licensing are always a concern for organizations. Nowadays, organizations would like to see more flexible licensing models or transparent pricing tiers so that it aligns better with the management funding budgets. Those are a couple of areas where Collibra Data Intelligence Platform as a product offering could be further improved.
In terms of improvements, I would highlight a few points that could be enhanced in the Collibra Data Intelligence Platform.
The main advantage of Purview is its integration with Microsoft solutions. Data can be harvested from any solution within Azure, data fabric, or other platforms easily with Purview. With Collibra Data Intelligence Platform, users need to create and establish connections, which requires entering connection details. This process is more time-consuming in Collibra Data Intelligence Platform compared to Purview, where everything can be done in minutes. Additionally, Purview includes data products, which Collibra Data Intelligence Platform is currently introducing. For stakeholders, data products are crucial.