Collibra Data Intelligence Cloud vs. IBM Cloud Pak for Data

Collibra is well suited where you have multiple reporting environments and multiple source systems. Collibra works well in our environment because we can delegate roles and administration to departments or it can be used in a centralized environment. The ability to customize attributes and assets as well and integrate using the rest api is very important to us.

Incentivized

IBM Cloud Pak for Data is best suited for data and analytics scenarios. Clients working with AI/ML-based models looking for analytical capabilities can make the best out of the service offering. Model generation and customization-based scenarios are well-handled by IBM Cloud Pak for Data. A startup with a strict budget that wants to implement an AI/ML-based solution would not be an ideal scenario for using this product due to budget limitations.

Incentivized

• Data Lineage and traceability
• Easy to customize
• Easy tool to use for business users
• Workflow
• Out of the box metrics

Incentivized

• the fastest execution of queries
• business critical support and redundancy in design for almost 100% uptime
• ties in with many other IBM offerings such as Watson
• support at IBM is unbeatable with experts available before and after the sale to assist clients

Incentivized

• Data Quality and Data Profiling
• Mobile interface

Incentivized

• Basically I feel price is not very pocket friendly especially for the small business organisation. Should introduce flexible pricing plans.
• The templates can sometimes be to cumbersome to customize and there are more manual steps when it comes to down time.

Incentivized

Collibra offers more features [than alternatives] and is easy for business users to use. We did a proof of concept with Collibra using the Cloud service that allowed us to kick the tires and get a comfort level before we made the investment. At the time of our purchase the market was very immature and is continuing to evolve.

Incentivized

The best thing about IBM Cloud it foster productivity by enabling users to find existing data or to request access to data. It provides modern tools that facilities analytics and remove silos, barriers to collaboration, thus enables users to spend less time finding data more time using it effectively. It overall enables us to put our data to work quickly and efficiently.

Incentivized

• ROI is hard to measure because there are so many soft benefits that come from the tool. We do have a variety of metrics that we track using Collibra to better gauge the maturity of data governance.

Incentivized

• Saves lots of time by predicting outcomes faster using a platform built with data fabric architecture.
• Easy to collect, organize and analyze data no matter where it is.
• Manual catalog is eliminated to save costs.
• Drive responsible, transparent and explainable AI workflow to operationalize AI and mitigate risks and regulatory compliance.

Incentivized