Collibra Platform vs. IBM watsonx.governance

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

We have been able to make the right decisions based on performance metrics. Data assets across the enterprise have experienced significant growth from comprehensive audits that drive quality growth. The platform has filtered out poorly analyzed data from the workflow chain and introduced stable control mechanisms that meet compliance policies.

Incentivized

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

Incentivized

• Supports external AI cloud deployments
• Helps in the implementation of controls based on ISO/IEC 42001 and the NIST AI RMF
• Real-time monitoring

Incentivized

• Data Quality and Data Profiling
• Mobile interface

Incentivized

• Possibility to configure regulatory frameworks where evaluations, documentation, and metrics can be mapped to legal or standard requirements.
• Possibility to generate structured audit packs aligned to standards or regulations such as ISO/IEC 42001 and the EU AI Act.
• Provide pre-built connectors for common GRC platforms such as OneTrust, Vanta or Drata.

Incentivized

Research data can be handled and
governed more effectively to save time and minimize errors. Practical learning helps students
become more marketable to employers by giving them practical experience with
industry-standard tools.
Updates content on AI
governance in courses to make them more appealing to students. Lowers the time
needed to manually check for biases, increasing the validity of research
findings.

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

With its smooth integrations with different AI models and strong compliance tools, IBM watsonx.governance leads in comprehensive data governance. IBM watsonx.governance provides a well-balanced combination of governance, compliance, and integration capabilities in contrast to Dataiku, which concentrates more on data science workflows, and Holistic AI, which stresses AI ethics and risk management. That was my choice because of its robust integration features and comprehensive approach.

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

• It has massively cut down the time our compliance teams spent on preparing compliance packs for EU emissions report. We're talking 4 weeks of manual tracing and spreadsheet validations to just under 3 days now!
• IBM watsonx.governance flags anomalies in shipping data 2 weeks earlier than our older system, saving us thousands by renegotiating contracts before spot prices rise

Incentivized