

BigID Next and Collibra Platform are competing in the data management and governance category. BigID Next has the upper hand in data protection and scanning features, while Collibra Platform excels in workflow and collaboration capabilities.
Features: BigID Next is known for powerful data classification, seamless integration with Microsoft platforms, and support for various data types, both structured and unstructured. It provides advanced data protection and handles large data volumes efficiently. On the other hand, Collibra Platform offers exceptional workflows, data lineage features, and metadata management. It integrates smoothly with diverse environments, fostering collaborative data governance and advanced lineage mapping.
Room for Improvement: BigID could enhance file visibility and data security features and needs improvements in UI navigation and API flexibility. It also faces reliability issues regarding scans. Collibra can improve integration with legacy systems, enhance API automation, and make its UI more user-friendly. Its metadata management could also use refinement.
Ease of Deployment and Customer Service: BigID is flexible, supporting deployment across private clouds, hybrids, and on-premises, with responsive technical teams. Some users experience support delays but generally express high satisfaction. Collibra is versatile, too, with strong cloud integration but occasional struggles with legacy systems. Its support receives positive feedback but can be delayed by hierarchy issues.
Pricing and ROI: BigID is seen as expensive but justifiable for organizations needing advanced compliance features, yielding good ROI through efficient regulatory adherence. It's less ideal for smaller businesses due to cost. Collibra's pricing fits its enterprise-grade offerings, providing significant ROI through effective data governance. It appears costly initially but often proves valuable for large deployments.
It is one of the best tools in the market.
We have seen returns across all three aspects: fewer employees needed, money saved, and time saved with BigID.
I have seen a return on investment from using BigID, particularly as it is a regulatory and compliance tool that helps avoid potential penalties for non-compliance.
When considering the time and effort required to build a catalog and utilize it effectively, combined with the prices, it often does not make financial sense.
Implementing Collibra Data Catalog can be cost-effective if its features align well with the business requirements.
While there are no direct cost reductions, there is significant indirect cost reduction.
BigID has one of the best technical support teams.
I would rate the customer support a six because you cannot directly reach out to L3 or L2 support if there's a major issue.
developing the custom connectors was relatively easy because of the courses I attended at BigID University and the support given by the BigID engineering team.
When using the Collibra Resident Architect program, the customer service was excellent, with issues quickly resolved.
The technical support from Collibra Governance is excellent.
I encountered some issues with data quality initially in Collibra Data Intelligence Platform, and they resolved those issues.
I have added very large data sources to the BigID environment, and it remains stable.
BigID is scalable, allowing you to purchase as many scanners as you want.
We were a big bank and had thousands of assets without any issues.
It is very critical for a data governance tool to be stable and scalable because we start with critical data sets in one line of business, but ultimately, we want to cover the enterprise and all lines of businesses.
Collibra Lineage's performance is reliable, as the lineage harvest runs on the lineage server which operates on Collibra cloud.
BigID is generally stable, however, there is a noted issue with bulk tagging that can affect scan results.
I rate the stability of Collibra Lineage as seven.
There is also an issue with incident tagging, where all objects get tagged without an option to untag specific ones, and reverting changes is only possible through MongoDB Central, which can lead to data loss for certain periods.
I want them to focus on data mapping, assessment, automation workflow, and privacy incident management.
BigID deserves recognition for the data discovery part, which has been wonderful and quite accurate, along with the confidence level process that allows us to fine-tune results for better accuracy from the database.
Users often find it challenging to utilize data governance tools, with ease of use ranked as an important criterion by 2028 standards.
There should be a reduction in cost as compared to other tools.
There is an issue with Collibra Catalog's pricing model, especially for organizations with many databases, as the initial package comes with a limited number of connectors.
BigID might be expensive as it involves various paid services, like data retention and graphic rights management.
The pricing is competitive in the market, however, I need to ask for the right price.
Collibra has high initial costs for licensing that can be a barrier to small and medium-sized companies starting with it.
There are plans to increase license rates.
Adding modules like Privacy could become expensive.
One of the best features of BigID is its strength in data discovery and governance.
BigID simplifies things by integrating both data protection and data privacy in one environment, making it easier for end users.
The most valuable feature of BigID is its large number of classifiers, which allow us to scan for specific data such as SSN numbers.
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.
We have saved up to 30% of manual work as a specific process or workflow became faster.
Collibra Platform will identify that this column appears to have social security numbers and will mask those columns automatically.
| Product | Market Share (%) |
|---|---|
| Collibra Platform | 9.2% |
| BigID | 5.2% |
| Other | 85.6% |

| Company Size | Count |
|---|---|
| Small Business | 5 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 9 |
| Large Enterprise | 55 |
BigID Next offers advanced data discovery, classification, and governance tools, streamlining compliance with privacy laws while integrating seamlessly with Microsoft platforms.
BigID Next provides comprehensive data management through machine learning-enhanced capabilities, supporting data discovery and classification for both structured and unstructured data. By simplifying processes for GDPR and CCPA compliance, and facilitating data scanning and mapping across databases, it optimizes data management. Automation is central to its design, with solutions for DSAR requests, organizing data with security labels, and ensuring a holistic organizational data view. Improvements in navigation, bug fixes, and scan reliability remain essential, along with enhancing classifiers for broader region coverage.
What features does BigID Next offer?BigID Next is commonly implemented in industries needing robust data governance, such as finance and healthcare, where data privacy and compliance with regulations are critical. It aids in scanning and classifying extensive data volumes, helping businesses maintain regulatory compliance while managing data risks effectively.
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. Despite challenges with integration and metadata ingestion, the platform is vital for data governance programs, offering comprehensive AI capabilities and streamlined processes for enterprise data management.
What are Collibra Platform's key features?In industries, Collibra Platform supports IT teams through metadata management and data quality assurance. It is widely used for compliance initiatives like GDPR, speeding up digital transformation and enforcing policy management. Organizations employ it to consolidate business and technical metadata, ensuring effective enterprise-scale data management in diverse sectors.
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