

erwin Data Intelligence and Collibra Platform are competing data governance solutions. Collibra Platform has the upper hand due to its comprehensive features, appealing to technical buyers for its perceived value.
Features: erwin Data Intelligence provides data cataloging, data lineage, and metadata management with a focus on integrating with existing data modeling tools. Collibra Platform emphasizes enterprise-scale data management, governance, and collaboration, offering advanced data quality and stewardship capabilities, establishing a robust ecosystem.
Ease of Deployment and Customer Service: erwin Data Intelligence enjoys easier integration with flexibility in various environments and is supported by responsive customer service. Collibra Platform, while more complex in deployment, supports enterprise-level environments with strong professional services, requiring more initial effort.
Pricing and ROI: erwin Data Intelligence is more affordable with competitive setup costs, appealing to budget-conscious buyers, and offers faster ROI through easier integration. Collibra Platform, demanding a higher investment, justifies its price with a superior feature set and long-term benefits, suiting those seeking extensive data governance capabilities.
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.
Compared to competitor products like Collibra, erwin Data Intelligence is more cost-effective, providing a data catalog and data lineage views without the high costs associated with governance software.
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.
Quest technical support is very good, as they provide not only a technical help desk but also a data automation team that creates and customizes smart connectors, offering a wealth of skilled support.
We were a big bank and had thousands of assets without any issues.
Collibra Lineage's performance is reliable, as the lineage harvest runs on the lineage server which operates on Collibra cloud.
I would rate the scalability of Collibra Lineage as a nine; it is a scalable solution for my business.
Regarding scalability, I would rate erwin Data Intelligence as an eight or nine for its ability to expand.
I rate the stability of Collibra Lineage as seven.
From my perspective, I would rate the stability of erwin Data Intelligence as an eight or nine out of ten.
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.
The dashboard in erwin Data Intelligence is customizable, and you can easily create different views.
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.
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.
The data lineage feature is beneficial for understanding where data is coming from.
This feature is probably the most valuable because it allows for automated reverse engineering of lineage.
| Product | Market Share (%) |
|---|---|
| Collibra Platform | 9.6% |
| erwin Data Intelligence | 1.9% |
| Other | 88.5% |

| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 9 |
| Large Enterprise | 53 |
| Company Size | Count |
|---|---|
| Small Business | 2 |
| Midsize Enterprise | 4 |
| Large Enterprise | 14 |
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.
Erwin Data Intelligence drives automation, supports data catalog and literacy, and offers Smart Data Connectors for efficient metadata handling. Its customization flexibility and integration facilitate enhanced data governance, visualization, analysis, and compliance.
Erwin Data Intelligence offers automation scripts that accelerate development, integrated data cataloging, data profiling, and lineage analysis to streamline information management. Users appreciate its capability in metadata harvesting, code engineering, and infrastructure integration. The tool provides flexibility to enhance governance and data visualization. While it performs well, users have noted challenges with API robustness and interface complexity, and there are opportunities to improve workflow integration, AI features, and large dataset handling. Companies rely on it for metadata management, automation of metadata mappings, and data governance to support compliance and literacy.
What are the main features of Erwin Data Intelligence?In industries such as finance, healthcare, and retail, organizations implement Erwin Data Intelligence for efficient metadata management and governance. It assists in automating lineage and mapping, supporting ETL procedures while enhancing compliance and data literacy efforts. Its flexibility and integration support create valuable data insights and governance improvements.
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