Collibra Catalog Reviews

Name: Collibra Catalog
Brand: Collibra
Rating: 4.0 (11 reviews)

4.0 out of 5

11 reviews
100% willing to recommend

What is Collibra Catalog?

Collibra Catalog is both a report and a data catalog that helps analysts and information users spend less time looking for essential clinical, financial, and operational data and more time solving critical business challenges.

Get the Collibra Catalog Buyer's Guide and find out what your peers are saying about Collibra Catalog, Informatica Intelligent Data Management Cloud (IDMC), SAP PowerDesigner and more!

Collibra Catalog is the #3 ranked solution in top Metadata Management solutions. PeerSpot users give Collibra Catalog an average rating of 8.0 out of 10. Collibra Catalog is most commonly compared to Informatica Intelligent Data Management Cloud (IDMC): Collibra Catalog vs Informatica Intelligent Data Management Cloud (IDMC). Collibra Catalog is popular among the large enterprise segment, accounting for 78% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 31% of all views.

Helped 863,776 peers since 2012

Featured Collibra Catalog reviews

Tejbir Singh

Engagement Manager at Fractal

When I initially started with Collibra, it was just a data cataloging platform with governance workflows around it. Now they have acquired a lot of other tools, or they have merged or acquired different platforms. It is a complete suite of tools for managing data. We can monitor data quality and take actions on the profiling results obtained by running data quality checks. Collibra helps catalog data assets, monitor the health of data assets, and take necessary actions. If we find data quality issues, it also provides a medium to capture those issues and how to remediate them. The workflows allow the creation of custom workflows based on needs. The newest addition in their tool suite is AI governance, which allows cataloging all AI models currently deployed or even in the pre-production stage. It helps document model meanings and the risks involved, thus managing all risks related to AI deployments.

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Aditya Pawar

Solutions Architect at DTSQUARED

For data discovery, we create datasets. The most frequently used datasets are featured on the dashboard. Users can create their own if their requirements aren't met by the most frequently used datasets. We also create data requests, and owners can approve these requests, which adds a process layer to accessing particular datasets. So, it has been effective for data discovery in our company. I use different functionalities within the tool. I use Collibra Catalog for metadata management or Collibra Lineage for data governance. Once configured, data in the Catalog will be automatically updated, reducing the need for manual maintenance. So, the automation feature has positively impacted our data management tasks.

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reviewer2696502

Data and Analytics Manager at a insurance company with 10,001+ employees

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. This can lead to manual efforts to connect more databases, increasing costs. It would be beneficial if they offered more connectors as part of the initial package.

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Collibra Catalog mindshare

As of July 2025, the mindshare of Collibra Catalog in the Metadata Management category stands at 11.8%, up from 10.2% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Metadata Management

PeerResearch reports based on Collibra Catalog reviews

Type	Title	Date
Category	Metadata Management	Jul 29, 2025	Download
Product	Reviews, tips, and advice from real users	Jul 29, 2025	Download
Comparison	Collibra Catalog vs Informatica Intelligent Data Management Cloud (IDMC)	Jul 29, 2025	Download
Comparison	Collibra Catalog vs Alation Data Catalog	Jul 29, 2025	Download
Comparison	Collibra Catalog vs SAP PowerDesigner	Jul 29, 2025	Download

Title	Rating	Mindshare	Recommending
Informatica Intelligent Data Management Cloud (IDMC)	4.0	23.5%	93%	185 interviews Add to research
SAP PowerDesigner	3.9	4.6%	86%	35 interviews Add to research

Valuable Features

Collibra Catalog excels with features like data quality checks, ensuring data accuracy and completeness. Its data lineage visualization enhances data governance and migration projects. Users appreciate metadata management automation, enabling efficient metadata extraction. Combining customizability with ease of use, it supports data dictionaries creation and custom workflows. Business glossary and integration options improve data discoverability and organization. AI governance, metadata refreshing, and marketplace connections highlight its comprehensive capabilities and scalability.

"Gartner identifies Collibra Catalog as the leader, which aligns with our observations."
"Using lineage and Collibra Catalog has helped me overall improve the trust and transparency regarding data origin and transformation."
"The most valuable features of Collibra Catalog are its customizability and ease of use."

Room for Improvement

Collibra Catalog could improve integration capabilities with diverse sources, enhance automation and AI features, and address pricing issues related to database connections. The platform's user experience should be more intuitive, appealing to non-technical users. Improvements in natural language search capabilities are also crucial. Enhancements in data quality landscape and automation for access provisioning are essential, offering substantial efficiency gains.

"One of the very key drawbacks is that automation for access provisioning is not available. If I discover a data set or data product in the marketplace and want to access the data, this feature doesn't exist at all."
"In Collibra Catalog, the main area that has room for improvement is the search functionality. It should be more natural language oriented instead of searching for exact names."
"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."

Pricing

Collibra Catalog offers pricing aligned for enterprises with a per-user licensing model. Users find it fairly priced, rating it seven out of ten, though it's recognized among the costliest in the data catalog market, comparable to Informatica. Adding modules like Privacy can increase costs. Custom connectors incur additional expenses due to limited pre-built options. Best suited for established companies, its setup is easy, and pricing plans are subject to future increases.

"Collibra offers a per-user licensing model."
"The product is highly priced compared to other vendors."
"Collibra Catalog is fairly priced - I would rate their pricing seven out of ten."

Popular Use Cases

Collibra Catalog is employed for metadata cataloging, data management, and governance. Organizations utilize it to construct data catalogs, ensuring alignment through consistent business term definitions. It supports metadata enrichment, links business and technical terms, and manages data lineage, classifications, and access workflows. Users document metadata, including glossaries and schematics, and integrate data from various databases. The tool enhances metadata accessibility and facilitates data stewardship and workflow approval processes.

Service and Support

Collibra Catalog customer service receives mixed feedback. Improvements have been noted with a helpful knowledge base. Some users find the support good, rating it seven to eight, while suggesting quicker response times. Responses can depend on licensing tiers, with enterprise clients receiving better support. Specific consultants are needed for integration with cloud services. Users of the Resident Architect program experience prompt service, but without it, response times range from 24-48 hours. Documentation clarity is also suggested for improvement.

Deployment

Users found the initial setup of Collibra Catalog varied in complexity and duration. Some deemed it complex, taking days, while others found it straightforward, done in minutes. Setup depended on deployment platform, whether cloud or on-premises. Configurations required connection between data tools and Collibra. User feedback mentioned challenges with accessibility and optimal license determination. Successful implementation benefited from an in-house architect. Feeding business data and creating workflows presented further challenges.

Scalability

Collibra Catalog is praised for its scalability, receiving ratings between six and nine out of ten. Users find it suitable for large organizations, with the ability to configure different data sources efficiently. Some noted challenges with manual scaling, but many find the approach robust. Authentication flexibility and decentralized configuration contribute to its scalability. Despite some complexities, users successfully integrate Collibra Catalog widely across different environments and organizations.

Stability

Many users consider Collibra Catalog quite stable, with most ratings around seven to nine out of ten. Stability aspects receive praise, and several users appreciate its satisfactory performance level. Users report minimal issues, highlighting high uptime standards and good server performance. Quarterly updates contribute to maintaining its stability. Although response time is mentioned as a concern, complaints about its overall stability remain rare. Users generally express satisfaction with Collibra Catalog compared to other market options.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our Collibra Catalog Buyer's Guide for additional reliable information.