---
title: Collibra Reviews
meta_title: 'Collibra Reviews 2026: Details, Pricing, & Features | G2'
meta_description: Filter 102 reviews by the users' company size, role or industry
  to find out how Collibra works for a business like yours.
aggregate_rating:
  rating_value: 4.2
  review_count: 102
  scale: '5'
date_modified: '2026-07-07'
parent_category:
  name: IT Management
  url: https://www.g2.com/categories/it-management
---

# Collibra Reviews
**Vendor:** Collibra  
**Category:** [Data Governance Tools](https://www.g2.com/categories/data-governance-tools)  
**Average Rating:** 4.2/5.0  
**Total Reviews:** 102
## About Collibra
Try Collibra for free @ Collibra.com/tour Collibra is for organizations with complex data challenges, hybrid data ecosystems—and big ambitions for data and AI. We help organizations who are trying to accelerate data and AI use cases while ensuring compliance, but are struggling with fragmented governance and visibility across the whole hybrid data ecosystem. Collibra unifies governance for data and AI across every system, data source and user—to create safe autonomy and a foundation for scaling AI and data use cases. With Collibra, you can accelerate all your data and AI use cases, safely and with well–understood data. That’s Data Confidence.



## Collibra Pros & Cons
**What users like:**

- Users value the **unified data intelligence** of Collibra, effectively aligning Business and IT on a single platform. (10 reviews)
- Users value the **unified data intelligence platform** of Collibra, enhancing alignment between Business and IT teams efficiently. (9 reviews)
- Users value the **collaboration features** of Collibra, which unify data governance and streamline stakeholder communication. (7 reviews)
- Users find Collibra to be **intuitive and easy to configure** , enhancing their data management experience significantly. (7 reviews)
- Users value the **seamless integrations** with various tools, enhancing the overall data management ecosystem. (7 reviews)
- Product Improvement (7 reviews)
- Users value **enhanced data governance** with Collibra, ensuring data is trustworthy, accessible, and compliant with regulations. (6 reviews)
- Easy Integrations (6 reviews)
- Efficiency (6 reviews)
- Customer Support (5 reviews)

**What users dislike:**

- Users often face **complexity issues** with Collibra, leading to confusion and inefficiencies in their processes. (7 reviews)
- Users face **limited functionality** in Collibra due to challenging verification and unintuitive navigation, complicating their experience. (6 reviews)
- Users find the **complexity** of Collibra burdensome, hindering efficient onboarding and creating cumbersome workflows and unclear roles. (5 reviews)
- Users face **integration issues** with Collibra, leading to inefficient workflows and frustrating manual processes. (5 reviews)
- Users report **user interface issues** in Collibra, noting navigation challenges and cumbersome complexity that hinder effectiveness. (5 reviews)
- Users find the **complex setup** of Collibra demanding, needing more time and resources than anticipated. (4 reviews)
- Difficult Setup (4 reviews)
- Expensive (4 reviews)
- Users report that **improvement is needed** in Collibra due to cumbersome processes, unclear roles, and technical issues. (3 reviews)
- Inadequate Reporting (3 reviews)

## Collibra Reviews
  ### 1. Powerful Data Governance and Quality Platform

**Rating:** 5.0/5.0 stars

**Reviewed by:** Katerina V. | Professional Data Product Expertise, Enterprise (> 1000 emp.)

**Reviewed Date:** December 22, 2025

**What do you like best about Collibra?**

What I like most about Collibra is its ability to bring Data Governance, the Data Product Store / Marketplace, and Data Quality together in one integrated platform. It provides transparency, clear ownership, and a structured approach to managing data across the organization, while also supporting collaboration between business and IT. This makes it easier to trust data, improve data quality, and scale governance in a consistent way.

**What do you dislike about Collibra?**

1. While Collibra is a powerful platform, some configurations and workflows can feel complex at first and require a learning curve, especially for new users. 2. There is a learning curve in the beginning, particularly when working with advanced governance and data quality use cases.

**What problems is Collibra solving and how is that benefiting you?**

Collibra addresses key challenges such as lack of transparency, unclear data ownership, and inconsistent data quality across systems. By providing a centralized platform for Data Governance, Data Quality, and integration with the Data Product Store/ marketplace, it helps ensure consistent definitions, accountability, and trust in data. This benefits us by improving decision-making, reducing manual effort, and enabling better collaboration between business and IT.

  ### 2. Collibra Data Quality Module

**Rating:** 5.0/5.0 stars

**Reviewed by:** Frank L. | AVP, Data Architecture, Enterprise (> 1000 emp.)

**Reviewed Date:** January 09, 2023

**What do you like best about Collibra?**

Collibra has improved a lot over the past few years. I really like it as a unified data intelligence platform that brings together Catalog, Governance, Lineage, Quality, and AI Governance. It’s very helpful for CDO teams to align Business and IT in a single platform and speak the same language.

**What do you dislike about Collibra?**

The things I don’t like about Collibra are the pricing and the adoption challenges. The learning curve is steep —especially when it comes to using the platform, setting up hierarchies, and configuring lineage diagrams. Sometimes having too many flexible options becomes a headache for end users.

**What problems is Collibra solving and how is that benefiting you?**

Develop a simple, one-stop solution. The new version is much more powerful than the previous one, though the reporting component still has room for improvement. I trust the CPO will continue to elevate Collibra to the next level. The platform is moving in the right direction, with stronger capabilities and a clearer vision. If Collibra continues to simplify the user experience while enhancing performance, it will drive even broader adoption across the organization.

  ### 3. Empowers Data Management and Boosts Trustworthiness

**Rating:** 5.0/5.0 stars

**Reviewed by:** shib b. | Program Project management Advisor, Small-Business (50 or fewer emp.)

**Reviewed Date:** November 12, 2025

**What do you like best about Collibra?**

manage and govern their data assets, making them more trustworthy and accessible.

**What do you dislike about Collibra?**

NA, we are still using it so yet to confirm on the dislikes

**What problems is Collibra solving and how is that benefiting you?**

Collibra is used in Dell Data Lake (DDL), its used in Peer-to-peer data sharing and Customer Engagement Platform (CEP) is the platform to support Marketing Digital TransformationobjectiveP&S =  right message, for the right customer, through the right channel, at the right time…delivered at scaleTo make it happens, Dell needs a platform that can activates data and content for all customer engagementsPine is the place where we centralized Data and make it available

  ### 4. Cumbersome system with limited practical value for HR and policy work

**Rating:** 0.5/5.0 stars

**Reviewed by:** Hana R. | HR Priorities, Projects &amp; Operations Coordinator, Mid-Market (51-1000 emp.)

**Reviewed Date:** October 03, 2025

**What do you like best about Collibra?**

Collibra centralizes information and provides a structured approval process. It helps ensure that policies are visible to multiple stakeholders and keeps an auditable trail of changes. The idea of having one shared platform for governance is good in theory

**What do you dislike about Collibra?**

The system is cumbersome and often slows down work instead of streamlining it. Roles and responsibilities are unclear, so too many people are pulled into reviews, which dilutes accountability. Approvals get stuck in bottlenecks, and integration with other systems is inconsistent. Policy reviews feel like box-checking rather than meaningful discussions, and all comments are treated equally—so SMEs don’t have enough weight. Notifications are excessive, which encourages quick clicks instead of thoughtful engagement. Technical issues (like PDF upload restrictions) are constant frustrations, and user support is limited when problems arise.

**What problems is Collibra solving and how is that benefiting you?**

Collibra is being used as a central governance tool to manage policies and approvals across HR and other functions. It creates an audit trail and gives visibility to multiple stakeholders, which in theory helps with compliance and accountability. It ensures documents are reviewed in a consistent way and keeps everything in one place.

  ### 5. Collibra has offered a great insight in understanding our data

**Rating:** 4.5/5.0 stars

**Reviewed by:** Stephen M. | Senior Business Analyst, Enterprise (> 1000 emp.)

**Reviewed Date:** July 18, 2022

**What do you like best about Collibra?**

Collibra has recently introduced major upgrades like workflow versioning, workspace organization, enhanced lineage for platforms like Databricks and Azure, and AI-powered features such as automated asset descriptions and rule generation. These updates improve data governance, quality, and transparency—making it easier for businesses to manage complex data ecosystems and responsibly scale AI initiatives.

**What do you dislike about Collibra?**

Collibra could be easier to work with in some areas—setting up data ingestion and workflows can take more effort than expected, and mapping specs still feel pretty manual. It’d also help if tools like Edge were a bit more stable and the APIs more consistent, just to cut down on the back-and-forth for technical teams.

**What problems is Collibra solving and how is that benefiting you?**

Data flow across the orgnisation has been a challenge and Collibra helps reveal this to a degree.

  ### 6. Effortless Data Product Descriptions

**Rating:** 5.0/5.0 stars

**Reviewed by:** Lukasz W. | Data Engineer, Enterprise (> 1000 emp.)

**Reviewed Date:** November 06, 2025

**What do you like best about Collibra?**

It's impressive how easily you can describe your data products.

**What do you dislike about Collibra?**

Verifying the code is quite challenging and not straightforward.

**What problems is Collibra solving and how is that benefiting you?**

It addresses the issue I faced when people interested in purchasing my data product would repeatedly have to ask me how to request it and what the tables mean, among other things.

  ### 7. Data Management Consultant working on the configuration and roll out of Collibra.

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Insurance | Enterprise (> 1000 emp.)

**Reviewed Date:** June 18, 2025

**What do you like best about Collibra?**

I find the Customer Support is responds in a very timely manner.

I find it is very easy to relate the core offerings of the platform to key business issues and propose Collibra as the tool that can solve these issues and thus generate value through cost savings.

The documentation makes it very easy to understand what is required for the technical implementation of the platform and integration of it with multiple different data sources.

**What do you dislike about Collibra?**

1. Inaccessible Language
- I find some of the language used within the Collibra tool adds a barrier to rolling it out successfully as it doesn't seem particularly intuitive to me.


]2. Navigation UI/UX
- I find that the biggest barrier to target consumers on site being satisfied with Collibra is navigation. Countless times I hear employees have entered the tool and it has not been intuitive enough for them to find what they want, thus they leave.

**What problems is Collibra solving and how is that benefiting you?**

Helping users find data faster by themselves.
- Reducing reliance on Colleagues.
- Increasing available analytics time.
- Enabling faster data access requests.
- Reduction in duplicate request for analytics (power bi)

Impact assessment (downstream lineage)
- enabling staff to understand the downstream impacts of their actions without having to rely on support from IT support.
- reduction in unintended consequences

Data Quality investigations (upstream lineage)
- enable staff to understand where DQ issues may have come from.
- reduce reliance on IT staff to reverse engineer stored procedures.

  ### 8. Excellent Software Services with No Drawbacks

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Banking | Small-Business (50 or fewer emp.)

**Reviewed Date:** November 04, 2025

**What do you like best about Collibra?**

Good software services deliver reliable, efficient, and user-friendly solutions tailored to client needs. They ensure seamless integration, robust security, timely support, and continuous innovation, enhancing productivity and customer satisfaction across industries and platforms.

**What do you dislike about Collibra?**

Nothing at the moment implies no current tasks, updates, or concerns requiring attention, indicating a temporary pause or state of readiness.

**What problems is Collibra solving and how is that benefiting you?**

Collibra solves key data governance challenges by providing a centralized platform for managing data quality, lineage, and compliance. It helps ensure trusted data across systems, enabling better decision-making, reducing risk, and improving operational efficiency.

  ### 9. Collibra Is Great… But…

**Rating:** 3.5/5.0 stars

**Reviewed by:** Verified User in Hospital & Health Care | Enterprise (> 1000 emp.)

**Reviewed Date:** April 02, 2025

**What do you like best about Collibra?**

Business Term, Metrics and Reporting Catalog. We can now house this info in one platform vs our previous way of keeping data in Excel, Sharepoint slides, multiple areas. Our business users are pleased with the fact that they can now have one place to search for reports vs asking other business users - was very time consuming.

**What do you dislike about Collibra?**

The technical lineage views and diagram views are very confusing for users. It’s hard to view the end to end because of how many nodes there may be.

Confusing for users to understand business lineage vs technical lineage.

**What problems is Collibra solving and how is that benefiting you?**

Business units were struggling  to find data and information. Collibra has helped by decreasing time between DG and business answering these questions since catalog is now available.

Developers would use metrics incorrectly because of different calculations but now have information available in Collibra on how and when to use metrics.

Users had to spend so much time searching for reports but can now search in catalog.

Lineage is helpful for developers when trying to understand source of information

  ### 10. DQ Lead from an international corporation reviewing the Collibra DQ Rapid Start Experience

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Chemicals | Enterprise (> 1000 emp.)

**Reviewed Date:** March 25, 2025

**What do you like best about Collibra?**

Scalability. Previously my organisation used stored procedures automatically triggered on a pipeline to analyse the DQ of data entering the data lake. This meant for every new rule we need to write a new stored procedure each time. Now I can create jobs with multiple rules (and use template rules) which is far quicker than before.

**What do you dislike about Collibra?**

The tool is quite buggy. I am not an infra expert but it seems every 2-4 weeks I have to engage premium support and my infra department to figure out why jobs are not running. Additionally I find when new releases happen there are often times bug fixed but also bug introduced, especially the most recent 2025.02 release.

**What problems is Collibra solving and how is that benefiting you?**

The DQ problem at my organisation was that we had no central system to use for DQ. There was no central process and all DQ activity was essentially reactive and ad hoc. However, now with Collibra this is not the case. We can proactively monitor DQ, have a central system where the datasets, rules and results are all in one place, I can provide access to different jobs and rules to different people.

The benefit to me is ease of use. As I mentioned we use to use stored procedures which required new stored procs being written for every new rule we wanted. Now I can do all of the above in one system which is scalable.


## Collibra Discussions
  - [What is Critical data elements? How to identify CDE.](https://www.g2.com/discussions/what-is-critical-data-elements-how-to-identify-cde) - 2 comments, 1 upvote

- [View Collibra pricing details and edition comparison](https://www.g2.com/products/collibra/reviews/collibra-review-7617847?section=pricing&secure%5Bexpires_at%5D=2026-07-12+01%3A24%3A23+-0500&secure%5Bsession_id%5D=3321095e-a914-4d71-b57b-d381496d5344&secure%5Btoken%5D=a37d13cf048656f22e595ac0a72df23d3f46ae9c3c40ef08583111bf3808336e&format=llm_user)
## Collibra Integrations
  - [Monte Carlo](https://www.g2.com/products/monte-carlo/reviews)
  - [SAP Datasphere](https://www.g2.com/products/sap-datasphere/reviews)

## Collibra Features
**Data Governance**
- User Access Management
- Dynamic Data Masking
- Data Lineage

**Administration**
- Data Modelling
- Workflow Management
- Dashboards and Visualizations

**Functionality**
- Data Subject Access Requests
- Identity Verification
- Privacy Impact Assessments
- Data Mapping - survey-based
- Data Mapping - automated
- Data Discovery
- Data Classification
- De-identification/pseudonymization
- Breach notification
- Consent management
- Website tracking scanning
- Data access governance

**Functionality**
- Centralized platform
- Tracking
- Templates
- Workflow
- Reporting and analytics

**Functionality**
- Structure type
- Contextual search
- Template algorithms
- Custom algorithms
- False-positive management
- Multiple file and location types
- Real-time monitoring
- Dashboard
- Compliance
- Reporting

**Data Management**
- Data Integration
- Data Discovery
- Multi - Platform
- Metadata

**Management**
- Business Glossary
- Data Discovery
- Data Profililng
- Reporting and Visualization
- Data Lineage

**Data management**
- Metadata Management
- Automation Features
- Collaboration
- Data Lineage
- Data Discovery

**Agentic AI - SAP Store**
- Autonomous Task Execution
- Multi-step Planning
- Cross-system Integration
- Adaptive Learning
- Natural Language Interaction
- Proactive Assistance
- Decision Making

**Data Preparation**
- Search
- Data Quality and Cleansing

**Compliance**
- Sensitive Data Compliance
- Training and Guidelines
- Policy Enforcement
- Compliance Monitoring

**Functionality**
- Identity Verification
- Workflow
- DSAR Portal
- Reporting and logs

**Analytics**
- Data Analytics

**Security**
- Access Control
- Roles Management
- Compliance Management

**Reporting**
- Intelligent Insights
- Actionable Insights
- Dashboards

**Agentic AI - Sensitive Data Discovery**
- Autonomous Task Execution
- Multi-step Planning
- Cross-system Integration
- Proactive Assistance

**Collaboration**
- Commenting
- Profiling and Classification
- Business and Data Glossary
- Metadata Management 

**Data Quality**
- Data Preparation
- Data Unification

**Security**
- Compliance
- Governance
- Data Protection

**Maintainence**
- Data Quality Management
- Policy Management

**Generative AI**
- AI Text Generation
- AI Text Summarization

**Artificial Intelligence**
- Machine Learning Recommendations

**Functionality**
- Identification
- Correction
- Normalization
- Preventative Cleaning
- Data Matching

**Generative AI**
- AI Text Generation
- AI Text Summarization

**Generative AI**
- AI Text Generation
- AI Text Summarization

**Management**
- Reporting
- Automation
- Quality Audits
- Dashboard
- Governance

**Generative AI**
- AI Text Generation
- AI Text Summarization

**Agentic AI - Data Governance**
- Autonomous Task Execution
- Multi-step Planning
- Cross-system Integration
- Adaptive Learning
- Natural Language Interaction
- Decision Making

**Agentic AI - Data Fabric**
- Autonomous Task Execution
- Multi-step Planning
- Cross-system Integration
- Adaptive Learning
- Decision Making

**Generative AI**
- AI Text Generation
- AI Text Summarization

**Agentic AI - Machine Learning Data Catalog**
- Autonomous Task Execution
- Multi-step Planning
- Cross-system Integration
- Adaptive Learning
- Decision Making

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