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Azure Data Factory vs Collibra Platform comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
5.5
Users praise Azure Data Factory for improved ROI through cost savings, enhanced integration, and increased operational efficiency and satisfaction.
Sentiment score
5.1
Collibra Platform enhances efficiency and productivity, cutting data search time, reducing costs, and improving data governance and revenue.
Our stakeholders and clients have expressed satisfaction with Azure Data Factory's efficiency and cost-effectiveness.
Data Engineer at Vthinktechnologies
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.
Senior Consultant at Infosys
A lot of time gets saved in data search, data discovery, and data analysis, which translates into a good return on investment.
Data Governance And Quality Consultant at a consultancy with 1,001-5,000 employees
Implementing Collibra Data Catalog can be cost-effective if its features align well with the business requirements.
Enterprise Cloud and AI Security Architect at a security firm with 10,001+ employees
 

Customer Service

Sentiment score
6.3
Azure Data Factory support is mixed; praised for responsiveness and documentation, but some find it slow and inadequate.
Sentiment score
6.3
Collibra Platform support is strong, with knowledgeable staff but effectiveness varies by payment tier, impacting response times.
On a scale of one to ten, I would rate the technical support as nine.
Senior Consultant Oracle Technologies at a tech vendor with 10,001+ employees
The technical support from Microsoft is rated an eight out of ten.
Chief Analytics Officer at Idiro Analytics
The technical support is responsive and helpful
Sr. Technical Architect at Hexaware Technologies Limited
There were weekly sessions with them that covered the loads and highlighted when it exceeded a threshold.
Technical Manager at a recruiting/HR firm with 11-50 employees
They provide quick and high-quality responses.
Master Data Manager at a recruiting/HR firm with 51-200 employees
When using the Collibra Resident Architect program, the customer service was excellent, with issues quickly resolved.
Data and Analytics Manager at a insurance company with 10,001+ employees
 

Scalability Issues

Sentiment score
7.4
Azure Data Factory is praised for its scalability and flexibility, despite some integration issues in older tiers.
Sentiment score
7.0
Collibra Platform offers scalable data management for enterprises, but requires technical expertise and good governance for optimal performance.
Azure Data Factory is highly scalable.
Chief Analytics Officer at Idiro Analytics
I did not experience scalability issues.
Principal Data Engineer at Oracle
We were a big bank and had thousands of assets without any issues.
Data and Analytics Manager at a insurance company with 10,001+ employees
Our organization has more than 10,000 employees without any glitch, without any hang, and without any slowness.
Senior Consultant at Morgan Stanley
It can handle growth in users, assets, metadata, and integrations, but it requires good governance and administration.
Master Data Manager at a recruiting/HR firm with 51-200 employees
 

Stability Issues

Sentiment score
7.7
Azure Data Factory is stable and dependable, despite occasional connection issues and challenges with SQL query optimization.
Sentiment score
8.0
Collibra Platform is stable and efficient with minor glitches, requires minimal maintenance, and handles large data effectively.
The solution has a high level of stability, roughly a nine out of ten.
Chief Analytics Officer at Idiro Analytics
I have been using Azure Data Factory for a very long time, and I did not find too many issues.
Principal Data Engineer at Oracle
The performance and reliability of Collibra Platform is excellent since we use the SaaS cloud offering.
Master Data Manager at a recruiting/HR firm with 51-200 employees
It does not lag, and it can handle large volumes of data in less time.
Data Governance And Quality Consultant at a consultancy with 1,001-5,000 employees
Collibra Platform is stable.
Technical Manager at a recruiting/HR firm with 11-50 employees
 

Room For Improvement

Azure Data Factory users experience setup complexity, connectivity issues, and seek improved performance, automation, and integration with other platforms.
Collibra Platform needs workflow, UI, search, integration, and performance enhancements, with improved documentation, pricing, and simplified navigation.
The ability to handle the largest volumes of data is another concern; if I have to manage more than one terabyte of data every day, I am not comfortable dealing with Azure Data Factory and had to switch to Oracle Data Integrators (ODI) because it lacks performance features.
Senior Consultant Oracle Technologies at a tech vendor with 10,001+ employees
Incorporating more dedicated API sources to specific services like HubSpot CRM or Salesforce would be beneficial.
Chief Analytics Officer at Idiro Analytics
Sometimes, the compute fails to process data if there is a heavy load suddenly, and it doesn't scale up automatically.
Sr. Technical Architect at Hexaware Technologies Limited
Users often find it challenging to utilize data governance tools, with ease of use ranked as an important criterion by 2028 standards.
Analytics Head of Data Management at King Abdullah University of Science and Technology
Integration with tools such as Power BI, Tableau, or notebooks would be great for handling large data processing.
Data Engineer
Leveraging AI could simplify the process by automatically listing assets for movement, requiring only a couple of clicks, providing a win for administration purposes.
Senior IT Consultant at a tech services company with 201-500 employees
 

Setup Cost

Azure Data Factory provides cost-effective, usage-based pricing suitable for various budgets, with expenses depending on data volume and services.
Collibra Platform's pricing is high but effective for enterprises, with cost challenges for smaller organizations due to additional modules.
The pricing is cost-effective.
Chief Analytics Officer at Idiro Analytics
It is considered cost-effective.
Sr. Technical Architect at Hexaware Technologies Limited
Collibra has high initial costs for licensing that can be a barrier to small and medium-sized companies starting with it.
Company Owner, Data Consultant at Telenet BVBA
There are plans to increase license rates.
Analytics Head of Data Management at King Abdullah University of Science and Technology
Adding modules like Privacy could become expensive.
Data and Analytics Manager at a insurance company with 10,001+ employees
 

Valuable Features

Azure Data Factory offers scalable ETL solutions with user-friendly interface, seamless Azure integration, robust orchestration, and effective dataset handling.
Collibra Platform offers AI-driven data governance, compliance management, and streamlined access with a user-friendly, integrative interface.
It connects to different sources out-of-the-box, making integration much easier.
Sr. Technical Architect at Hexaware Technologies Limited
The platform excels in handling major datasets, particularly when working with Power BI for reporting purposes.
Data Engineer at Vthinktechnologies
Regarding the integration feature in Azure Data Factory, the integration part is excellent; we have major source connectors, so we can integrate the data from different data sources and also perform basic transformation while transforming, which is a great feature in Azure Data Factory.
Director at a computer software company with 1,001-5,000 employees
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.
Consulting Principal & Founder at Digital Data Consultancy
We have saved up to 30% of manual work as a specific process or workflow became faster.
Data scientist at a wholesaler/distributor with 1-10 employees
Another important feature is the data lineage, which helps in impact assessment before making any changes, showing where a particular field is being used in a report, data quality report, or normal report.
Senior IT Consultant at a tech services company with 201-500 employees
 

Categories and Ranking

Azure Data Factory
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
96
Ranking in other categories
Data Integration (5th), Cloud Data Warehouse (7th)
Collibra Platform
Average Rating
7.8
Reviews Sentiment
6.2
Number of Reviews
90
Ranking in other categories
Data Governance (1st), Metadata Management (1st), AI Governance (1st)
 

Mindshare comparison

Azure Data Factory and Collibra Platform aren’t in the same category and serve different purposes. Azure Data Factory is designed for Data Integration and holds a mindshare of 2.3%, down 7.6% compared to last year.
Collibra Platform, on the other hand, focuses on Data Governance, holds 8.4% mindshare, down 12.4% since last year.
Data Integration Mindshare Distribution
ProductMindshare (%)
Azure Data Factory2.3%
Informatica Intelligent Data Management Cloud (IDMC)3.7%
SSIS3.7%
Other90.3%
Data Integration
Data Governance Mindshare Distribution
ProductMindshare (%)
Collibra Platform8.4%
Microsoft Purview Data Governance9.4%
Varonis Platform5.0%
Other77.2%
Data Governance
 

Featured Reviews

KandaswamyMuthukrishnan - PeerSpot reviewer
Director at a computer software company with 1,001-5,000 employees
Integrates diverse data sources and streamlines ETL processes effectively
Regarding potential areas of improvement for Azure Data Factory, there is a need for better data transformation, especially since many people are now depending on DataBricks more for connectivity and data integration. Azure Data Factory should consider how to enhance integration or filtering for more transformations, such as integrating with Spark clusters. I am satisfied with Azure Data Factory so far, but I suggest integrating some AI functionality to analyze data during the transition itself, providing insights such as null records, common records, and duplicates without running a separate pipeline or job. The monitoring tools in Azure Data Factory are helpful for optimizing data pipelines; while the current feature is adequate, they can improve by creating a live dashboard to see the online process, including how much percentage has been completed, which will be very helpful for people who are monitoring the pipeline.
AK
Senior Consultant at Morgan Stanley
Data governance has transformed business glossaries and now drives AI-ready insights
I think it's a great platform. Searching can be made a little better. The data marketplace which it provides is also great, but sometimes when we are searching an element and we know we are not sure if we can find it or if we have missed it. Listing data domains in one place for quick visibility will be an add-on. I am not a hardcore coder. For a coder to create workflows and automate the process, I needed to learn Groovy script and create some workflows. In the automation part, I think it can also introduce a low-code, no-code platform where we can connect different connectors and we can quickly create some automated workflows, if at basic level only, because the next big thing is automation and AI. Low-code, no-code platforms are being used by everyone. I think that will be useful. When I look for a data domain, I'm not able to find it very quickly. For a business owner to know data domains and search data domains, it could be made a little easier. Also, the automation part needs improvement. We are only able to enter the data manually or connect to a data source, but now we want to create some workflows as well. That's why I've chosen a rating of eight. Otherwise, it's really great.
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Computer Software Company
9%
Manufacturing Company
9%
Construction Company
6%
Financial Services Firm
16%
Computer Software Company
10%
Manufacturing Company
8%
Outsourcing Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business31
Midsize Enterprise21
Large Enterprise63
By reviewers
Company SizeCount
Small Business24
Midsize Enterprise14
Large Enterprise63
 

Questions from the Community

How do you select the right cloud ETL tool?
AWS Glue and Azure Data factory for ELT best performance cloud services.
How does Azure Data Factory compare with Informatica PowerCenter?
Azure Data Factory is flexible, modular, and works well. In terms of cost, it is not too pricey. It offers the stability and reliability I am looking for, good scalability, and is easy to set up an...
How does Azure Data Factory compare with Informatica Cloud Data Integration?
Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power Q...
What needs improvement with Collibra Data Intelligence Platform?
The user experience of Collibra Platform could be better. Even though there is a large research tab, I think it could be more customizable, meaning I could add filters. Currently, it does not have ...
What is your primary use case for Collibra Data Intelligence Platform?
My main use case for Collibra Platform is data governance and traceability of data sources. For governance or traceability in my work, I can provide a specific example: we migrated a couple of data...
What advice do you have for others considering Collibra Data Intelligence Platform?
The advice I would give to others looking into using Collibra Platform is that every tool has a learning curve. They should pursue it; Collibra Platform is a very well-developed and well-explained ...
 

Also Known As

No data available
Data Intelligence Platform, Collibra AI Governance, Collibra Catalog, Collibra Governance, Collibra Lineage, Collibra Privacy & Risk
 

Overview

 

Sample Customers

1. Adobe 2. BMW 3. Coca-Cola 4. General Electric 5. Johnson & Johnson 6. LinkedIn 7. Mastercard 8. Nestle 9. Pfizer 10. Samsung 11. Siemens 12. Toyota 13. Unilever 14. Verizon 15. Walmart 16. Accenture 17. American Express 18. AT&T 19. Bank of America 20. Cisco 21. Deloitte 22. ExxonMobil 23. Ford 24. General Motors 25. IBM 26. JPMorgan Chase 27. Microsoft (Azure Data Factory is developed by Microsoft) 28. Oracle 29. Procter & Gamble 30. Salesforce 31. Shell 32. Visa
AXA XL, DNB, Adobe, PMI, Holland America Line, UC Davis Health, Cox Automotive
Find out what your peers are saying about Informatica, Microsoft, Palantir and others in Data Integration. Updated: June 2026.
903,182 professionals have used our research since 2012.