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Azure Data Factory vs Denodo comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 2024

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
6.4
Azure Data Factory offers significant ROI, efficiency, and cost savings, with users highlighting benefits in data integration and migration.
Sentiment score
5.7
Organizations improved efficiency, achieving faster processing times, positive ROI, and enhanced KPIs due to Denodo's streamlined data management.
Our stakeholders and clients have expressed satisfaction with Azure Data Factory's efficiency and cost-effectiveness.
Data Engineer at Vthinktechnologies
If you don't need to write a whole ETL to make the data virtualization, you need way fewer people to write a query instead of writing an ETL pipeline.
Senior Backend Engineer at a pharma/biotech company with 51-200 employees
 

Customer Service

Sentiment score
6.3
Azure Data Factory support is generally satisfactory, with responsive assistance and strong community resources enhancing user satisfaction.
Sentiment score
7.1
Denodo support is praised for responsiveness and efficiency, though some note occasional setup challenges and bug handling issues.
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
The technical support for Azure Data Factory is generally acceptable.
Solution Architect at Mercedes-Benz AG
They have a good methodology for learning how to use the tool.
Data Architecture and Engineering Specialist at coprocenva
Denodo's customer support team is very competent and responsive.
Datawarehouse & BI consultant, Owner, Mananging partner at NesCon B.V.
If we raise a ticket, it can be resolved or addressed within a reasonable time frame, so support is good.
Principal Architect at a manufacturing company with 10,001+ employees
 

Scalability Issues

Sentiment score
7.4
Azure Data Factory offers scalable cloud-based solutions for diverse operations, despite some third-party integration limitations and use case challenges.
Sentiment score
7.1
Denodo provides scalable data integration for medium to enterprise companies, supporting large user bases and efficient resource management.
Azure Data Factory is highly scalable.
Chief Analytics Officer at Idiro Analytics
For huge data requests, it cannot scale automatically; admin action is required.
Principal Architect at a manufacturing company with 10,001+ employees
While the solution scales well on a single machine, I have doubts about its scalability when deployed as part of a Java component cluster.
Datawarehouse & BI consultant, Owner, Mananging partner at NesCon B.V.
Its complexity in configuring and the requirement to install different connectors for different sources affects its scalability.
Technology Leader at eTCaaS
 

Stability Issues

Sentiment score
7.8
Azure Data Factory is considered highly stable and reliable, though minor issues can occur, mostly in development environments.
Sentiment score
7.0
Denodo is generally stable with occasional connectivity issues, high reliability, and minor resource adjustments for optimal performance.
The solution has a high level of stability, roughly a nine out of ten.
Chief Analytics Officer at Idiro Analytics
I would rate it nine out of ten because it is very reliable, always performing as expected.
Datawarehouse & BI consultant, Owner, Mananging partner at NesCon B.V.
If JVM does not function properly, it may cause Denodo to fail to connect to different sources.
Technology Leader at eTCaaS
Denodo is stable and good.
Data Engineer at a consultancy with 11-50 employees
 

Room For Improvement

Azure Data Factory needs better integration, UI, documentation, data handling, pricing transparency, real-time processing, connectivity, and scheduling.
Denodo's data catalog requires enhanced functionality, user-friendliness, connectivity, integration, scalability, and modern tools for better user experience.
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
There is a problem with the integration with third-party solutions, particularly with SAP.
Solution Architect at Mercedes-Benz AG
Ensuring data caching is up to date is critical.
Director Software Engineer at a computer software company with 10,001+ employees
Denodo needs better communication on how the product can be deployed for specific solutions.
Datawarehouse & BI consultant, Owner, Mananging partner at NesCon B.V.
The system has dependencies on other environments, like JVM, which can affect its performance.
Technology Leader at eTCaaS
 

Setup Cost

Azure Data Factory's pricing is pay-as-you-go, with costs based on usage, offering competitive and cost-effective solutions.
Denodo's CPU/cores-based pricing is costly for small businesses but fair for larger enterprises, including some extra fees.
The pricing is cost-effective.
Chief Analytics Officer at Idiro Analytics
It is considered cost-effective.
Sr. Technical Architect at Hexaware Technologies Limited
For small companies, it's not a solution that most small companies can afford.
Senior Backend Engineer at a pharma/biotech company with 51-200 employees
Denodo is considered pricey, limiting its use to large enterprises or government organizations that can afford its comprehensive setup.
Datawarehouse & BI consultant, Owner, Mananging partner at NesCon B.V.
Denodo's pricing is not affordable for small companies and is more suitable for medium to large enterprises.
Technology Leader at eTCaaS
 

Valuable Features

Azure Data Factory offers scalable ETL processes with easy integration, user-friendly interface, and strong orchestration, security, and automation features.
Denodo enhances data integration through virtualization, offering performance, usability, and seamless access to diverse data sources without replication.
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
Denodo's ability to connect to multiple data sources and perform extract-transform-load (ETL) operations on the fly is noteworthy.
Director Software Engineer at a computer software company with 10,001+ employees
The most valuable feature of Denodo is its uniformity of self-site data access types, which allows it to connect to almost any storage technology and feed it transparently.
Datawarehouse & BI consultant, Owner, Mananging partner at NesCon B.V.
Denodo supports SQL base, so if you want to join two tables or two views, you can use SQL, which is an advantage as most developers or business people know SQL.
Principal Architect at a manufacturing company with 10,001+ employees
 

Categories and Ranking

Azure Data Factory
Ranking in Data Integration
3rd
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
93
Ranking in other categories
Cloud Data Warehouse (2nd)
Denodo
Ranking in Data Integration
8th
Average Rating
8.0
Reviews Sentiment
6.6
Number of Reviews
39
Ranking in other categories
Data Virtualization (1st), Cloud Data Integration (5th), Data Management Platforms (DMP) (3rd), AI Data Analysis (4th)
 

Mindshare comparison

As of January 2026, in the Data Integration category, the mindshare of Azure Data Factory is 3.2%, down from 10.0% compared to the previous year. The mindshare of Denodo is 1.4%, down from 1.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Market Share Distribution
ProductMarket Share (%)
Azure Data Factory3.2%
Denodo1.4%
Other95.4%
Data Integration
 

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.
Douglas Camargo - PeerSpot reviewer
Senior Backend Engineer at a pharma/biotech company with 51-200 employees
Has simplified multi-database querying and accelerated solution delivery with minimal setup
Denodo offers a great query language, the VQL, which was very easy to understand for someone that only knows SQL. It was easy to work with, and it was easy to integrate various types of databases in general. The usability of the platform is very great. The federated queries were also a feature that I used a lot. The easy usability of Denodo helped my work and made things easier for productivity. We were able to ship code faster than if we needed to use another type of data visualization tool or even an ETL. When we have multiple databases, the standard or common approach is just to have an ETL that matches the data, and we need to write this whole ETL. With Denodo, we can simplify this whole work to a few queries or setups in the databases and just make a few queries. This was actually easier, and it was faster to deliver a solution for a client instead of building a whole ETL pipeline or simply backfilling one database in another. Denodo simplifies your work and helps you ship code or ship solutions in a faster way. I really like the UI that Denodo has on the web app version. It was very simple and actually very beautiful to see. For a complicated program, it was very easy to understand how it works, even for someone who is just approaching the data engineering career or side of the programming language.
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879,768 professionals have used our research since 2012.
 

Answers from the Community

SO
CHIEF INFORMATION OFFICER - CIO - Innovation and Digital Platform Transformation - Mortgage Lending at THE COMMUNITY PRESERVATION CORPORATION
Dec 2, 2021
Dec 2, 2021
Greetings, Stefan. Alteryx is basically an ETL tool that evolved to deliver some Data Viz and ML features too. This means that its main purpose is to extract data from different sources, combine and transform them and finally load them in a different database.Denodo is a data virtualization tool, which means it does all the transformations without extracting from one place and loading to ano...
2 out of 3 answers
EB
Director of Community at PeerSpot (formerly IT Central Station)
Nov 16, 2021
Hi @Rushabh-Shah, @Kevin Monte De Ramos, @Avi Shvartz ​and @AmitJain. Can you please assist here and share your knowledge with the community?
DG
Managing Partner at Data Pine
Nov 18, 2021
Greetings, Stefan.   Alteryx is basically an ETL tool that evolved to deliver some Data Viz and ML features too.  This means that its main purpose is to extract data from different sources, combine and transform them and finally load them in a different database.Denodo is a data virtualization tool, which means it does all the transformations without extracting from one place and loading to another one.  It´s a cloud-based solution and it charges by the traffic.  If your company has specific General Data Protection Regulation that prohibits for instance that you extract the data located in a data center in Europe and loading them in a cluster located in the USA, you will probably need a virtualization tool like Denodo instead of an ETL like Alteryx.  Virtualization tools are usually more expensive in a long run Azure Data Factory is a platform meant to leverage the use of Azure.  Microsoft´s objective is to sell its cloud solution as a whole.  It contains a Data Studio (to manage and control your data), SPARK (which is a Hadoop in memory) and a data lake storage.As you see, those are 3 different products that do not make much sense to be used together.
 

Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
12%
Manufacturing Company
9%
Government
7%
Financial Services Firm
22%
Manufacturing Company
12%
Computer Software Company
8%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business31
Midsize Enterprise19
Large Enterprise57
By reviewers
Company SizeCount
Small Business15
Midsize Enterprise6
Large Enterprise19
 

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...
Does Denodo provide useful data virtualization education? Is it useful to attend their training?
If you are a Denodo user, it makes sense to undergo their training. Different types of professionals can benefit from it, including administrators, developers, and architects. If you are keen on i...
In experience, what might Denodo be lacking or need improvement on?
I like Denodo a lot. It offers quick and easy web service deployment within minutes. There are not any flaws that I think make the product less good or effective. The only thing I can point out is...
Which industries can benefit from Denodo the most?
Denodo is suitable for pretty much all sectors that deal with: Big data Cloud solutions Data governance Logical data fabric Master data management In my opinion, organizations in different fields...
 

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
Autodesk, VHA, AAA, Sumitomo Mitsui Trust Bank, Caterpillar, European Chemical Agency, Seagate, Nationwide, Time Warner Cable, Pantex, Inditex, BNSF Railways, Vodafone, CIT Group, Jazztel, Wolters Kluwer, Telefonica, TransAlta
Find out what your peers are saying about Azure Data Factory vs. Denodo and other solutions. Updated: December 2025.
879,768 professionals have used our research since 2012.