Azure Data Factory vs Denodo comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Azure Data Factory
Ranking in Data Integration
1st
Average Rating
8.0
Number of Reviews
81
Ranking in other categories
Cloud Data Warehouse (3rd)
Denodo
Ranking in Data Integration
12th
Average Rating
7.8
Number of Reviews
29
Ranking in other categories
Data Virtualization (1st), Cloud Data Integration (8th)
 

Market share comparison

As of June 2024, in the Data Integration category, the market share of Azure Data Factory is 9.6% and it decreased by 29.4% compared to the previous year. The market share of Denodo is 2.0% and it increased by 14.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
Unique Categories:
Cloud Data Warehouse
13.6%
Data Virtualization
43.8%
Cloud Data Integration
2.7%
 

Featured Reviews

Arpita-Mishra - PeerSpot reviewer
Jan 12, 2023
Faster than other solutions, has multiple connectors, and is easy to set up
I use Azure Data Factory for architecture creation, for example, loading data from Oracle DB to Azure Synapse Analytics, creating facts and dimensions using Azure Data Pipeline, and creating Azure Synapse notebooks for data transformation.  Another use case for Azure Data Factory is dashboard…
MS
Feb 2, 2024
Improves data integration processes and reduced the time to go live and required fewer human resources
In the past, transforming data from databases to other tools was a tedious and time-consuming process. Denodo eliminates that hassle, saving me time and money. So, Denodo improves data integration processes. It reduced the time to go live and required fewer human resources to make data accessible…

Quotes from Members

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

Pros

"I think it makes it very easy to understand what data flow is and so on. You can leverage the user interface to do the different data flows, and it's great. I like it a lot."
"Powerful but easy-to-use and intuitive."
"We have found the bulk load feature very valuable."
"Most of our customers are Microsoft shops and prefer Azure Data Factory because they have good licensing options and a trust factor with Microsoft."
"The tool's most valuable features are its connectors. It has many out-of-the-box connectors. We use ADF for ETL processes. Our main use case involves integrating data from various databases, processing it, and loading it into the target database. ADF plays a crucial role in orchestrating these ETL workflows."
"It's cloud-based, allowing multiple users to easily access the solution from the office or remote locations. I like that we can set up the security protocols for IP addresses, like allow lists. It's a pretty user-friendly product as well. The interface and build environment where you create pipelines are easy to use. It's straightforward to manage the digital transformation pipelines we build."
"Azure Data Factory became more user-friendly when data-flows were introduced."
"One of the most valuable features of Azure Data Factory is the drag-and-drop interface. This helps with workflow management because we can just drag any tables or data sources we need. Because of how easy it is to drag and drop, we can deliver things very quickly. It's more customizable through visual effect."
"Denodo makes it easy to export data as a service or data link to other services."
"In PL/SQL, first you need to gather all the data and then start writing the file, but in Denodo you fetch the data and write the data simultaneously. So, for example, if you have 1 million or 2 million records, you don't have to wait to fetch all of the 2 million; you can keep on fetching and writing in the file simultaneously."
"Denodo's best features are its performance, easy data transformation, and the job scheduler."
"It is easy to virtualize data using the solution."
"The most valuable features of Denodo are the extraction option for adapters, and there are many things for the views, that are cached. Denodo is not storing the data, it looks first to tune the query, and these things are for the agents."
"Overall, the product works quite well and has a good set of features."
"It is a go-to tool for data virtualization. The virtualization and data catalog are the features of why we chose Denodo."
"The most valuable features are query optimization and the single language independence from the sources we're using to catch data."
 

Cons

"The deployment should be easier."
"Data Factory's monitorability could be better."
"There is room for improvement primarily in its streaming capabilities. For structured streaming and machine learning model implementation within an ETL process, it lags behind tools like Informatica."
"Snowflake connectivity was recently added and if the vendor provided some videos on how to create data then that would be helpful."
"The number of standard adaptors could be extended further."
"User-friendliness and user effectiveness are unquestionably important, and it may be a good option here to improve the user experience. However, I believe that more and more sophisticated monitoring would be beneficial."
"There are limitations when processing more than one GD file."
"DataStage is easier to learn than Data Factory because it's more visual. Data Factory has some drag-and-drop options, but it's not as intuitive as DataStage. It would be better if they added more drag-and-drop features. You can start using DataStage without knowing the code. You don't need to learn how the code works before using the solution."
"The dropdown menus feel antiquated to me, and the administrative portals need improvement."
"Sometimes, Windows-related functions do not work properly in Denodo. The analytic functions in SQL do not work properly."
"The feature that you have to connect on LDAP needs improvement."
"The solution is slow when there are many virtualization layers."
"There have been some issues when you are at a table. Currently, Denodo exports data sets for a tabular model. When you are finished modeling your database or data warehouse they export a link to be used in Tableau. They should support other tools like Power BI."
"It would be good if the solution provided a much-needed cellular platform."
"We occasionally have some integration issues that we need to work through."
"It would be beneficial to make sure that the team that will be using Denodo has some kind of training on how to use the product at least a month beforehand, and there could even be some kind of feedback or Q&A sessions to go along with the training. If Denodo were able to provide this kind of training, it would be very helpful to users in insurance and banking companies because the staff are typically older and not always technically-minded."
 

Pricing and Cost Advice

"It's not particularly expensive."
"My company is on a monthly subscription for Azure Data Factory, but it's more of a pay-as-you-go model where your monthly invoice depends on how many resources you use. On a scale of one to five, pricing for Azure Data Factory is a four. It's just the usage fees my company pays monthly."
"Azure Data Factory gives better value for the price than other solutions such as Informatica."
"Data Factory is affordable."
"The solution's pricing is competitive."
"I would rate Data Factory's pricing nine out of ten."
"Pricing is comparable, it's somewhere in the middle."
"The price is fair."
"Denodo provides a lightweight 30-day free trial, but when we do courses on top of it, it costs $150 for each person."
"The licensing charges for this solution are payable annually."
"I am not super familiar with the pricing, but so far, it seems good. We have been happy. We haven't seen any problems. The only time we had to pay extra was during the upgrade. We didn't upgrade at the time they told us to upgrade, and we had to pay extra to keep the service. They had stopped the support for the older version and moved to the newer version. It was not their fault. It was our fault because we didn't get on board quickly."
"Depending on the size of the client you want to work with, it can be prohibitively expensive at times."
"Talking with my manager and others, nobody has complained about the pricing so far which is a positive sign."
"For us, the cost has been okay. Also, there are no additional costs; it's just the standard licensing fee."
"The pricing is pretty good, and I would rate it at four out of five."
"The cost for Denodo is in line with other similar products."
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Answers from the Community

SO
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
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
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
Computer Software Company
13%
Financial Services Firm
13%
Manufacturing Company
8%
Healthcare Company
7%
Financial Services Firm
19%
Manufacturing Company
10%
Computer Software Company
9%
Energy/Utilities Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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...
 

Learn More

 

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: May 2024.
787,061 professionals have used our research since 2012.