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Alteryx vs Denodo 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:
 

Customer Service

Sentiment score
7.3
Alteryx provides responsive customer service via an active online community and personalized assistance for complex technical issues.
No sentiment score available
Denodo's support is quick and knowledgeable, though some users find bug resolution and community portal usability challenging.
 

Room For Improvement

Sentiment score
5.0
Alteryx needs better UI, training, pricing, cloud functionality, and advanced machine learning features to improve competitiveness.
Sentiment score
4.6
Denodo users seek improved data catalog features, third-party integration, better performance, enhanced UI, AI capabilities, and vector database support.
 

Scalability Issues

Sentiment score
8.4
Alteryx is scalable and flexible for enterprises, though some users have concerns about costs and very large data sets.
Sentiment score
8.1
Denodo is scalable and integrates well, but faces challenges with performance, costs, and source database integration.
 

Setup Cost

Sentiment score
8.5
Alteryx, though costly, is preferred by larger enterprises for its ROI and time-saving value, with trial options available.
No sentiment score available
Denodo offers tiered pricing that is seen as fair; options include enterprise and express editions with discounts and trials available.
Alteryx is more cost-effective compared to Informatica licenses, offering savings.
 

Stability Issues

Sentiment score
8.2
Alteryx is stable and efficient for big-data analysis, with high ratings despite occasional bugs and slower server performance.
Sentiment score
8.0
Denodo is reliable with minor issues, improved stability from upgrades, and favorable performance ratings despite complex scenario challenges.
I didn't need to reach out to Alteryx for support because available documents usually provide enough information to resolve issues.
 

Valuable Features

Sentiment score
7.0
Alteryx offers user-friendly, no-code data blending, predictive analytics, and integration with Python and R for versatile data processing.
Sentiment score
8.6
Denodo offers robust data virtualization with fast performance, easy integration, and strong security, enhancing usability and data management.
Alteryx is user-friendly and allows easy creation of workflows compared to Informatica PowerCenter.
 

Categories and Ranking

Alteryx
Average Rating
8.4
Reviews Sentiment
7.3
Number of Reviews
78
Ranking in other categories
Predictive Analytics (1st), Data Science Platforms (4th), Data Preparation Tools (1st)
Denodo
Average Rating
7.8
Reviews Sentiment
7.4
Number of Reviews
32
Ranking in other categories
Data Integration (14th), Data Virtualization (1st), Cloud Data Integration (12th)
 

Mindshare comparison

Alteryx and Denodo aren’t in the same category and serve different purposes. Alteryx is designed for Predictive Analytics and holds a mindshare of 24.4%, down 25.7% compared to last year.
Denodo, on the other hand, focuses on Data Virtualization, holds 40.1% mindshare, down 41.5% since last year.
Predictive Analytics
Data Virtualization
 

Featured Reviews

Vivek Vaibhav - PeerSpot reviewer
Has a good UI and drag-and-drop features which makes it easy to understand
There have been some issues with licensing, particularly with the increased prices. This has led some companies, including ours, to consider reducing the number of licenses or potentially discontinuing their use of Alteryx. Since most of our team members work with Alteryx, deploying workflows to clients who may not have licenses became a hurdle. Every user needed a license to run the workflows, which could pose difficulties, especially for clients who only needed occasional access for small data analyses. Unlike other software like Microsoft Power BI, which offers free trials or user licenses for basic functionality, Alteryx doesn't provide such options, potentially limiting its accessibility for occasional users. It should improve scalability.
Dash Bibhuprasad - PeerSpot reviewer
Saves our underwriters' time with data virtualization, but could provide more learning resources
As a company, we first did a proof-of-concept for about four months to make sure the product was a perfect fit for us or not, and beyond that I have only used Denodo for another year or so, so I know that we haven't used the product to its fullest yet. Indeed, a lot of Denodo has changed since we had our first presentation on it with the Denodo sales team who gave us a rundown of all the features. Nevertheless, there are multiple ideas I could suggest in terms of improvement. First of all, the visualization and reporting could be better. Of course, the data virtualization is good, but the data visualization could be improved with regards to the real-time dashboarding of the graphs, pie charts, etc. For the real-time data, the dashboard should preferably be updated automatically every hour. Let's say, as a CEO or CFO, I just want to know how much premium the company will get at any hour of the day. This data should be readily available on the dashboard. This is largely why we stick with Power BI's dashboarding features (besides the simple fact that Power BI works well hand-in-hand with Azure), and why we still haven't used Denodo's data visualization features as much as the data virtualization features. Another area we have been struggling with is the integration of Denodo with both Salesforce and MuleSoft, which we use to track the customers in our sales system, such as when sending insurance quotes. When we first tried to integrate Salesforce, we found that there was some type of version incompatibility. We had a hard time talking with Salesforce about this, but eventually we upgraded our version and the integration was resolved. Yet, this was a challenge that I feel we didn't need to go through, as we were not able to quickly map out the issue. And with MuleSoft, we have not been able to integrate it properly at all. I have also seen our users complain about the availability of data sources, where they are sometimes not able to connect to all the sources they need. This kind of complaint, however, is difficult to diagnose, and I don't know for sure whether it is due to how we have Denodo set up in the company, or whether it's an actual issue with Denodo itself. These complaints were mainly made during the first few months of our usage, so it is possible that the problems stemmed from a lack of knowledge on how to use Denodo correctly, especially since the individual feedback would generally be something vague like, "Okay, I'm not able to do this". To help resolve these complaints, I would suggest that Denodo work on better documentation and perhaps some kind of virtual training. For example, there's an insurance software company called Guidewire, and when we first brought Guidewire into the company they sent us a lot of training videos even before the actual integration took place. For Denodo, it would be beneficial to make sure that the team that will be using it 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. They say, "You are pushing us too hard", so they need encouragement when it comes to adoption of a new software product.
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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
Financial Services Firm
24%
Manufacturing Company
10%
Computer Software Company
8%
Healthcare Company
6%
Financial Services Firm
20%
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

What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
One of the differences is that with Alteryx you can use it as an ETL and analytics tool. Please connect with me directly if you want to know more.
What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
Alteryx is an extremely easy and flexible data tool, flexible in terms of drag and drop toolset and also has python, R integrations if your team requires this. It can handle over 2 billion rows of...
What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
I am not familiar with IBM SPSS Modeler, therefore, I cannot compare these two products. Regarding Alteryx I can say the following: - An excellent desktop tool for Data Prep and analytics. - Featu...
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...
 

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Sample Customers

AnalyticsIq Inc., belk, BloominBrands Inc., Cardinalhealth, Cineplex, Dairy Queen
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 Alteryx, SAP, RapidMiner and others in Predictive Analytics. Updated: November 2024.
816,406 professionals have used our research since 2012.