Try our new research platform with insights from 80,000+ expert users

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:
 

ROI

Sentiment score
7.1
Alteryx provided fast ROI and efficiency, saving time and costs, with benefits in automation and resource allocation despite its price.
Sentiment score
8.0
Denodo enhances ROI by speeding processes, improving strategic accuracy, reducing churn, and boosting customer loyalty within six months.
 

Customer Service

Sentiment score
7.3
Alteryx support is responsive but varies, with users often relying on community and partners for effective solutions.
Sentiment score
7.2
Denodo's service and support are praised for expertise and promptness, but initial support and training need improvement.
The customer service was not good because we weren't premium support users.
I contacted customer support once or twice, and they were quick to respond.
They have a good methodology for learning how to use the tool.
Denodo's customer support team is very competent and responsive.
I have not yet needed to raise a ticket with Denodo's technical support as most questions have been answered through the community resources.
 

Scalability Issues

Sentiment score
7.3
Alteryx is scalable and enterprise-ready but can be costly and challenging with extremely large datasets and production workflows.
Sentiment score
7.6
Denodo offers scalable architecture with successful integration and deployment, overcoming financial and query delegation challenges to ensure performance.
Alteryx is scalable, and I would give it eight out of ten.
While the solution scales well on a single machine, I have doubts about its scalability when deployed as part of a Java component cluster.
Its complexity in configuring and the requirement to install different connectors for different sources affects its scalability.
 

Stability Issues

Sentiment score
7.9
Alteryx is stable and efficient, praised for handling large datasets, with minor glitches noted in complex workflows.
Sentiment score
7.1
Denodo is stable, handles stress well, but faces occasional challenges with complex queries and external dependencies.
I have not encountered any lagging, crashing, or instability in the system during these three months of usage.
I didn't need to reach out to Alteryx for support because available documents usually provide enough information to resolve issues.
I would rate it nine out of ten because it is very reliable, always performing as expected.
If JVM does not function properly, it may cause Denodo to fail to connect to different sources.
 

Room For Improvement

Alteryx needs better visualization, integration, pricing, cloud support, documentation, scalability, and advanced analytics to remain competitive.
Denodo requires improvements in data catalog, integration, modernization, connectivity, security, performance, visualization, documentation, and user-friendliness.
The support structure changed; initially, we received great support, however, it later became less reliable due to licensing issues and a tiered support system.
The tool could include more native connectors, such as for global ERPs, instead of requiring additional fees for these connections.
It would be beneficial if Alteryx could lower its price or introduce a loyalty program for individual consultants and freelancers like me.
The system has dependencies on other environments, like JVM, which can affect its performance.
Ensuring data caching is up to date is critical.
Denodo needs better communication on how the product can be deployed for specific solutions.
 

Setup Cost

Alteryx pricing starts high, but discounts and ROI potential make it suitable for medium to large enterprises.
Denodo's pricing is expensive but fair for enterprises, with various editions and licensing often based on CPU or core.
Some were hesitant to pay $4000 per seat.
Alteryx is expensive.
Alteryx is more cost-effective compared to Informatica licenses, offering savings.
Denodo is considered pricey, limiting its use to large enterprises or government organizations that can afford its comprehensive setup.
Denodo's pricing is not affordable for small companies and is more suitable for medium to large enterprises.
 

Valuable Features

Alteryx simplifies data integration and analysis with a user-friendly interface, supporting robust automation and rapid data processing.
Denodo offers efficient data virtualization with robust integration, optimized queries, and secure access, enhancing analytics and data management.
Alteryx is user-friendly and allows easy creation of workflows compared to Informatica PowerCenter.
I found Alteryx's ability to modify data on the fly, using in-memory processing, very useful.
It offered quick development, with the ability to process large datasets.
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.
Denodo's ability to connect to multiple data sources and perform extract-transform-load (ETL) operations on the fly is noteworthy.
Its catalog is useful for data governance and helps document information for databases and fields.
 

Categories and Ranking

Alteryx
Average Rating
8.4
Reviews Sentiment
7.0
Number of Reviews
81
Ranking in other categories
Predictive Analytics (1st), Data Science Platforms (4th), Data Preparation Tools (1st)
Denodo
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
36
Ranking in other categories
Data Integration (9th), Data Virtualization (1st), Cloud Data Integration (6th)
 

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 23.1%, down 26.2% compared to last year.
Denodo, on the other hand, focuses on Data Virtualization, holds 40.8% mindshare, up 40.4% since last year.
Predictive Analytics
Data Virtualization
 

Featured Reviews

Theresa McLaughlin - PeerSpot reviewer
Quick development enables seamless data processing despite occasional support issues
There were times when the product would fail during development without an apparent reason. The support structure changed; initially, we received great support, however, it later became less reliable due to licensing issues and a tiered support system. Licensing negotiations were problematic, affecting our product usage. For instance, our licenses were temporarily lost during negotiations when an agreement couldn't be reached.
Vishal_Goyal - PeerSpot reviewer
The data catalog feature helps define data structures without storing data
The data catalog feature is valuable as it helps define data structures without storing data. Denodo's ability to connect to multiple data sources and perform extract-transform-load (ETL) operations on the fly is noteworthy. It supports API usage to call and present data in JSON or Tableau format without visualization capabilities.
report
Use our free recommendation engine to learn which Predictive Analytics solutions are best for your needs.
838,533 professionals have used our research since 2012.
 

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
9%
Healthcare Company
6%
Financial Services Firm
21%
Manufacturing Company
11%
Computer Software Company
9%
Government
7%
 

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...
 

Comparisons

 

Overview

 

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: February 2025.
838,533 professionals have used our research since 2012.