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

Alteryx vs KNIME comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Apr 20, 2025

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 users report high ROI and efficiency improvements within months, with faster workflows and cost savings over alternatives.
Sentiment score
7.9
KNIME offers substantial ROI through low costs, ease of use, and a transparent licensing model, enhancing productivity and cost-efficiency.
Alteryx helps familiarize managers with artificial intelligence-driven possibilities.
 

Customer Service

Sentiment score
7.3
Alteryx offers responsive customer service and valuable community support, though some users note longer response times and premium service pushes.
Sentiment score
6.6
KNIME's support is efficient; users benefit from active community forums, though direct support has mixed reviews due to time zones.
Customer support is good since I've had no issues and can easily contact representatives who respond promptly.
I contacted customer support once or twice, and they were quick to respond.
The customer service was not good because we weren't premium support users.
While they cannot always provide immediate answers, they are generally efficient and simplify tasks, especially in the initial phase of learning KNIME.
 

Scalability Issues

Sentiment score
7.2
Alteryx is praised for smooth scalability, efficient data management, integration flexibility despite noted high scaling costs by some.
Sentiment score
7.0
KNIME scales well on servers but may struggle with desktops, requires licenses for better scalability, and supports big data extensions.
Alteryx is scalable, and I would give it eight out of ten.
 

Stability Issues

Sentiment score
7.9
Alteryx is praised for stability and speed with minor issues, excelling in data processing over competitors but needing cloud improvements.
Sentiment score
7.5
KNIME is praised for stability and efficiency with large files, though performance may vary depending on hardware and updates.
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.
 

Room For Improvement

Alteryx should enhance visualization, integration, pricing, and support to improve accessibility and usability for non-technical users.
KNIME needs improved visualization, large dataset handling, better UI, enhanced support, integration with AWS, and machine learning libraries.
The tool could include more native connectors, such as for global ERPs, instead of requiring additional fees for these connections.
The support structure changed; initially, we received great support, however, it later became less reliable due to licensing issues and a tiered support system.
Alteryx needs to focus on the supply chain aspect since detecting financial figures and data anomalies is currently insufficient.
For graphics, the interface is a little confusing.
The machine learning and profileration aspects are fascinating and align with my academic background in statistics.
 

Setup Cost

Alteryx's high pricing, ranging from $5,000 to $80,000 annually, offers discounts for multi-year subscriptions and justifiable ROI for larger firms.
KNIME offers a free open-source desktop and competitively priced server, appealing to enterprises for cost-effective data solutions.
Some were hesitant to pay $4000 per seat.
It has a fair price when considering a larger-scale implementation.
Alteryx is expensive.
 

Valuable Features

Alteryx provides user-friendly drag-and-drop analytics, supporting complex data tasks with strong integration and advanced features for diverse industries.
KNIME enhances productivity with its visual tools, supporting integration, automation, and complex modeling without extensive coding skills.
Alteryx not only represents data but also supports decision-making by suggesting the next steps.
Alteryx is user-friendly and allows easy creation of workflows compared to Informatica PowerCenter.
It offered quick development, with the ability to process large datasets.
KNIME is more intuitive and easier to use, which is the principal advantage.
KNIME is simple and allows for fast project development due to its reusability.
 

Categories and Ranking

Alteryx
Ranking in Data Science Platforms
5th
Average Rating
8.4
Reviews Sentiment
7.0
Number of Reviews
82
Ranking in other categories
Predictive Analytics (1st), Data Preparation Tools (1st)
KNIME
Ranking in Data Science Platforms
2nd
Average Rating
8.2
Reviews Sentiment
7.1
Number of Reviews
60
Ranking in other categories
Data Mining (1st)
 

Mindshare comparison

As of May 2025, in the Data Science Platforms category, the mindshare of Alteryx is 6.2%, down from 8.0% compared to the previous year. The mindshare of KNIME is 11.7%, up from 9.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms
 

Q&A Highlights

AP
Nov 02, 2023
 

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.
Laurence Moseley - PeerSpot reviewer
Has a drag-and-drop interface and AI capabilities
It's difficult to pinpoint one single feature because KNIME has so many. For starters, it's very easy to learn. You can get started with just a one-hour video. The drag-and-drop interface makes it user-friendly. For example, if you want to read an Excel file, drag the "read Excel file" node from the repository, configure it by specifying the file location, and run it. This gives you a table with all your data. Next, you can clean the data by handling missing values, selecting specific columns you want to analyze, and then proceeding with your analysis, such as regression or correlation. KNIME has over 4,500 nodes available for download. In addition, KNIME offers various extensions. For instance, the text processing extension allows you to process text data efficiently. It's more powerful than other tools like NVivo and Palantir. KNIME also has AI capabilities. If you're unsure about the next step, the AI assistant can suggest the most frequently used nodes based on your previous work. Another valuable feature is the integration with Python. If you need to perform a task that requires Python, you can simply add a Python node, write the necessary code,
report
Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.
849,686 professionals have used our research since 2012.
 

Answers from the Community

AP
Nov 2, 2023
Nov 2, 2023
Of those three you should consider alteryx, it saves time in ETL a lot, Alteryx is better at handling large data sets than Knime and RapidMiner. But please also consider Dataiku... Up to 3 users it's free ;o)
See 2 answers
TH
Apr 15, 2023
I'd suggest checking out the new Actable AI as well. It has a better AutoML and a lot more advanced features like Causal ML.
AltanAtabarut - PeerSpot reviewer
Nov 2, 2023
Of those three you should consider alteryx, it saves time in ETL a lot,  Alteryx is better at handling large data sets than Knime and RapidMiner. But please also consider Dataiku... Up to 3 users it's free ;o)
 

Top Industries

By visitors reading reviews
Financial Services Firm
24%
Computer Software Company
10%
Manufacturing Company
9%
Healthcare Company
6%
Financial Services Firm
12%
Manufacturing Company
11%
Computer Software Company
9%
University
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...
What do you like most about KNIME?
Since KNIME is a no-code platform, it is easy to work with.
What is your experience regarding pricing and costs for KNIME?
I rate the product’s pricing a seven out of ten, where one is cheap and ten is expensive.
What needs improvement with KNIME?
I have seen the potential to interact with Python, which is currently a bit limited. I am interested in the newer version, 5.4, when it becomes available. The machine learning and profileration asp...
 

Comparisons

 

Also Known As

No data available
KNIME Analytics Platform
 

Overview

 

Sample Customers

AnalyticsIq Inc., belk, BloominBrands Inc., Cardinalhealth, Cineplex, Dairy Queen
Infocom Corporation, Dymatrix Consulting Group, Soluzione Informatiche, MMI Agency, Estanislao Training and Solutions, Vialis AG
Find out what your peers are saying about Alteryx vs. KNIME and other solutions. Updated: April 2025.
849,686 professionals have used our research since 2012.