Alteryx Platform vs. Jupyter Notebook

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Alteryx Platform
Score 8.9 out of 10
N/A
The Alteryx AI Platform gives organization automated data preparation, AI-powered analytics, and machine learning with embedded governance and security. Its self-service functionality, with self-service data prep, machine learning, and AI-generated insights, gives enterprise teams with a simplified user experience allowing everyone to create analytic solutions that improve productivity, efficiency, and the bottom line. Alteryx Designer can be used to automate every analytics step…
$4,950
per year per user (minimum of 3 users)
Jupyter Notebook
Score 9.4 out of 10
N/A
Jupyter Notebook is an open-source web application that allows users to create and share documents containing live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, and machine learning. It supports over 40 programming languages, and notebooks can be shared with others using email, Dropbox, GitHub and the Jupyter Notebook Viewer. It is used with JupyterLab, a web-based IDE for…N/A
Pricing
Alteryx PlatformJupyter Notebook
Editions & Modules
Designer Desktop
starting at $5,195
per year per user
Designer Cloud Professional Edition
Starting at $4,950
per year per user (minimum of 3 users)
No answers on this topic
Offerings
Pricing Offerings
Alteryx PlatformJupyter Notebook
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Alteryx PlatformJupyter Notebook
Considered Both Products
Alteryx Platform
Chose Alteryx Platform
I prefer Alteryx Platform to all the above products. In my opinion, the Microsoft products (Excel, Power BI) are inferior, cheaper alternatives to Alteryx Platform.
Chose Alteryx Platform
I think Alteryx Platform offers a much more user friendly and can be owned by the business user much easier than SAS data insights tool can. Both are powerful but the end-user experience is much easier and intuitive with Alteryx compared to SAS from my perspective.
Chose Alteryx Platform
Fivetran is a basic on its own, but it is very cloud based solution and useful for large teams handling large data sets, hence wasn’t useful for our case. That is why we picked Alteryx which provides easy to use and understand interface for low knowledge, people.
Chose Alteryx Platform
I used ACL before so all my scripts were written in SQL and it was not low code at all. After me and my team started using Alteryx, we moved all the scripts to workflows in Alteryx, it took some time, but works way better than ACL, it is faster and easier to maintain it any …
Chose Alteryx Platform
Alteryx is by far the most powerful tool to carry out complex and customized calculations with ease and highly reproducible while the other tools often face memory issues and 10x more time to carry ou similar calculations
Chose Alteryx Platform
The Server component of Alteryx is what our team drew to it. Having a centralized server and support team allows a lot of self service analytics
Chose Alteryx Platform
Alteryx is more efficient than competitors we've tested and used. Alteryx Designer can handle data wrangling and analysis that we once needed to do in multiple software.
Chose Alteryx Platform
I still use SQL, Python, and Excel when I have to - but alteryx has largely replaced all three of these. Every operation I need to do in any of these I can do in alteryx and see what I'm doing each step of the way - so problem solving is also easier.
Chose Alteryx Platform
IMHO KNIME is not user friendly as much as Alteryx. Learning curve is long. Regardless is Open Source, the GUI is awful. To do same job in Alteryx you need to add many components and the configuration is very complex. Although the application is free, the server side is not.
I …
Chose Alteryx Platform
Alteryx weighs over Informatica in terms of ease of use and upscaling.
Chose Alteryx Platform
Alteryx may be next to MSBI and Tableau.
Chose Alteryx Platform
IBM is old school, deployment capabilites and automation capabilities lack compared to many market players... Also opensource integrations were limited. Alteryx is good on both deployment and opensource integrations. New versions, IBM WatsonX, is expected to be better the but …
Chose Alteryx Platform
Microsoft Access is still in place, but will be subsitute by Alteryx, because connection to cloudbased data works, more automazitaion is possible. Easier to use.
Chose Alteryx Platform
We asked our external auditors for suggestions on how to make our processes better and they scheduled a meeting with us and presented Alteryx and then showed us a little bit about PowerBI but it was on their suggestion and their being able to show us at that presentation some …
Chose Alteryx Platform
Alteryx beats Tableau fair and square. Tableau is good for vizzy but nothing is comparable to Alteryx's data analysis and big data power. KNIME as well is nothing compared to the R&D Alteryx has. Alteryx having a cost compared to KNIME is a factor but the ROI is definitely …
Chose Alteryx Platform
Alteryx stacks up against its competitors in the marketplace because from day one its goal was to simplify and democratize data processes. Its visual nature and transparent tool set, combined with its highly addictive joy to use make it stand out from the crowd.
Chose Alteryx Platform
Alteryx is MUCH more user friendly. both provide the ability to code within them, but Alteryx has much nicer interface. The formula tools have a more simple language that is easier to learn than formulae in SSIS. Alteryx is easy to read with multi colored tools identifying what …
Chose Alteryx Platform
We have not utilized any other tools like Alteryx or found any other tools like Alteryx to evaluate them against.
Chose Alteryx Platform
Alteryx low-code/no-code workflow development, and the ability to view my data at every step, immediately improved my development time by at least 60%. Highbond (formerly Galvanize / ACL) relies on a proprietary ACL script coding language, which can be time-consuming to …
Chose Alteryx Platform
Knime is open source and free. It also positions itself a little on machine learning. But the user experience and the features available are far less powerful than Alteryx. I was a former user of Lavastorm (ancestor of Infogix Data360) and got acquainted with the low-code …
Chose Alteryx Platform
Previous to Alteryx aquiring Trifacta, we looked at it as a possible compliment/replacement. WIth the aquistion, we are looking to the roadmap on full integration and are very excited. Trifacta brings a cloud native solution but currently lacks many of the features/functions …
Jupyter Notebook
Chose Jupyter Notebook
As a beginner I tried all of them but finally due to simple and user friendly interface I opted it. I also tried visual basic which is also good platform with versatility, however for basic need it is the best.
Chose Jupyter Notebook
Jupyter is very easy to understand and easy to use. And can also be used by a student, freelancer, small industries, big industries. Jupyter also provides you a tool to work with machine learning and artificial intelligence.
Chose Jupyter Notebook
Negligible or no cost, Highly efficient, effective, scalable , hasslefree
Chose Jupyter Notebook
Jupyter Notebook is very attractive platform for new developers to code and to learn programming and perform tasks as compared to other IDE. It has very well and easy visualization, interactive programming and sharing the live code and slideshow is very easy as compare to …
Chose Jupyter Notebook
Jupyter is still the most well known and widely used platform I've seen. Using it over other competition like Zeppelin simply because of its availability, and my familiarity with its functionality.
Chose Jupyter Notebook
Jupyter Notebook is unique in that it offers a flexible, lightweight, easy-to-replicate way of organizing your code in a visually intuitive fashion that can be exported in a number of formats. I've found that the broad functionalities available within the notebooks suit a lot …
Chose Jupyter Notebook
Well, so far Jupyter Notebook has been the better tool for me. It gives us more freedom & has more ability to train ML models & do the data visualization more efficiently. It's easier to operate & has a very simple-to-understand UI & with the support for taking data from …
Chose Jupyter Notebook
I have used PyCharm as well as Jupyter Notebook and for me, Jupyter wins almost every time. I really like its user-friend interface for someone who is new to python programming. The ability to run a big chunk of code part by part is a big game-changer for me. One thing I would …
Chose Jupyter Notebook
It should have cleaner support for multi-environment setup and should also increase the amount of features. Moreover, more support should be present for other programming languages. It should also have the option to set a specific location that opens up whenever I run command …
Chose Jupyter Notebook
Jupyter is easier to handle and user friendly.

We have free access to it and its cell by cell executing feature is amazing.
Chose Jupyter Notebook
Jupyter Notebook has a nicer interface than RStudio in our opinion and since most of our group is familiar with Jupyter Notebook it has made it a default choice. Overall the interactive programming as well as the easy visualizations, model deployment, and markdown made Jupyter …
Chose Jupyter Notebook
Jupyter Notebook is the core feature extended on by many commercial alternatives. The commercial alternatives have more feature integration with the rest of their portfolio. RStudio is another competitor for interactive and literate programming.

Chose Jupyter Notebook
haven't actually explored as I decided to use it on a friend 's recommendation.
Chose Jupyter Notebook
An interesting thing is that Jupyter Notebook is run on browser environments which may or may not be a positive feature according to cases. VS Code on [the] other hand doesn't use any interface and can run Jupyter Notebooks too. Sometimes my browser consumes too much RAM due to …
Chose Jupyter Notebook
With Jupyter Notebook besides doing data analysis and performing complex visualizations you can also write machine learning algorithms with a long list of libraries that it supports. You can make better predictions, observations etc. with it which can help you achieve better …
Chose Jupyter Notebook
I like Jupyter Notebook over the other two because it keeps my work more organized. It helps me to structure my workflow and the ability to run commands in chunks keeps me from being confused when coming back to the work after some time.
Chose Jupyter Notebook
I selected Jupyter Notebook because this is better integrated with the existing production systems than optional tools (for example, R). It is also commonly used tool within the scientist community.
Chose Jupyter Notebook
When I tried Zeppelin in 2017, it was still in initial versions, Jupyter was way ahead as of then. Zeppelin had limitations and I wasn't confident of it making progress as much as Jupyter.
Features
Alteryx PlatformJupyter Notebook
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Alteryx Platform
-
Ratings
Jupyter Notebook
9.0
Ratings
7% above category average
Connect to Multiple Data Sources00 Ratings10.00 Ratings
Extend Existing Data Sources00 Ratings10.00 Ratings
Automatic Data Format Detection00 Ratings8.50 Ratings
MDM Integration00 Ratings7.40 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Alteryx Platform
-
Ratings
Jupyter Notebook
7.0
Ratings
18% below category average
Visualization00 Ratings6.00 Ratings
Interactive Data Analysis00 Ratings8.00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Alteryx Platform
-
Ratings
Jupyter Notebook
9.5
Ratings
15% above category average
Interactive Data Cleaning and Enrichment00 Ratings10.00 Ratings
Data Transformations00 Ratings10.00 Ratings
Data Encryption00 Ratings8.50 Ratings
Built-in Processors00 Ratings9.30 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Alteryx Platform
-
Ratings
Jupyter Notebook
9.3
Ratings
10% above category average
Multiple Model Development Languages and Tools00 Ratings10.00 Ratings
Automated Machine Learning00 Ratings9.20 Ratings
Single platform for multiple model development00 Ratings10.00 Ratings
Self-Service Model Delivery00 Ratings8.00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Alteryx Platform
-
Ratings
Jupyter Notebook
10.0
Ratings
16% above category average
Flexible Model Publishing Options00 Ratings10.00 Ratings
Security, Governance, and Cost Controls00 Ratings10.00 Ratings
Best Alternatives
Alteryx PlatformJupyter Notebook
Small Businesses
IBM SPSS Statistics
IBM SPSS Statistics
Score 7.8 out of 10
IBM Watson Studio
IBM Watson Studio
Score 10.0 out of 10
Medium-sized Companies
JMP
JMP
Score 9.2 out of 10
Posit
Posit
Score 10.0 out of 10
Enterprises
Dataiku
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Score 7.6 out of 10
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Score 10.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Alteryx PlatformJupyter Notebook
Likelihood to Recommend
8.8
(0 ratings)
10.0
(0 ratings)
Likelihood to Renew
8.9
(0 ratings)
-
(0 ratings)
Usability
9.1
(0 ratings)
10.0
(0 ratings)
Availability
7.3
(0 ratings)
-
(0 ratings)
Performance
8.6
(0 ratings)
-
(0 ratings)
Support Rating
9.2
(0 ratings)
9.0
(0 ratings)
In-Person Training
7.0
(0 ratings)
-
(0 ratings)
Online Training
8.5
(0 ratings)
-
(0 ratings)
Implementation Rating
8.0
(0 ratings)
-
(0 ratings)
Configurability
7.3
(0 ratings)
-
(0 ratings)
Ease of integration
8.2
(0 ratings)
-
(0 ratings)
Product Scalability
7.3
(0 ratings)
-
(0 ratings)
Vendor post-sale
8.2
(0 ratings)
-
(0 ratings)
Vendor pre-sale
7.3
(0 ratings)
-
(0 ratings)
User Testimonials
Alteryx PlatformJupyter Notebook
Likelihood to Recommend
We're trying right now to get more people using it at our company so we can send management documented cases for how we can expand and purchase Alteryx Server which will extend the capabilities even more and across more departments. It's been well suited for pretty much everything we do on a repeating schedule. It's worth the time to set up the workflows. When Treasury sends me the bank download now - I save it to a folder and run our workflows and send back 2 journal entries in .9 seconds. (yes - in less than a second it's finished running)
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I would rate it 9/10 while recommending Jupyter Notebook as it offers me a wide range of functionality to operate. It is very well suited for someone who is new to python programming as the user interface helps you build code line by line. I personally have written multiple programs in Python using Jupyter Notebook as it helps me organize long code by breaking it in a structure. Also the ability to write comments using '#' helps a lot to a reader understand the code.
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Pros
  • Pulling data from multiple disparate data sources.
  • Allows users to see the data at every step of the workflow to be able to cleanse, analyze, and optimize the data.
  • Provides an analytics platform that is easy for users of all levels to thrive in whether they are just starting out in their analytics journey or they have a master's degree in Data Science.
Read full review
  • Coding and error correction line by line
  • Simple and Effectiveness
  • Easy to use for visualisation and presentation of code
  • Could be used at any place any time without hassle
Read full review
Cons
  • Steeper Learning Curve: Alteryx can have a steep learning curve for users who are new to the platform or have limited experience with data analytics. Enhancements to the user interface and user onboarding resources could help make the learning process more intuitive and accessible to a wider range of users.
  • Enhanced Data Visualization Capabilities: Alteryx offers basic data visualization capabilities, but there is room for improvement in terms of advanced visualizations and interactive dashboarding features. Adding more sophisticated chart types, interactive widgets, and customization options would enhance the data visualization capabilities within the platform.
  • Improved Error Handling and Debugging: Alteryx provides error handling mechanisms, but enhancing the error reporting and debugging capabilities would be beneficial. Improved error messages, better visibility into data flow, and debugging tools could help users troubleshoot and resolve issues more efficiently.
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  • Need more Hotkeys for creating a beautiful notebook. Sometimes we need to download other plugins which messes [with] its default settings.
  • Not as powerful as IDE, which sometimes makes [the] job difficult and allows duplicate code as it get confusing when the number of lines increases. Need a feature where [an] error comes if duplicate code is found or [if a] developer tries the same function name.
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Likelihood to Renew
We've developed a working partnership with Alteryx. As an enablement suite, we're continuing to innovate and deliver great products with use of Alteryx in our solutions. Alteryx use expands to our global product development teams and is in use in multiple parts of our organization. Alteryx also delivers Experian demographic content to other clients in their product offering. We're highly likely to renew, but that decision is way above my pay grade.
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No answers on this topic
Usability
I've found that while some things might take a little longer to create, the flexibility of Alteryx allows you to perform any function needed. I haven't found a use that was not available in Alteryx yet. APIs and XMLs can be created to perform certain functions. In addition, CMD line commands can be sent using Alteryx to perform certain functions as well.
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Jupyter is highly simplistic. It took me about 5 mins to install and create my first "hello world" without having to look for help. The UI has minimalist options and is quite intuitive for anyone to become a pro in no time. The lightweight nature makes it even more likeable.
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Reliability and Availability
I use many programs and compared to others, Alteryx virtually never goes down, freezes up or gives an application error. Over a 4 year time period that I have used this program, any of these may have happened 3 times. It is an incredibly stable program that I feel completely confident in.
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No answers on this topic
Performance
Alteryx is an extremely reliable platform. If there is an error in my workflow, I feel pretty strongly it was probably my fault. The platform also handles large amounts of data very quickly and can join/match, sort, filter, calculate on that data quickly as well. One of my favorite things to build into a workflow are the messages based on data/metadata and error messages based on errors I have come across before.
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No answers on this topic
Support Rating
Stellar, bar-none. Some of the best support folks of any vendor. The Alteryx Community is the most responsive and supportive. On the rare occasion of a release issue or bug, we've been able to get quick help to solve the core problem. Alteryx does not play the blame game. They genuinely help the users solve their issues or respond to questions
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I haven't had a need to contact support. However, all required help is out there in public forums.
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In-Person Training
1st level of trainings which I've attended in Paris was easy and I was already knowing %90, that learning could have been an e-learning instead of in-person
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No answers on this topic
Online Training
Very good, detailed online trainings which you can take at your own pace, and strong certifications exists, certifications are extremely detailed and hard...
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No answers on this topic
Implementation Rating
There is really not much to it (the installation, that is). Once you get it installed, along with any of the add-ons (demographics, R, etc.), you are up and running almost immediately. There is really no additional setup. You can immediately begin blending data, running demographics, performing spatial queries, running predictive analysis, etc. And for many of these functions, the learning curve is quite easy.
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No answers on this topic
Alternatives Considered
I used ACL before so all my scripts were written in SQL and it was not low code at all. After me and my team started using Alteryx, we moved all the scripts to workflows in Alteryx, it took some time, but works way better than ACL, it is faster and easier to maintain it any changes have to be done.
Read full review
Jupyter Notebook is unique in that it offers a flexible, lightweight, easy-to-replicate way of organizing your code in a visually intuitive fashion that can be exported in a number of formats. I've found that the broad functionalities available within the notebooks suit a lot of needs I have for EDA, modeling, and data export that makes other software products fairly redundant.
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Scalability
Individual analysts can quickly generate results using their own copy of Alteryx Designer. But using the Server and developing macros for more complex needs can be time consuming.
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No answers on this topic
Return on Investment
  • Error handling - allows controls to be built into workflows easily and allows them to be isolated and spat into control reports that can be easily reviewed and audited, thanks to the ability to create multiple outputs in one go.
  • Time-saving - saved huge amounts of time, especially when moving Excel processes into Alteryx.
  • Product development - allowed my firm to create products that we have been able to market and sell to clients.
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  • Positive impact: flexible implementation on any OS, for many common software languages
  • Positive impact: straightforward duplication for adaptation of workflows for other projects
  • Negative impact: sometimes encourages pigeonholing of data science work into notebooks versus extending code capability into software integration
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ScreenShots

Alteryx Platform Screenshots

Screenshot of Alteryx APA - Automating asset inputsScreenshot of Alteryx APA - Automating outcomesScreenshot of Alteryx APA - Data enrichment and insightsScreenshot of Alteryx APA - Data quality and preparationScreenshot of Alteryx APA - Data science and decisions