Jupyter Notebook vs. KNIME Analytics Platform

Jupyter Notebook

KNIME Analytics Platform

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
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
KNIME Analytics Platform	Score 7.8 out of 10	N/A	KNIME enables users to analyze, upskill, and scale data science without any coding. The platform that lets users blend, transform, model and visualize data, deploy and monitor analytical models, and share insights organization-wide with data apps and services.	$0

Pricing

Jupyter Notebook

KNIME Analytics Platform

Editions & Modules

No answers on this topic

KNIME Community Hub Personal Plan: $0
KNIME Analytics Platform: $0
KNIME Community Hub Team Plan: €99
per month 3 users
KNIME Business Hub: From €35,000
per year

Offerings

Pricing Offerings
Jupyter Notebook	KNIME Analytics Platform
Free Trial
No	No
Free/Freemium Version
No	Yes
Premium Consulting/Integration Services
No	No

Entry-level Setup Fee

No setup fee

Additional Details

—

More Pricing Information

Community Pulse
	Jupyter Notebook	KNIME Analytics Platform
Considered Both Products	Jupyter Notebook Verified User Anonymous 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. Incentivized Helpful? Verified User Anonymous 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. Incentivized Helpful? Verified User Anonymous Chose Jupyter Notebook Negligible or no cost, Highly efficient, effective, scalable , hasslefree Incentivized Helpful? Shivam Rai Senior Implementation Services Assistant 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 … Incentivized Helpful? RL Rita Lo 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. Incentivized Helpful? Lindsay Veazey Senior Data Scientist 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 … Incentivized Helpful? Ejaz Hussain Senior Analyst 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 … Incentivized Helpful? RV Rounak Verma Data Analyst 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 … Incentivized Helpful? Hemant Jajoo Machine Learning Intern 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 … Incentivized Helpful? AJ Ayushi Jain Technical Specialist 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. Incentivized Helpful? Verified User Anonymous 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 … Incentivized Helpful? Verified User Anonymous 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. Incentivized Helpful? Arpit Ranka Graduate Student Chose Jupyter Notebook haven't actually explored as I decided to use it on a friend 's recommendation. Incentivized Helpful? Verified User Anonymous 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 … Incentivized Helpful? Irene Rodríguez Alegre Data Scientist - HF Radar Chose Jupyter Notebook It was great to import and export data and plots using Jupyter Incentivized Helpful? RK Rahul Kapoor Software Engineer 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 … Incentivized Helpful? JJ Jewon Ju Data Analyst 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. Incentivized Helpful? YX Yaxian Xie BIE 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. Incentivized Helpful? Verified User Anonymous 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. Incentivized Helpful?	KNIME Analytics Platform Verified User Anonymous Chose KNIME Analytics Platform Alteryx is a very similar product, almost all the things that are achievable in KNIME Analytics Platform can be done in Alteryx as well, but you have to pay for the Desktop version to conduct the analysis. But with KNIME Analytics Platform it is totally free and can be used … Incentivized Helpful? Verified User Anonymous Chose KNIME Analytics Platform As a commercial product Alteryx is more polished and can be even easier for a beginner, but KNIME beats Alteryx in functionality and performance. Dataiku takes the integration with Python and Git further than KNIME but isn't at the level of Alteryx and KNIME with its No … Incentivized Helpful? Rob Blanford Artificial Intelligence & Machine Learning Manager Chose KNIME Analytics Platform There are two aspects which put KNIME Analytics Platform ahead of other products. Firstly the fact that KNIME Analytics Platform comes at no cost and no restrictions on its use is an instant winner for any organisation wanting to democratise their data. It means that a client … Incentivized Helpful? Verified User Anonymous Chose KNIME Analytics Platform Alteryx Incentivized Helpful? Verified User Anonymous Chose KNIME Analytics Platform Our organization also reviewed the Alteryx platform. From our experience KNIME had more functionality, was more stable, responsive, had more features, and was overall a better product from our experience. Alteryx is also a paid product, while KNIME is free. Incentivized Helpful? Marc Cooley President Chose KNIME Analytics Platform SQLite is an easy to use SQL interface, but it is still SQL and not GUI like KNIME Microsoft Excel as the advantage of being universally known, but when VBA code is needed for complex tasks it can become unstable and slow Microsoft Access is an entry level DB that is easy to use … Incentivized Helpful? Verified User Anonymous Chose KNIME Analytics Platform Alteryx : allows for generally "data" knowledgeable workers to easily implement and develop a data model in an automated fashion. The collaboration tools built in also make is easy for members to share work, best practices, and custom modules Alteryx is not cloud based solution … Incentivized Helpful? Verified User Anonymous Chose KNIME Analytics Platform Having used both the Alteryx and [KNIME Analytics] I can definitely feel the ease of using the software of alteryx. The [KNIME Analytics] on the other hand isn't that great but is 90% of what alteryx can do along with how much ease it can do. Having said that, the 90% … Incentivized Helpful? SB Spencer Baselice SEO Manager Chose KNIME Analytics Platform Knime is a more flexible option in some ways, allowing for more data manipulation if you can find the right node. It is not as scaleable in some cases, and some tasks are just easier and faster on SQL databases. It does not build charts or reports as easily as a Tableau and … Incentivized Helpful? Ivan Cui Data Scientist - Biotech Data Science Digtialization (BDSD) Chose KNIME Analytics Platform KNIME Analytics Platform has a nice visualization comparing to Azure Machine Learning Studio. KNIME also has a good amount of built-in preprocessing nodes and ML training nodes that makes it easier to develop workflow instead of writing codes. However this also limits the … Incentivized Helpful? Christopher Penn Co-Host Chose KNIME Analytics Platform KNIME is a lower price point and has strong cross platform capabilities. Other platforms are locked to a specific operating system and cost in some cases substantially more, making them less good choices for smaller businesses that still need basic data unification. The fact … Incentivized Helpful? Verified User Anonymous Chose KNIME Analytics Platform Comparing the KNIME Analytics Platform to Anaconda and MATLAB, KNIME Analytics Platform's upsides are ease of use thanks to graphical interface and intuitiveness, no requirement of programming/coding and pre-existing nodes. Anybody can use it and create models even though … Incentivized Helpful? Verified User Anonymous Chose KNIME Analytics Platform KNIME is our preferred ETL tool, because multiple people can work on the same workflow at the same time. Incentivized Helpful? Rohit Narang Assistant Vice President Chose KNIME Analytics Platform We need to use SAS/STAT package within SAS to use the advanced statistical functions, but KNIME has inbuilt libraries for the same. Also, the integration with Open source (Python, R, Java codes) allows better scalability & more availability of skilled resources to work upon. Incentivized Helpful? Verified User Anonymous Chose KNIME Analytics Platform Knime is much more user simple than any high-level programming language. The ability to connect nodes ad produces outputs in minutes is a large benefit for this program Incentivized Helpful? VM Viktor Mulac Senior Consultant Chose KNIME Analytics Platform KNIME is open source and thus brings the price advantage, compared to RapidMiner. RapidMiner uses some WOW features such as turbo prep function, good for quick small tasks. Both tools are excellent in data preparation and processing. Incentivized Helpful? Verified User Anonymous Chose KNIME Analytics Platform KNIME provides visualisation capabilities and much more when compared to Tableau. Incentivized Helpful? Sergio Pulido Tamayo Lider de Analítica Chose KNIME Analytics Platform I selected KNIME mainly for two reasons: it does have a very good free version and it has the community contributions that expand its capabilities. Incentivized Helpful?

Features

Jupyter Notebook

KNIME Analytics Platform

Platform Connectivity

Comparison of Platform Connectivity features of Product A and Product B
	Jupyter Notebook 9.0 Ratings 7% above category average	KNIME Analytics Platform 9.2 Ratings 10% above category average
Connect to Multiple Data Sources	10.00 Ratings	9.60 Ratings
Extend Existing Data Sources	10.00 Ratings	10.00 Ratings
Automatic Data Format Detection	8.50 Ratings	9.10 Ratings
MDM Integration	7.40 Ratings	7.90 Ratings

Data Exploration

Comparison of Data Exploration features of Product A and Product B
	Jupyter Notebook 7.0 Ratings 18% below category average	KNIME Analytics Platform 8.1 Ratings 3% below category average
Visualization	6.00 Ratings	8.00 Ratings
Interactive Data Analysis	8.00 Ratings	8.10 Ratings

Data Preparation

Comparison of Data Preparation features of Product A and Product B
	Jupyter Notebook 9.5 Ratings 15% above category average	KNIME Analytics Platform 8.3 Ratings 2% above category average
Interactive Data Cleaning and Enrichment	10.00 Ratings	9.00 Ratings
Data Transformations	10.00 Ratings	9.50 Ratings
Data Encryption	8.50 Ratings	7.40 Ratings
Built-in Processors	9.30 Ratings	7.40 Ratings

Platform Data Modeling

Comparison of Platform Data Modeling features of Product A and Product B
	Jupyter Notebook 9.3 Ratings 10% above category average	KNIME Analytics Platform 8.0 Ratings 5% below category average
Multiple Model Development Languages and Tools	10.00 Ratings	9.50 Ratings
Automated Machine Learning	9.20 Ratings	8.20 Ratings
Single platform for multiple model development	10.00 Ratings	9.30 Ratings
Self-Service Model Delivery	8.00 Ratings	5.00 Ratings

Model Deployment

Comparison of Model Deployment features of Product A and Product B
	Jupyter Notebook 10.0 Ratings 16% above category average	KNIME Analytics Platform 7.3 Ratings 16% below category average
Flexible Model Publishing Options	10.00 Ratings	8.60 Ratings
Security, Governance, and Cost Controls	10.00 Ratings	5.90 Ratings

Best Alternatives
	Jupyter Notebook	KNIME Analytics Platform
Small Businesses	IBM Watson Studio Score 10.0 out of 10	Jupyter Notebook Score 9.4 out of 10
Medium-sized Companies	Posit Score 10.0 out of 10	Posit Score 10.0 out of 10
Enterprises	Posit Score 10.0 out of 10	Posit Score 10.0 out of 10
All Alternatives	View all alternatives	View all alternatives

User Ratings
	Jupyter Notebook	KNIME Analytics Platform
Likelihood to Recommend	10.0 (0 ratings)	9.6 (0 ratings)
Likelihood to Renew	- (0 ratings)	9.5 (0 ratings)
Usability	10.0 (0 ratings)	9.0 (0 ratings)
Support Rating	9.0 (0 ratings)	9.3 (0 ratings)
Implementation Rating	- (0 ratings)	7.0 (0 ratings)
Ease of integration	- (0 ratings)	10.0 (0 ratings)

User Testimonials
	Jupyter Notebook	KNIME Analytics Platform
Likelihood to Recommend	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. Incentivized RV Rounak Verma Data Analyst Read full review	KNIME Analytics Platform has vastly improved our effectiveness when working with large data sets. The self documenting GUI allows analysts to focus on what they are trying to accomplish, not complex code syntax. If we were to use traditional tools, like SQL, work would take much longer and it would be more difficult to collaborate both internally and with clients. Since KNIME Analytics Platform is database oriented, some spreadsheet functions are not supported, which is as it should be. For small data sets we often use Excel vlookup and pivot tables in place of KNIME Analytics Platform. If VBA code is requried, we go to KNIME Analytics Platform as we find VBA to be unstable in Excel. Marc Cooley President Read full review
Pros	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 Incentivized Verified User Anonymous Read full review	Visual programming as oppose to scripting encourages data analysts to reap deeper insights from their data Large community contribution in extending the KNIME Analytics Platform into other areas of analytics, e.g. Text Analytics, Predictive Analytics, ML, etc. Open source with periodic updates ensures it is equipped to deal with the most sophisticated data analytics use case Asam Salim MCMI ChMC Head of Analytics Read full review
Cons	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. Incentivized Verified User Anonymous Read full review	Automation - e.g. RapidMiner Studio provides a Turbo Prep function, where one can get to working on models more quickly (RapidMiner is not open source though) KNIME does not replace a regular reporting tool - it is not meant to. However, if I have already spent some time developing a data acquisition and analytical model, it would be nice to be able to deploy, for example, a monitoring or reporting module that would process data autonomously and react accordingly. Incentivized VM Viktor Mulac Senior Consultant Read full review
Likelihood to Renew	No answers on this topic	We are happy with Knime product and their support. Knime AP is versatile product and even can execute Python scripts if needed. It also supports R execution as well; however, it is not being used at our end Verified User Anonymous Read full review
Usability	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. Incentivized Verified User Anonymous Read full review	The training KNIME Analytics Platform provide helps you get to grips with a product that is already very intuitive. There is a KNIME Analytics Platform way of thinking about addressing problems, but once you understand a couple of patterns which you see again and again in your workflow it all makes sense. Incentivized Rob Blanford Artificial Intelligence & Machine Learning Manager Read full review
Support Rating	I haven't had a need to contact support. However, all required help is out there in public forums. Incentivized Verified User Anonymous Read full review	KNIME's HQ is in Europe, which makes it hard for US companies to get customer service in time and on time. Their customer service also takes on average 1 to 2 weeks to follow up with your request. KNIME's documentation is also helpful but it does not provide you all the answers you need some of the time. Incentivized Ivan Cui Data Scientist - Biotech Data Science Digtialization (BDSD) Read full review
Implementation Rating	No answers on this topic	KNIME Analytics Platform is easy to install on any Windows, Mac or Linux machine. The KNIME Server product that is currently being replaced by the KNIME Business Hub comes as multiple layers of software and it took us some time to set up the system right for stability. This was made harder by KNIME staff's deeper expertise in setting up the Server in Linux rather than Windows environment. The KNIME Business Hub promises to have a simpler architecture, although currently there is no visibility of a Windows version of the product. Incentivized Verified User Anonymous Read full review
Alternatives Considered	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. Incentivized Lindsay Veazey Senior Data Scientist Read full review	There are two aspects which put KNIME Analytics Platform ahead of other products. Firstly the fact that KNIME Analytics Platform comes at no cost and no restrictions on its use is an instant winner for any organisation wanting to democratise their data. It means that a client is free to install it on as many machines as they wish without worrying about costs, the number of seats required or payment models or procurement negotiation. It also means that we are not building costs into our clients business. Secondly, KNIME Analytics Platform has a very comprehensive set of tools for importing/exporting data, data manipulation and data science. Some products offer analytics packages on top of their base offering at additional cost and they are still not as comprehensive as what you get with KNIME Analytics Platform for free. For some types of analysis you may require to download additional packages with KNIME Analytics Platform, but its invariably at no cost, those packages are kept out of the main download to keep the size down. Due to the easy integration with R and Python, I view KNIME Analytics Platform as also having the capabilities of those languages too. This has helped me in the past with seamlessly importing a rare filetype and using very specific models not directly available in KNIME Analytics Platform. Incentivized Rob Blanford Artificial Intelligence & Machine Learning Manager Read full review
Return on Investment	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 Incentivized Lindsay Veazey Senior Data Scientist Read full review	It is suited for data mining or machine learning work but If we're looking for advanced stat methods such as mixed effects linear/logistics models, that needs to be run through an R node. Thinking of our peers with an advanced visualization techniques requirement, it is a lagging product. Incentivized Rohit Narang Assistant Vice President Read full review
ScreenShots		KNIME Analytics Platform Screenshots