IBM SPSS Modeler vs. Jupyter Notebook

Jupyter Notebook

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
IBM SPSS Modeler	Score 7.1 out of 10	N/A	IBM SPSS Modeler is a visual data science and machine learning (ML) solution designed to help enterprises accelerate time to value by speeding up operational tasks for data scientists. Organizations can use it for data preparation and discovery, predictive analytics, model management and deployment, and ML to monetize data assets.	$4,670 per year
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

IBM SPSS Modeler

Jupyter Notebook

Editions & Modules

IBM SPSS Modeler Personal: 4,670
per year
IBM SPSS Modeler Professional: 7,000
per year
IBM SPSS Modeler Premium: 11,600
per year
IBM SPSS Modeler Gold: contact IBM
per year

No answers on this topic

Offerings

Pricing Offerings
IBM SPSS Modeler	Jupyter Notebook
Free Trial
Yes	No
Free/Freemium Version
No	No
Premium Consulting/Integration Services
No	No

Entry-level Setup Fee

Optional

No setup fee

Additional Details

IBM SPSS Modeler Personal enables users to design and build predictive models right from the desktop. IBM SPSS Modeler Professional extends SPSS Modeler Personal with enterprise-scale in-database mining, SQL pushback, collaboration and deployment, champion/challenger, A/B testing, and more. IBM SPSS Modeler Premium extends SPSS Modeler Professional by including unstructured data analysis with integrated, natural language text and entity and social network analytics. IBM SPSS Modeler Gold extends SPSS Modeler Premium with the ability to build and deploy predictive models directly into the business process to aid in decision making. This is achieved with Decision Management which combines predictive analytics with rules, scoring, and optimization to deliver recommended actions at the point of impact.

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More Pricing Information

Community Pulse
	IBM SPSS Modeler	Jupyter Notebook
Considered Both Products	IBM SPSS Modeler George DeMaagd, PharmD.,BCPS Professor of Pharmacy and Associate Dean of Academic Administration College of Pharmacy Chose IBM SPSS Modeler Python requires knowledge of programming, higher learning curve vs IBM SPSS Modeler Incentivized Helpful? Tim Daciuk Director, Advanced Analytics Chose IBM SPSS Modeler IBM SPSS Modeler is considerably easier to use. It allows for very rapid development and the ability to get to a goal quickly. There is no need to learn a new programming language so the analyst has the ability to focus on the problem rather than the pedantics of managing … Incentivized Helpful? Ben Holmes Senior Data Scientist Chose IBM SPSS Modeler We additionally use SAS Data Miner as a toolkit. Compared to SAS Data Miner, the SPSS Modeler is a good competitor. SAS probably is more integrated in the market for a visual-based code for data science activities. However, I don't think it offers anything better than SPSS, and … Incentivized Helpful? Char Paul Psych n Stats Tutor Chose IBM SPSS Modeler JASP NVivo R Incentivized Helpful? Akos Krommer, CISA, ACDA Solution Specialist (Data Analytics) Chose IBM SPSS Modeler SPSS has a great set of analytical models, but SPSS is especially strong (compared to other tools) in complex statistical modeling and predictive analytics/statistics. However, the data connectivity features of SPSS are not the best, as the data sources SPSS can work with are … Incentivized Helpful? Himanshu Singh Product Manager Chose IBM SPSS Modeler The field of data analytics has important value for each organization. IBM SPSS Modeler is one of the leaders in this highly competitive vertical. IBM SPSS is very intuitive compared with others, and has reduced the complexity. This software has various good functionalities … Incentivized Helpful? Jesús Quintana Gerente de Ventas Sector Gobierno Chose IBM SPSS Modeler When it comes to investigation and descriptive we have found SPSS Statistics to be the tool of choice, but when it comes to projects with large and several datasets SPSS Modeler has been picked from our customers. Incentivized Helpful? JM Jim McDonough President Chose IBM SPSS Modeler SPSS Modeler provides a much more intuitive approach in helping you create and test models. Incentivized Helpful?	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?

Features

IBM SPSS Modeler

Jupyter Notebook

Platform Connectivity

Comparison of Platform Connectivity features of Product A and Product B
	IBM SPSS Modeler 7.0 Ratings 18% below category average	Jupyter Notebook 9.0 Ratings 7% above category average
Connect to Multiple Data Sources	7.00 Ratings	10.00 Ratings
Extend Existing Data Sources	7.00 Ratings	10.00 Ratings
Automatic Data Format Detection	00 Ratings	8.50 Ratings
MDM Integration	00 Ratings	7.40 Ratings

Data Exploration

Comparison of Data Exploration features of Product A and Product B
	IBM SPSS Modeler - Ratings	Jupyter Notebook 7.0 Ratings 18% below category average
Visualization	00 Ratings	6.00 Ratings
Interactive Data Analysis	00 Ratings	8.00 Ratings

Data Preparation

Comparison of Data Preparation features of Product A and Product B
	IBM SPSS Modeler - Ratings	Jupyter Notebook 9.5 Ratings 15% above category average
Interactive Data Cleaning and Enrichment	00 Ratings	10.00 Ratings
Data Transformations	00 Ratings	10.00 Ratings
Data Encryption	00 Ratings	8.50 Ratings
Built-in Processors	00 Ratings	9.30 Ratings

Platform Data Modeling

Comparison of Platform Data Modeling features of Product A and Product B
	IBM SPSS Modeler - Ratings	Jupyter Notebook 9.3 Ratings 10% above category average
Multiple Model Development Languages and Tools	00 Ratings	10.00 Ratings
Automated Machine Learning	00 Ratings	9.20 Ratings
Single platform for multiple model development	00 Ratings	10.00 Ratings
Self-Service Model Delivery	00 Ratings	8.00 Ratings

Model Deployment

Comparison of Model Deployment features of Product A and Product B
	IBM SPSS Modeler - Ratings	Jupyter Notebook 10.0 Ratings 16% above category average
Flexible Model Publishing Options	00 Ratings	10.00 Ratings
Security, Governance, and Cost Controls	00 Ratings	10.00 Ratings

Best Alternatives
	IBM SPSS Modeler	Jupyter Notebook
Small Businesses	Jupyter Notebook Score 9.4 out of 10	IBM Watson Studio Score 10.0 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
	IBM SPSS Modeler	Jupyter Notebook
Likelihood to Recommend	7.0 (0 ratings)	10.0 (0 ratings)
Usability	8.0 (0 ratings)	10.0 (0 ratings)
Support Rating	10.0 (0 ratings)	9.0 (0 ratings)

User Testimonials
	IBM SPSS Modeler	Jupyter Notebook
Likelihood to Recommend	Modeler is well suited for understanding consumer data. The ability to create a prediction and then to understand what is driving that prediction is strong in Modeler. Modeler is closely aligned with the CRISP-DM data mining approach meaning it is not just the 'doing' but also the theoretical background behind the development of data mining models. Incentivized Tim Daciuk Director, Advanced Analytics Read full review	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
Pros	A very nice and easy to use interface. A great variety of analytics, from statistical calculation to data validation and predictive statistics. Has a steep learning curve. Incentivized Akos Krommer, CISA, ACDA Solution Specialist (Data Analytics) 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 Incentivized Verified User Anonymous Read full review
Cons	Some Analyses aren't there out of the box but can be added through open languages like R and Python. Graphs could be better. Unable to read data stored in OLAP databases Incentivized Jesús Quintana Gerente de Ventas Sector Gobierno Read full review	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
Usability	The ability to do predictive modeling, text analytics for both structured & unstructured data, decision management, optimization, and support for various data sources Incentivized JM Jim McDonough President Read full review	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
Support Rating	The online support board is helpful and the free add ons are incredibly appreciated. Incentivized Char Paul Psych n Stats Tutor Read full review	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
Alternatives Considered	We additionally use SAS Data Miner as a toolkit. Compared to SAS Data Miner, the SPSS Modeler is a good competitor. SAS probably is more integrated in the market for a visual-based code for data science activities. However, I don't think it offers anything better than SPSS, and I really like several of the helpful components for usability for SPSS like peaks into nodes. Incentivized Ben Holmes Senior Data Scientist 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. Incentivized Lindsay Veazey Senior Data Scientist Read full review
Return on Investment	I am able to study and work from home sustainably I can help others have a high quality university education experience to graduate confident and competent to meet gaps in the wider community Market research for my business Help other small businesses to create viable and high quality products and services Contribute to research projects: ethical, high quality data analyses and interpretation Incentivized Char Paul Psych n Stats Tutor Read full review	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
ScreenShots	IBM SPSS Modeler Screenshots