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…
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SAS Enterprise Miner
Score 9.0 out of 10
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SAS Enterprise Miner is a data science and statistical modeling solution enabling the creation of predictive and descriptive models on very large data sources across the organization.
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Pricing
Jupyter Notebook
SAS Enterprise Miner
Editions & Modules
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No answers on this topic
Offerings
Pricing Offerings
Jupyter Notebook
SAS Enterprise Miner
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Jupyter Notebook
SAS Enterprise Miner
Features
Jupyter Notebook
SAS Enterprise Miner
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Jupyter Notebook
9.0
Ratings
7% above category average
SAS Enterprise Miner
8.8
Ratings
5% above category average
Connect to Multiple Data Sources
10.00 Ratings
8.10 Ratings
Extend Existing Data Sources
10.00 Ratings
9.00 Ratings
Automatic Data Format Detection
8.50 Ratings
9.30 Ratings
MDM Integration
7.40 Ratings
9.00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Jupyter Notebook
7.0
Ratings
18% below category average
SAS Enterprise Miner
8.1
Ratings
3% below category average
Visualization
6.00 Ratings
7.10 Ratings
Interactive Data Analysis
8.00 Ratings
9.10 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Jupyter Notebook
9.5
Ratings
15% above category average
SAS Enterprise Miner
8.0
Ratings
2% below category average
Interactive Data Cleaning and Enrichment
10.00 Ratings
7.80 Ratings
Data Transformations
10.00 Ratings
8.20 Ratings
Data Encryption
8.50 Ratings
8.10 Ratings
Built-in Processors
9.30 Ratings
8.10 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
SAS Enterprise Miner
8.8
Ratings
5% above category average
Multiple Model Development Languages and Tools
10.00 Ratings
7.50 Ratings
Automated Machine Learning
9.20 Ratings
9.80 Ratings
Single platform for multiple model development
10.00 Ratings
8.50 Ratings
Self-Service Model Delivery
8.00 Ratings
9.20 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
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.
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.
One of the major flaws is that the tool is basically an interface to SAS/STAT code. It generates code in the background and runs it. Because of that, some errors are warning might be a little difficult to understand for users who aren't proficient with SAS code.
R integration is nice but I would like to see the possibility to integrate even more statistical models different than SAS. That would allow for better performance optimization when really required.
The light client is java based and a little heavy on the OS. It would be nice to get a web-based version of the tool instead of the java one.
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.
I have contacted SAS twice in the past year and they have been super responsive both times. They solved my problem. I am also registered for an in-person class next month and they called today to tell me that it will be an online-only session. They apologized for the change and registered me for the online version. Super helpful!
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.
For those that are used to the SAS ecosystem, SAS Enterprise Miner is a massive move in the right direction. It makes doing analytics much more enjoyable. It is more user-friendly than Spotfire or Kinesis and seems to produce better results overall. SAS Enterprise Miner seems to be written by analysts for analysts.
It has a positive ROI to our business, as our sales lead rate increased after we started recommending SAS EM.
Our business operation numbers improved after we introduced SAS EM and started using predictive analytics for our customer retention and customer chain prediction.
The statistical modelling for the risk controls in our financial department helped to reduce the related residual risk.