Cloudera Data Platform vs. Jupyter Notebook

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Cloudera Data Platform
Score 5.1 out of 10
N/A
Cloudera Data Platform (CDP), launched September 2019, is designed to combine the best of Hortonworks and Cloudera technologies to deliver an enterprise data cloud. CDP includes the Cloudera Data Warehouse and machine learning services as well as a Data Hub service for building custom business applications.
$0.04
per CCU (hourly rate)
Jupyter Notebook
Score 8.9 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
Cloudera Data PlatformJupyter Notebook
Editions & Modules
CDP Public Cloud - Data Hub
$0.04
per CCU (hourly rate)
CDP Public Cloud - Data Warehouse
$0.054
per CCU (hourly rate)
CDP Public Cloud - Data Engineering
$0.07
per CCU (hourly rate)
CDP Public Cloud - Operational Database
$0.08
per CCU (hourly rate)
CDP Public Cloud - Flow Management
$0.15
per CCU (hourly rate)
CDP Public Cloud - Machine Learning
$0.17
per CCU (hourly rate)
CDP Private Cloud - Plus Edition
$400
CCU (annual subscription)
CDP Private Cloud - Base Edition
$10,000.00
node + variable (annual subscription)
No answers on this topic
Offerings
Pricing Offerings
Cloudera Data PlatformJupyter Notebook
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Features
Cloudera Data PlatformJupyter Notebook
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Cloudera Data Platform
-
Ratings
Jupyter Notebook
8.5
21 Ratings
2% above category average
Connect to Multiple Data Sources00 Ratings9.021 Ratings
Extend Existing Data Sources00 Ratings9.220 Ratings
Automatic Data Format Detection00 Ratings8.514 Ratings
MDM Integration00 Ratings7.415 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Cloudera Data Platform
-
Ratings
Jupyter Notebook
9.6
21 Ratings
13% above category average
Visualization00 Ratings9.621 Ratings
Interactive Data Analysis00 Ratings9.621 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Cloudera Data Platform
-
Ratings
Jupyter Notebook
9.0
21 Ratings
10% above category average
Interactive Data Cleaning and Enrichment00 Ratings9.320 Ratings
Data Transformations00 Ratings8.921 Ratings
Data Encryption00 Ratings8.514 Ratings
Built-in Processors00 Ratings9.314 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Cloudera Data Platform
-
Ratings
Jupyter Notebook
8.9
21 Ratings
5% above category average
Multiple Model Development Languages and Tools00 Ratings9.020 Ratings
Automated Machine Learning00 Ratings9.218 Ratings
Single platform for multiple model development00 Ratings9.321 Ratings
Self-Service Model Delivery00 Ratings8.020 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Cloudera Data Platform
-
Ratings
Jupyter Notebook
8.8
19 Ratings
3% above category average
Flexible Model Publishing Options00 Ratings8.819 Ratings
Security, Governance, and Cost Controls00 Ratings8.718 Ratings
Best Alternatives
Cloudera Data PlatformJupyter Notebook
Small Businesses
Google BigQuery
Google BigQuery
Score 8.6 out of 10
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
Medium-sized Companies
Cloudera Enterprise Data Hub
Cloudera Enterprise Data Hub
Score 9.0 out of 10
Mathematica
Mathematica
Score 8.2 out of 10
Enterprises
Oracle Exadata
Oracle Exadata
Score 8.1 out of 10
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Cloudera Data PlatformJupyter Notebook
Likelihood to Recommend
7.0
(1 ratings)
8.3
(22 ratings)
Usability
-
(0 ratings)
10.0
(1 ratings)
Support Rating
8.0
(1 ratings)
9.0
(1 ratings)
User Testimonials
Cloudera Data PlatformJupyter Notebook
Likelihood to Recommend
Cloudera
I have seen that Cloudera Data Platform is well suited for large batch processes. It works really well for our indication analyses that are performed by the actuaries. I feel that rapid streaming operations may be a situation where additional technology would be needed to provide for a robust solution.
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Open Source
I've created a number of daisy chain notebooks for different workflows, and every time, I create my workflows with other users in mind. Jupiter Notebook makes it very easy for me to outline my thought process in as granular a way as I want without using innumerable small. inline comments.
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Pros
Cloudera
  • Scales
  • Highly available
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Open Source
  • Simple and elegant code writing ability. Easier to understand the code that way.
  • The ability to see the output after each step.
  • The ability to use ton of library functions in Python.
  • Easy-user friendly interface.
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Cons
Cloudera
  • Constantly changing costs
  • Log visibility
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Open Source
  • 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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Usability
Cloudera
No answers on this topic
Open Source
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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Support Rating
Cloudera
We have utilized Cloudera support quite frequently and are very satisfied with the capability and responsiveness of that team. Often, the new features delivered with the platform give us an opportunity to mature the way we're doing things, and the support team have been valuable in developing those new patterns.
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Open Source
I haven't had a need to contact support. However, all required help is out there in public forums.
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Alternatives Considered
Cloudera
IBM's offering of the Cloud Pak for Data has been a moving target and difficult to compare to Cloudera Data Platform. We have implemented our solution on Amazon Web Services, which appears to be supported by IBM at this point, but the migration would be very expensive for us to endeavor.
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Open Source
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 business decisions and save cost to the company. It stacks up better as we know Python is more widely used than R in the industry and can be learnt easily. Unlike PyCharm jupyter notebooks can be used to make documentations and exported in a variety of formats.
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Return on Investment
Cloudera
  • Reduced operational costs
  • Speed to market
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Open Source
  • 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