Cloudera Data Science Workbench vs. MATLAB

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Data Science Workbench
Score 6.7 out of 10
N/A
Cloudera Data Science Workbench enables secure self-service data science for the enterprise. It is a collaborative environment where developers can work with a variety of libraries and frameworks.N/A
MATLAB
Score 8.9 out of 10
N/A
MatLab is a predictive analytics and computing platform based on a proprietary programming language. MatLab is used across industry and academia.
$49
per student license
Pricing
Cloudera Data Science WorkbenchMATLAB
Editions & Modules
No answers on this topic
Student
$49
per student license
Home
$149
perpetual license
Education
$250
per year
Education
$500
perpetual license
Standard
$860
per year
Standard
2,150
perpetual license
Offerings
Pricing Offerings
Data Science WorkbenchMATLAB
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
Community Pulse
Cloudera Data Science WorkbenchMATLAB
Features
Cloudera Data Science WorkbenchMATLAB
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Cloudera Data Science Workbench
7.5
Ratings
11% below category average
MATLAB
-
Ratings
Connect to Multiple Data Sources7.00 Ratings00 Ratings
Extend Existing Data Sources8.00 Ratings00 Ratings
Automatic Data Format Detection7.00 Ratings00 Ratings
MDM Integration8.00 Ratings00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Cloudera Data Science Workbench
7.6
Ratings
10% below category average
MATLAB
-
Ratings
Visualization7.10 Ratings00 Ratings
Interactive Data Analysis8.00 Ratings00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Cloudera Data Science Workbench
7.8
Ratings
4% below category average
MATLAB
-
Ratings
Interactive Data Cleaning and Enrichment7.00 Ratings00 Ratings
Data Transformations8.00 Ratings00 Ratings
Data Encryption8.00 Ratings00 Ratings
Built-in Processors8.00 Ratings00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Cloudera Data Science Workbench
7.6
Ratings
10% below category average
MATLAB
-
Ratings
Multiple Model Development Languages and Tools8.00 Ratings00 Ratings
Automated Machine Learning7.00 Ratings00 Ratings
Single platform for multiple model development7.10 Ratings00 Ratings
Self-Service Model Delivery8.10 Ratings00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Cloudera Data Science Workbench
8.0
Ratings
6% below category average
MATLAB
-
Ratings
Flexible Model Publishing Options8.10 Ratings00 Ratings
Security, Governance, and Cost Controls7.80 Ratings00 Ratings
Best Alternatives
Cloudera Data Science WorkbenchMATLAB
Small Businesses
Jupyter Notebook
Jupyter Notebook
Score 9.4 out of 10
IBM SPSS Statistics
IBM SPSS Statistics
Score 7.8 out of 10
Medium-sized Companies
Posit
Posit
Score 10.0 out of 10
Alteryx Platform
Alteryx Platform
Score 8.9 out of 10
Enterprises
Posit
Posit
Score 10.0 out of 10
Dataiku
Dataiku
Score 7.6 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Cloudera Data Science WorkbenchMATLAB
Likelihood to Recommend
9.0
(0 ratings)
8.1
(0 ratings)
Usability
-
(0 ratings)
9.9
(0 ratings)
Support Rating
7.9
(0 ratings)
9.5
(0 ratings)
User Testimonials
Cloudera Data Science WorkbenchMATLAB
Likelihood to Recommend
  • If you already have a Cloudera partnership and a cluster, having this is a no brainer.
  • It integrates well with your existing ecosystem and it immediately starts working on projects, accessing full datasets and share analysis and results.
  • With the inclusion of Kubernetes, CPU and memory across worker nodes can be managed effectively.
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Engineering, mathematical modeling, and machine learning are all fields where MATLAB will shine. It's fast, reliable, and relatively easy to use. MATLAB is the de facto standard when it comes to producing high-quality plots. If you need to deal with large data sets, and not take forever processing them, MATLAB may very well be the tool for you!
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Pros
  • Enterprise grade security.
  • Self-service analytics platform.
  • Popular programming support.
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  • Has robust and easy-to-use debugging tools that can help one identify problems in one's codes.
  • Rich, well-developed and efficient library of mathematical and statistical functions that one might need to develop models or perform statistical analysis.
  • A very active online user community that is a great resource in terms of seeking help when you hit a snag.
  • Great help literature (and sometimes videos too) on all tools making it possible for all to train themselves.
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Cons
  • Not as great as RStudio; lacks some features when compared with it
  • It is quite simple still (because its very early in its initiative), and companies may want to wait until they see a more developed product
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  • MATLAB should have a full free version (without time limit) in order to be more accessible and thus have a greater user community.
  • The idea of having toolboxes to work directly with hardware (microcontrollers, single-board computers) is great, but one can tell it isn't updated very frequently and there isn't as much documentation available as with more common resources.
  • Our organization had a lot of trouble getting our network licenses to work properly and there wasn't any local service provider that could help us get it to work faster.
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Usability
No answers on this topic
The best thing about MATLAB is the variety of research and development fields it supports. The reason for this rating is that it is best used for medical images enhancement and signal processing, it is also used for speech to text conversion. This tool server is best when the demand is for machine learning.
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Support Rating
It is expensive and difficult to install and maintain.
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The built-in search engine is not as performing as I wish it would be. However, the YouTube channel has a vast library of informative video that can help understanding the software. Also, many other software have a nice bridge into MATLAB, which makes it very versatile. Overall, the support for MATLAB is good.
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Alternatives Considered
Since our organization had already implemented Cloudera Data Platform as our Big Data Warehouse platform, implementing CDSW as the go-to Analytic and Data Science Platform is the most logical and cost-effective decision to make. It integrates seamlessly with our CDH clusters and it also provides enterprise-grade security for on-premise implementation.
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The commands and coding language of MATLAB reads a lot more in plain English as opposed to all the periods and other special characters that are needed when typing in Python or Java. Additionally MATLAB has several different function packages that can solve all different categories of problems so you don't have to make a bunch of different code scrips from scratch.
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Return on Investment
  • Paid off for demonstration purposes.
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  • MATLAB has made me a better coder. I can see the code behind inbuilt functions which helps me improve my own coding.
  • The various features offered in the software helped me to understand new topics in a relatively short span of time.
  • MATLAB has a rich forum and library which allows exchange of ideas and info with other users. This has certainly broadened my horizon.
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