Cloudera Data Science Workbench vs. IBM CPLEX Optimization Studio

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
IBM CPLEX Optimization Studio
Score 9.2 out of 10
N/A
IBM CPLEX Optimization Studio is a mathematical decision optimization application, for building applications or deploying optimization models.
$199
Per User Per Month
Pricing
Cloudera Data Science WorkbenchIBM CPLEX Optimization Studio
Editions & Modules
No answers on this topic
Developer Subscription
$199.00
Per User Per Month
Offerings
Pricing Offerings
Data Science WorkbenchIBM CPLEX Optimization Studio
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 WorkbenchIBM CPLEX Optimization Studio
Top Pros

No answers on this topic

Top Cons
Features
Cloudera Data Science WorkbenchIBM CPLEX Optimization Studio
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Cloudera Data Science Workbench
7.5
2 Ratings
12% below category average
IBM CPLEX Optimization Studio
8.0
2 Ratings
6% below category average
Connect to Multiple Data Sources7.02 Ratings9.02 Ratings
Extend Existing Data Sources8.02 Ratings7.02 Ratings
Automatic Data Format Detection7.02 Ratings8.02 Ratings
MDM Integration8.02 Ratings8.02 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Cloudera Data Science Workbench
7.6
2 Ratings
10% below category average
IBM CPLEX Optimization Studio
10.0
2 Ratings
17% above category average
Visualization7.12 Ratings10.02 Ratings
Interactive Data Analysis8.02 Ratings10.02 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Cloudera Data Science Workbench
7.8
2 Ratings
5% below category average
IBM CPLEX Optimization Studio
7.2
2 Ratings
13% below category average
Interactive Data Cleaning and Enrichment7.02 Ratings5.01 Ratings
Data Transformations8.02 Ratings7.01 Ratings
Data Encryption8.02 Ratings8.02 Ratings
Built-in Processors8.02 Ratings9.02 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Cloudera Data Science Workbench
7.6
2 Ratings
11% below category average
IBM CPLEX Optimization Studio
8.0
2 Ratings
6% below category average
Multiple Model Development Languages and Tools8.02 Ratings10.02 Ratings
Automated Machine Learning7.01 Ratings5.01 Ratings
Single platform for multiple model development7.12 Ratings8.02 Ratings
Self-Service Model Delivery8.12 Ratings9.01 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Cloudera Data Science Workbench
8.0
2 Ratings
7% below category average
IBM CPLEX Optimization Studio
10.0
2 Ratings
15% above category average
Flexible Model Publishing Options8.12 Ratings10.02 Ratings
Security, Governance, and Cost Controls7.82 Ratings10.02 Ratings
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User Ratings
Cloudera Data Science WorkbenchIBM CPLEX Optimization Studio
Likelihood to Recommend
9.0
(3 ratings)
9.0
(2 ratings)
Usability
-
(0 ratings)
9.0
(1 ratings)
Support Rating
7.9
(2 ratings)
7.0
(1 ratings)
User Testimonials
Cloudera Data Science WorkbenchIBM CPLEX Optimization Studio
Likelihood to Recommend
Cloudera
Organizations which already implemented on-premise Hadoop based Cloudera Data Platform (CDH) for their Big Data warehouse architecture will definitely get more value from seamless integration of Cloudera Data Science Workbench (CDSW) with their existing CDH Platform. However, for organizations with hybrid (cloud and on-premise) data platform without prior implementation of CDH, implementing CDSW can be a challenge technically and financially.
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IBM
It is well suited for solving large-sized, mixed-integer, and integer programming problems. Now, the new version supports for Multi-Objective optimization along with some new algorithms such as Benders Decomposition. It is less appropriate for quadratic programming problems where the objective function is the product of multiple variables. However, it's very easy to code any problem.
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Pros
Cloudera
  • One single IDE (browser based application) that makes Scala, R, Python integrated under one tool
  • For larger organizations/teams, it lets you be self reliant
  • As it sits on your cluster, it has very easy access of all the data on the HDFS
  • Linking with Github is a very good way to keep the code versions intact
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IBM
  • Linear Programming
  • Mixed-Integer Linear Programming
  • Non-Linear Convex-Optimization
  • Visualization
  • Shadow Price Analysis
  • Parameter Tuning
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Cons
Cloudera
  • Installation is difficult.
  • Upgrades are difficult.
  • Licensing options are not flexible.
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IBM
  • Data handling from different sources like Note Pad, etc.
  • Large size of MILP problems.
  • Various parameters to set.
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Usability
Cloudera
No answers on this topic
IBM
It's nice to use and with good optimization.
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Support Rating
Cloudera
Cloudera Data Science Workbench has excellence online resources support such as documentation and examples. On top of that the enterprise license also comes with SLA on opening a ticket to Cloudera Services and support for complaint handling and troubleshooting by email or through a phone call. On top of that it also offers additional paid training services.
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IBM
Honestly, to say, I never contacted CPLEX but used its forum to know/clarify any issues I faced.
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Alternatives Considered
Cloudera
Both the tools have similar features and have made it pretty easy to install/deploy/use. Depending on your existing platform (Cloudera vs. Azure) you need to pick the Workbench. Another observation is that Cloudera has better support where you can get feedback on your questions pretty fast (unlike MS). As its a new product, I expect MS to be more efficient in handling customers questions.
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IBM
IBM CPLEX Optimization Studio covers wide range of problems in comparison to Gurobi and also offers a number of visualization tools for results analysis. It has better customization and parameter tuning options in comparison to Gurobi. It offers various API integrations such as Python, Java and C++ which is not the case with Gurobi.
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Return on Investment
Cloudera
  • Paid off for demonstration purposes.
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IBM
  • Faster computation leading to better internal customer relations
  • Able to solve high variable problems with ease
  • Anomaly detection became easier within business
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