DataRobot vs. IBM CPLEX Optimization Studio

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
DataRobot
Score 8.7 out of 10
N/A
The DataRobot AI Platform is presented as a solution that accelerates and democratizes data science by automating the end-to-end journey from data to value and allows users to deploy AI applications at scale. DataRobot provides a centrally governed platform that gives users AI to drive business outcomes, that is available on the user's cloud platform-of-choice, on-premise, or as a fully-managed service. The solutions include tools providing data preparation enabling users to explore and…
$0
IBM CPLEX Optimization Studio
Score 9.3 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
DataRobotIBM CPLEX Optimization Studio
Editions & Modules
No answers on this topic
Developer Subscription
$199.00
Per User Per Month
Offerings
Pricing Offerings
DataRobotIBM CPLEX Optimization Studio
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
YesNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
DataRobotIBM CPLEX Optimization Studio
Top Pros

No answers on this topic

Top Cons
Features
DataRobotIBM CPLEX Optimization Studio
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
DataRobot
7.1
52 Ratings
17% below category average
IBM CPLEX Optimization Studio
8.0
2 Ratings
6% below category average
Connect to Multiple Data Sources6.147 Ratings9.02 Ratings
Extend Existing Data Sources5.942 Ratings7.02 Ratings
Automatic Data Format Detection8.450 Ratings8.02 Ratings
MDM Integration8.124 Ratings8.02 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
DataRobot
7.9
51 Ratings
6% below category average
IBM CPLEX Optimization Studio
10.0
2 Ratings
17% above category average
Visualization8.050 Ratings10.02 Ratings
Interactive Data Analysis7.849 Ratings10.02 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
DataRobot
7.7
50 Ratings
7% below category average
IBM CPLEX Optimization Studio
7.2
2 Ratings
14% below category average
Interactive Data Cleaning and Enrichment7.443 Ratings5.01 Ratings
Data Transformations7.548 Ratings7.01 Ratings
Data Encryption8.125 Ratings8.02 Ratings
Built-in Processors7.941 Ratings9.02 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
DataRobot
8.6
53 Ratings
1% above category average
IBM CPLEX Optimization Studio
8.0
2 Ratings
6% below category average
Multiple Model Development Languages and Tools7.644 Ratings10.02 Ratings
Automated Machine Learning9.353 Ratings5.01 Ratings
Single platform for multiple model development9.050 Ratings8.02 Ratings
Self-Service Model Delivery8.549 Ratings9.01 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
DataRobot
8.4
48 Ratings
2% below category average
IBM CPLEX Optimization Studio
10.0
2 Ratings
15% above category average
Flexible Model Publishing Options8.548 Ratings10.02 Ratings
Security, Governance, and Cost Controls8.242 Ratings10.02 Ratings
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User Ratings
DataRobotIBM CPLEX Optimization Studio
Likelihood to Recommend
8.2
(57 ratings)
9.0
(2 ratings)
Likelihood to Renew
6.5
(4 ratings)
-
(0 ratings)
Usability
-
(0 ratings)
9.0
(1 ratings)
Support Rating
8.2
(5 ratings)
7.0
(1 ratings)
User Testimonials
DataRobotIBM CPLEX Optimization Studio
Likelihood to Recommend
DataRobot
Data Robot is a powerful tool for greatly reducing the time required to build powerful and accurate machine learning models. It then allows you to utilize these items. It is probably most appropriate for organisations looking to get into data science and incorporate Machine learning and AI into their decision making. Having dedicated resources that can be upskilled is perfect, as the expertise and software provided allows for a big jump from willing to able. For the to work effectively, organisations should really consider dedicating at least one resource to the ML and AI projects, and understsand that not every project will yield fruit. A lot of this is innovation and experimentation, so relying on data Robots insights in make or break situations is not recommended. You also need to manage expectations well as the data you have may simply not allow for a powerful model. Finally, the organisation must be open to change, this has to exist in tandem with the above. If the organisation's key stakeholders don't want to change, all the insights in the world won't help. So a willingness and ability to change effectively is required to maximize ROI.
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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
DataRobot
  • DataRobot helps, with algorithms, to analyze and decipher numerous machine-learning techniques in order to provide models to assist in company-wide decision making.
  • Our DataRobot program puts on an "even playing field" the strength of auto-machine learning and allows us to make decisions in an extremely timely manner. The speed is consistent without being offset by errors or false-negatives.
  • It encompasses many desired techniques that help companies in general, to reconfigure in to artificial intelligence driven firms, with little to no inconvenience.
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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
DataRobot
  • The platform itself is very complicated. It probably can't function well without being complicated, but there is a big training curve to get over before you can effectively use it. Even I'm not sure if I'm effectively using it now.
  • The suggested model DataRobot deploys often not the best model for our purposes. We've had to do a lot of testing to make sure what model is the best. For regressive models, DataRobot does give you a MASE score but, for some reason, often doesn't suggest the best MASE score model.
  • The software will give you errors if output files are not entered correctly but will not exactly tell you how to fix them. Perhaps that is complicated, but being able to download a template with your data for an output file in the correct format would be nice.
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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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Likelihood to Renew
DataRobot
DataRobot presents a machine-learning platform designed by data scientists from an array of backgrounds, to construct and develop precise predictive modeling in a fraction of the time previously taken. The tech invloved addresses the critical shortage of data scientists by changing the speed and economics of predictive analytics. DataRobot utilizes parallel processing to evaluate models in R, Python, Spark MLlib, H2O and other open source databases. It searches for possible permutations and algorithms, features, transformation, processes, steps and tuning to yield the best models for the dataset and predictive goal.
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IBM
No answers on this topic
Usability
DataRobot
No answers on this topic
IBM
It's nice to use and with good optimization.
Read full review
Support Rating
DataRobot
As I am writing this report I am participating with Datarobot Engineers in an complex environment and we have their whole support. We are in Mexico and is not common to have this commitment from companies without expensive contract services. Installing is on premise and the client does not want us to take control and they, the client, is also limited because of internal IT regulations ,,, soo we are just doing magic and everybody is committed.
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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
DataRobot
DataRobot provided the perfect balance of features and price points. The other tools we tried were very expensive and provided extra things that we really didn't need. Some of the other tools also required you to host them on a server at your institution or pay for their cloud service in addition to getting the software. This added to the expense without adding any additional functionality.
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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
DataRobot
  • We have been able to cut costs by not buying leads that we will not be able to sell on
  • We have been able to deploy loan eligibility reporting which brought in new business
  • We have been able to improve the performance of our credit providers and our partners which has helped to retain business
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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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ScreenShots

DataRobot Screenshots

Screenshot of Decision FlowsScreenshot of No Code App BuilderScreenshot of AI AppsScreenshot of Automated Time SeriesScreenshot of MLOpsScreenshot of Model Insights