Azure Machine Learning vs. DataRobot

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure Machine Learning
Score 7.9 out of 10
N/A
Microsoft's Azure Machine Learning is and end-to-end data science and analytics solution that helps professional data scientists to prepare data, develop experiments, and deploy models in the cloud. It replaces the Azure Machine Learning Workbench.
$0
per month
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
Pricing
Azure Machine LearningDataRobot
Editions & Modules
Studio Pricing - Free
$0.00
per month
Production Web API - Dev/Test
$0.00
per month
Studio Pricing - Standard
$9.99
per ML studio workspace/per month
Production Web API - Standard S1
$100.13
per month
Production Web API - Standard S2
$1000.06
per month
Production Web API - Standard S3
$9999.98
per month
No answers on this topic
Offerings
Pricing Offerings
Azure Machine LearningDataRobot
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Azure Machine LearningDataRobot
Considered Both Products
Azure Machine Learning

No answer on this topic

DataRobot
Chose DataRobot
At the time DataRobot provided a more automatized and complete variety of pre-trained models and ready-to-use solutions.
Top Pros
Top Cons
Features
Azure Machine LearningDataRobot
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Azure Machine Learning
-
Ratings
DataRobot
7.1
52 Ratings
17% below category average
Connect to Multiple Data Sources00 Ratings6.147 Ratings
Extend Existing Data Sources00 Ratings5.942 Ratings
Automatic Data Format Detection00 Ratings8.450 Ratings
MDM Integration00 Ratings8.124 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Azure Machine Learning
-
Ratings
DataRobot
7.9
51 Ratings
6% below category average
Visualization00 Ratings8.050 Ratings
Interactive Data Analysis00 Ratings7.849 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Azure Machine Learning
-
Ratings
DataRobot
7.7
50 Ratings
7% below category average
Interactive Data Cleaning and Enrichment00 Ratings7.443 Ratings
Data Transformations00 Ratings7.548 Ratings
Data Encryption00 Ratings8.125 Ratings
Built-in Processors00 Ratings7.941 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Azure Machine Learning
-
Ratings
DataRobot
8.6
53 Ratings
1% above category average
Multiple Model Development Languages and Tools00 Ratings7.644 Ratings
Automated Machine Learning00 Ratings9.353 Ratings
Single platform for multiple model development00 Ratings9.050 Ratings
Self-Service Model Delivery00 Ratings8.549 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Azure Machine Learning
-
Ratings
DataRobot
8.4
48 Ratings
2% below category average
Flexible Model Publishing Options00 Ratings8.548 Ratings
Security, Governance, and Cost Controls00 Ratings8.242 Ratings
Best Alternatives
Azure Machine LearningDataRobot
Small Businesses
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
Medium-sized Companies
Posit
Posit
Score 9.1 out of 10
Mathematica
Mathematica
Score 8.3 out of 10
Enterprises
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Azure Machine LearningDataRobot
Likelihood to Recommend
8.0
(4 ratings)
8.2
(57 ratings)
Likelihood to Renew
7.0
(1 ratings)
6.5
(4 ratings)
Usability
7.0
(2 ratings)
-
(0 ratings)
Support Rating
7.9
(2 ratings)
8.2
(5 ratings)
Implementation Rating
8.0
(1 ratings)
-
(0 ratings)
User Testimonials
Azure Machine LearningDataRobot
Likelihood to Recommend
Microsoft
For [a] data scientist require[d] to build a machine learning model, so he/she didn't worry about infrastructure to maintain it.
All kind of feature[s] such as train, build, deploy and monitor the machine learning model available in a single suite.
If someone has [their] own environment for ML studio, so there [it would] not [be] useful for them.
Read full review
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.
Read full review
Pros
Microsoft
  • User friendliness: This is by far the most user friendly tool I've seen in analytics. You don't need to know how to code at all! Just create a few blocks, connect a few lines and you are capable of running a boosted decision tree with a very high R squared!
  • Speed: Azure ML is a cloud based tool, so processing is not made with your computer, making the reliability and speed top notch!
  • Cost: If you don't know how to code, this is by far the cheapest machine learning tool out there. I believe it costs less than $15/month. If you know how to code, then R is free.
  • Connectivity: It is super easy to embed R or Python codes on Azure ML. So if you want to do more advanced stuff, or use a model that is not yet available on Azure ML, you can simply paste the code on R or Python there!
  • Microsoft environment: Many many companies rely on the Microsoft suite. And Azure ML connects perfectly with Excel, CSV and Access files.
Read full review
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.
Read full review
Cons
Microsoft
  • It would be great to have text tips that could ease new users to the platform, especially if an error shows up
  • Scenario-based documentation
  • Pre-processing of modules that had been previously run. Sometimes they need to be re-run for no apparent reason
Read full review
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.
Read full review
Likelihood to Renew
Microsoft
No answers on this topic
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.
Read full review
Usability
Microsoft
Easy and fastest way to develop, test, deploy and monitor the machine learning model.
- Easy to load the data set
-Drag and drop the process of the Machine learning life cycle.
Read full review
DataRobot
No answers on this topic
Support Rating
Microsoft
Support is nonexistent. It's very frustrating to try and find someone to actually talk to. The robot chatbots are just not well trained.
Read full review
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.
Read full review
Implementation Rating
Microsoft
Not sure
Read full review
DataRobot
No answers on this topic
Alternatives Considered
Microsoft
It is easier to learn, it has a very cost effective license for use, it has native build and created for Azure cloud services, and that makes it perfect when compared against the alternatives. As a Microsoft tool, it has been built to contain many visual features and improved usability even for non-specialist users.
Read full review
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.
Read full review
Return on Investment
Microsoft
  • Productivity: Instead of coding and recoding, Azure ML helped my organization to get to meaningful results faster;
  • Cost: Azure ML can save hundreds (or even thousands) of dollars for an organization, since the license costs around $15/month per seat.
  • Focus on insights and not on statistics: Since running a model is so easy, analysts can focus more on recommendations and insights, rather than statistical details
Read full review
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
Read full review
ScreenShots

DataRobot Screenshots

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