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
Google Cloud AI
Score 8.4 out of 10
N/A
Google Cloud AI provides modern machine learning services, with pre-trained models and a service to generate tailored models.N/A
Pricing
DataRobotGoogle Cloud AI
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
DataRobotGoogle Cloud AI
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
Features
DataRobotGoogle Cloud AI
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
DataRobot
7.1
52 Ratings
17% below category average
Google Cloud AI
-
Ratings
Connect to Multiple Data Sources6.147 Ratings00 Ratings
Extend Existing Data Sources5.942 Ratings00 Ratings
Automatic Data Format Detection8.450 Ratings00 Ratings
MDM Integration8.124 Ratings00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
DataRobot
7.9
51 Ratings
6% below category average
Google Cloud AI
-
Ratings
Visualization8.050 Ratings00 Ratings
Interactive Data Analysis7.849 Ratings00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
DataRobot
7.7
50 Ratings
7% below category average
Google Cloud AI
-
Ratings
Interactive Data Cleaning and Enrichment7.443 Ratings00 Ratings
Data Transformations7.548 Ratings00 Ratings
Data Encryption8.125 Ratings00 Ratings
Built-in Processors7.941 Ratings00 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
Google Cloud AI
-
Ratings
Multiple Model Development Languages and Tools7.644 Ratings00 Ratings
Automated Machine Learning9.353 Ratings00 Ratings
Single platform for multiple model development9.050 Ratings00 Ratings
Self-Service Model Delivery8.549 Ratings00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
DataRobot
8.4
48 Ratings
2% below category average
Google Cloud AI
-
Ratings
Flexible Model Publishing Options8.548 Ratings00 Ratings
Security, Governance, and Cost Controls8.242 Ratings00 Ratings
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DataRobotGoogle Cloud AI
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Score 9.1 out of 10
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User Ratings
DataRobotGoogle Cloud AI
Likelihood to Recommend
8.2
(57 ratings)
10.0
(6 ratings)
Likelihood to Renew
6.5
(4 ratings)
10.0
(1 ratings)
Usability
-
(0 ratings)
10.0
(1 ratings)
Support Rating
8.2
(5 ratings)
7.3
(3 ratings)
Implementation Rating
-
(0 ratings)
10.0
(1 ratings)
User Testimonials
DataRobotGoogle Cloud AI
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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Google
Google Cloud AI is a wonderful product for companies that are looking to offset AI and ML processing power to cloud APIs, and specific Machine Learning use cases to APIs as well. For companies that are looking for very specific, customized ML capabilities that require lots of fine-tuning, it may be better to do this sort of processing through open-source libraries locally, to offset the costs that your company might incur through this API usage.
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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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Google
  • good conversion from the voice to the text
  • speed in the conversion from voice to text
  • time-saving in the conversion activity
  • analysis of the results of the conversion in real time
Read full review
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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Google
  • Some of the build in/supported AI modules that can be deployed, for example Tensorflow, do not have up-to-date documentation so what is actually implemented in the latest rev is not what is mentioned in the documentation, resulting in a lot of debugging time.
  • Customization of existing modules and libraries is harder and it does need time and experience to learn.
  • Google Cloud AI can do a better job in providing better support for Python and other coding languages.
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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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Google
We are extremely satisfied with the impact that this tool has made on our organization since we have practically moved from crawling to walking in the process of generating information for our main task to investigate in the field through interviews. With the audio to text translation tool there is a difference from heaven to earth in the time of feeding our internal data.
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Usability
DataRobot
No answers on this topic
Google
So far we have not had any problems with the application, it is extremely easy to use and it is also easy to install. It does not require much training since the instruction is quite clear for its execution and application in the procedures of the company. The team in charge of this application is very pleased to work with this app.
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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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Google
Every rep has been nice and helpful whenever I call for help. One of the systems froze and wouldn't start back up and with the help of our assigned rep we got everything back up in a timely manner. This helped us not lose customers and money.
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Implementation Rating
DataRobot
No answers on this topic
Google
In fact, you only need the basic tech knowledge to do a Google search. You need to know if your organization requires it or not,. our organization required it. And that is why we acquired it and solved a need that we had been suffering from. This is part of the modernization of an organization and part of its growth as a company.
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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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Google
These are basic tools although useful, you can't simply ignore them or say they are not good. These tools also have their own values. But, Yes, Google is an advanced one, A king in the field of offering a wide range of tools, quality, speed, easy to use, automation, prebuild, and cost-effective make them a leader and differentiate them from others.
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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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Google
  • Artificial intelligence and automation seems 'free' and draws the organization in, without seeming to spend a lot of funds. A positive impact, but who is actually tracking the cost?
  • We want our employees to use it, but many resist technology or are scared of it, so we need a way to make them feel more comfortable with the AI.
  • The ROI seems positive since we are full in with Google, and the tools come along with the functionality.
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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