Overview
ProductRatingMost Used ByProduct SummaryStarting Price
DataRobot
Score 8.8 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
Kortical
Score 10.0 out of 10
Enterprise companies (1,001+ employees)
Kortical is an end to end AI as a Service (AIaaS) platform designed to accelerate the creation, iteration, explanation and deployment of world-class machine learning models. The vendor describes the key benefits of Kortical is AutoML that writes custom machine learning solutions from the ground up in code. Getting hands-on with the code is optional but being able to edit code it makes it easy to get the best of data scientists and AutoML, while also getting the benefits of full…N/A
Pricing
DataRobotKortical
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
DataRobotKortical
Free Trial
YesYes
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
YesYes
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
DataRobotKortical
Top Pros

No answers on this topic

Top Cons
Features
DataRobotKortical
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
DataRobot
7.1
53 Ratings
17% below category average
Kortical
-
Ratings
Connect to Multiple Data Sources6.148 Ratings00 Ratings
Extend Existing Data Sources5.843 Ratings00 Ratings
Automatic Data Format Detection8.451 Ratings00 Ratings
MDM Integration8.024 Ratings00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
DataRobot
7.9
52 Ratings
7% below category average
Kortical
-
Ratings
Visualization8.051 Ratings00 Ratings
Interactive Data Analysis7.850 Ratings00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
DataRobot
7.7
51 Ratings
7% below category average
Kortical
-
Ratings
Interactive Data Cleaning and Enrichment7.444 Ratings00 Ratings
Data Transformations7.549 Ratings00 Ratings
Data Encryption8.126 Ratings00 Ratings
Built-in Processors7.942 Ratings00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
DataRobot
8.6
54 Ratings
1% above category average
Kortical
-
Ratings
Multiple Model Development Languages and Tools7.745 Ratings00 Ratings
Automated Machine Learning9.354 Ratings00 Ratings
Single platform for multiple model development9.051 Ratings00 Ratings
Self-Service Model Delivery8.550 Ratings00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
DataRobot
8.3
49 Ratings
3% below category average
Kortical
-
Ratings
Flexible Model Publishing Options8.449 Ratings00 Ratings
Security, Governance, and Cost Controls8.243 Ratings00 Ratings
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DataRobotKortical
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Score 7.8 out of 10
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Mathematica
Mathematica
Score 8.2 out of 10
Posit
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Score 9.1 out of 10
Enterprises
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All AlternativesView all alternativesView all alternatives
User Ratings
DataRobotKortical
Likelihood to Recommend
8.2
(58 ratings)
10.0
(1 ratings)
Likelihood to Renew
6.4
(4 ratings)
-
(0 ratings)
Support Rating
8.2
(5 ratings)
9.0
(1 ratings)
User Testimonials
DataRobotKortical
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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Kortical
Kortical is really widely applicable to many use cases, although it doesn't handle images or video it is great to help you build really great ML models without needing to plan ahead what you are going to try, you let the platform build you the best model. It is suited to beginner and more advanced data scientists as you can edit the code to narrow the search space which makes model creation more you build it without AutoML. Hosting the model behind an API that is ready to go is great as it saves so much time vs doing that dev work from scratch
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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.
Read full review
Kortical
  • The NLP models results were much better than the ones that we did outside of the platform.
  • It is really easy and quick to build a good model with a lot of the manual boring tasks all done automatically like one hot encoding, etc.
  • Kortical shows the features and their importance for any model type as part of the platform which is great for understanding the models.
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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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Kortical
  • It would be ideal to have Jupyter built into the platform, they say it is coming.
  • Also while it is easy to use, at the start it would have been helpful to have more help guides.
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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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Kortical
No answers on this topic
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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Kortical
Their support is great as we use Slack and we have our own channel and they always respond really quickly. Data Science support is available to help unblock you as well as dev support as we're setting up the data feeds. It would be great if there were more FAQ or self-help guides in the platform but the personal touch is also really appreciated and probably gets us there quicker anyway.
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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.
Read full review
Kortical
No answers on this topic
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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Kortical
  • ROI is great as what we would spend on compute we get the AutoML for essentially the same price so it is cost neutral as Kortical comes with compute built-in.
  • The results mean that we can automate so much more than our previous model so that is key to the positive ROI.
  • The platform auto trains new models and lets us know when there is a better model so it has saved a lot of time so we can focus on new business problems to solve with ML.
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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

Kortical Screenshots

Screenshot of Lab Screen is the main screen where you upload your data, select the target column and then hit start training for the AutoML to turn your data into machine learning data,  automatically build features and then generate the code on the screen (which you can edit if you wish) and leave it to train to find you the best model based on your data.Screenshot of The graphs show you how many iterations Kortical has gone through to find you the best model.Screenshot of You can explore any model in more detail.Screenshot of You get high level explanations for each modelScreenshot of Also row by row explanations - here is a passenger that is highly likely to survive the titanic, due to being female, first class cabinet and high fare but her age at 35 was counting against her surviving a little and you can get these for every row and future prediction.