What users are saying about
9 Ratings
13 Ratings
9 Ratings
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Score 6.4 out of 100
13 Ratings
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Score 8.6 out of 100

Likelihood to Recommend

DataRobot

DataRobot is equipped to serve both cloud computing and on-premise work. Its comprehensive cloud module, channeled through Amazon sustains highly flexible machine learning programs. Lower than average costs are provided via cloud networking because there is no need to install hardware and the additional pricing that comes along with that. DataRobot assists in eliminating hassle by offering various methods of deployment in regard to predictive modeling. The program may not be appropriate for smaller startups of 20 or fewer employees, mainly because the exportable prediction code, and native batch scoring may not translate as well to a smaller firm.
Anonymous | TrustRadius Reviewer

Keras

I would recommend it for use when anyone wants to quickly develop a neural network. Or if a user is solving any machine learning problem that includes deep learning. And this kind of problem will be like image recognition, face recognition, doing some text analysis using deep learning which includes LSTM or some other algorithm.
Gaurav Yadav | TrustRadius Reviewer

Pros

DataRobot

  • The interface is easy to use and self-service, with intuitive design.
  • The product is easy to use for data analysts and business users without having to be a data scientist, but if you are one the product is robust, so data scientists can also get some use.
  • All of the screens have explanations of all data points, models, and this makes it easy to provide explanations at the executive level and can easily modify models on the fly.
Jerry Gage-Anderson | TrustRadius Reviewer

Keras

  • Performs well when you are doing some implementation which requires neural network implementation and some other deep learning models
  • It has lots of inbuilt tools which you can have clean your data before processing
  • It supports Tensorflow as its backend, so it can easily use GPU
Rounak Jangir | TrustRadius Reviewer

Cons

DataRobot

  • Oversold the capabilities.
  • Lack of strong signals in results.
  • Requires heavy engineering support for integration.
Shanna Tellerman | TrustRadius Reviewer

Keras

  • With Keras you don't have much power to configure your model. So, if it can be possible to do the customization to the deep level, then it will be good.
  • It is only available for Python, doesn't have other language support.
  • Would love to see dynamic chart creation, like PyTorch
Raghuvar Prajapati | TrustRadius Reviewer

Likelihood to Renew

DataRobot

DataRobot 10.0
Based on 1 answer
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.
Anonymous | TrustRadius Reviewer

Keras

No score
No answers yet
No answers on this topic

Support Rating

DataRobot

DataRobot 5.3
Based on 2 answers
We were unable to make use of the software without a lot of investment on our side. While their team reaches out frequently the software is not designed for companies with smaller data sets and this should have been reviewed before the contract was signed and not after. Their team is available to support your existing team but they cannot make the software work if it's not applied to the right size data set or the right problems. I highly recommend uncovering these issues before signing a contract.
Shanna Tellerman | TrustRadius Reviewer

Keras

No score
No answers yet
No answers on this topic

Alternatives Considered

DataRobot

No competition, especially with data enablement services offered through DataRobot. The self-service and intuitive screens with explanations can’t be beat in DataRobot.
Jerry Gage-Anderson | TrustRadius Reviewer

Keras

TensorFlow and Caffe are bit hard to learn but they give you power to implement everything by you own. But most of the time it is not required to implement our own algorithm, we can solve the problem with just using the already provided algorithms. As compared to TensorFlow and Caffe, Keras is very easy to use and develop things.
Gaurav Yadav | TrustRadius Reviewer

Return on Investment

DataRobot

  • DataRobot can run multiple experiments at the same time. This helps to minimize time spent on any given experiment.
  • DataRobot helps to get rid of bottlenecks by yielding various ways to enact completed models of prediction.
  • I consider the Return on Investment high. APIs for real-time scoring have saved us many dollars and time.
Anonymous | TrustRadius Reviewer

Keras

  • It helped me in learning the basic concept of deep learning by having hands-on experience.
  • It has helped us to implement our NN with very little time.
  • It doesn't give you the whole power to customize your neural network. If you want that then you have to shift to TensorFLow
Rounak Jangir | TrustRadius Reviewer

Pricing Details

DataRobot

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Keras

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

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