DataRobot vs. Saturn Cloud

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
DataRobot
Score 8.2 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…N/A
Saturn Cloud
Score 7.8 out of 10
N/A
Saturn Cloud is an ML platform for individuals and teams, available on multiple clouds: AWS, Azure, GCP, and OCI. It provides access to computing resources with customizable amounts of memory and power, including GPUs and Dask distributed computing clusters, in a wholly hosted environment. Saturn Cloud is presented as flexible and straightforward for new data scientists while giving senior and experienced staff the capabilities and configurability they need.…N/A
Pricing
DataRobotSaturn Cloud
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
DataRobotSaturn Cloud
Free Trial
YesYes
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
DataRobotSaturn Cloud
Considered Both Products
DataRobot
Chose DataRobot
DataRobot is more friction-less and comprehensive enough to tackle a majority of our use cases.
Chose DataRobot
I've done machine learning through python before, however having to code and test each model individually was very time consuming and required a lot of expertise. The data Robot approach, is an excellent way of getting to a well placed starting point. You can then pick up the …
Chose DataRobot
DataRobot outperforms SPSS in terms of speed and efficiency. While I continue to rely on SPSS for tasks like data cleanup and data engineering, I have noticed that DataRobot significantly excels when it comes to building models. Its speed and user-friendly interface make it the …
Chose DataRobot
Comparable to H2O but my company chose DataRobot so that's why I'm using it. Pricing is reasonable and the feature coverage is probably better from an end-to-end perspective. DataRobot has less flexibility than Amazon SageMaker but is a lot simpler to use, which again for a …
Chose DataRobot
Alteryx is more of data processing only with user-friendly interface for non-technical users. Data Robot is more than that and can provide intelligent models for machine learning.
Chose DataRobot
Better user interface and collaborative capabilities to enable easy explanation among business partners with the platforms insightful visualizations.
Chose DataRobot
I have not used any comparable products. Compared to using commonly available open source libraries for machine learning, DataRobot automatically manages the partition of data, pre-processing of data, construction of processing pipelines and the evaluation of models on an …
Chose DataRobot
Robots vs. Robots. It was necessarily me who selected DR instead, but having used both, I find that DR is better suited to our needs and is just more accessible. You don't need to be a complete expert in the field to be able to use DR's platform, more just being able to …
Chose DataRobot
When we ran the purchase process, two factors were critical: price of course and the customer success service as we were new in this datascience world. H2O and DataRobot were the finalists (Dataiku too expensive for our needs), but we decide to choose DataRobot as they give us …
Chose 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 …
Chose DataRobot
We consistently return to DataRobot for its ease of use and ability to get the job done without major hurdles. Thus far, we just haven't found that in other products.
H2O.ai (Driverless AI): several test models did not complete, and H2O.ai team could not explain why.
Sagemaker:…
Chose DataRobot
At the time DataRobot provided a more automatized and complete variety of pre-trained models and ready-to-use solutions.
Chose DataRobot
We've just had an intro but DataRobot is much more specialized in predictive analytics. Dataiku seems for me a platform that aims to cover a little bit all the steps or processes of a D&A team and with this approach, you may be doing a trade-off in quality and power
Chose DataRobot
The ease of use has been one significant factor and productionizing is the second one that stands out. Comparision across various models
Chose DataRobot
DataRobot is the product that seemed to have the most professional platform all in all. It was also the best one for the second part of the model development, which is monitoring what the model is doing in production and governing what that model was doing, giving us the …
Chose DataRobot
Amazon SageMaker and Python IDLE
Chose DataRobot
DataRobot is far easier to implement and much easier to master. The license cost considerations are more economically favorable also.
Saturn Cloud
Chose Saturn Cloud
The Availability of Saturn Cloud is way better than Vertex Workbench . I even have trouble initiating instances
Chose Saturn Cloud
Like said earlier the main keypoint being more compute time . This is the single most advantage Saturn Cloud has over others. This enables us to first try and then eventually move onto Saturn Cloud for the work making it a smooth experience and a rewarding one to say the least.
Chose Saturn Cloud
unlike google colab, the free part of saturn cloud is much more robust. I recently tried to train some BERT models with some data, and to be honest, colab was lagging behind in terms of processing and ram. also, the paid part is much more expensive compared to saturn cloud.
Chose Saturn Cloud
Runtimes are not automatically deleted, transparent free resources: 30hrs a month, persistent disk of 10 GB. The pricing on the premium plan is transparent. No credits that get deleted after 90 days. Possibility to run ipynb notebooks that were written in an IDE, no need to …
Chose Saturn Cloud
Saturn Cloud is an exceptional data science platform that offers a multitude of advantages to organizations. It excels in simplifying and optimizing data science workflows, providing scalable infrastructure resources, and promoting efficient collaboration among teams. With its …
Chose Saturn Cloud
I like Kaggle, Google Colab, and Paperspace Gradient but none of them give me the opportunity to work remotely from my local VS Code.
Chose Saturn Cloud
We chose Saturn Cloud over other tools like Databricks and Google Colab because:1. Easy to Use: Saturn Cloud is simple and fun, just like working on a notebook.2. Sizing Help: Saturn Cloud lets us use bigger or smaller computers when we need them, saving money and time.3. Super …
Chose Saturn Cloud
I have used AWS EC2 , GCP Compute Instance, Paperspace Gradient etc.
I have selected Saturn Cloud since it provides cost effective and also more reliable and available compute machines compared to the above list.
Chose Saturn Cloud
Saturn Cloud provides an R server, that's super important. Even you can write R on Colab with different settings, but it is inconvenient and slow. Saturn Cloud can give me a different IDE environment that I'm more used to, even if I'm using Python. Whereas Colab is more …
Chose Saturn Cloud
Saturn cloud has a niche market, being a reseller of cloud instances, it ofcourse has a higher cost than the giants but Saturn Cloud is well-suited for organizations that want a cloud-based data science platform that is easy to use and scalable. AWS, GCP, and Azure are more …
Chose Saturn Cloud
It has more free resources to use. Nowadays, all platforms are using the cloud, so I currently use it often. Previous platforms are being used in local host environments. Local host = not so much usage of resources. Cloud platforms = High usage of free resources and …
Chose Saturn Cloud
Saturn Cloud is way cheaper as compared to AWS Sage Maker, and also easy to use we get a notebook setup with the correct environment on the click of a single button. The UI is also a bit simpler and understandable which helps in explaining non-tech individuals and reduces the …
Best Alternatives
DataRobotSaturn Cloud
Small Businesses
InterSystems IRIS
InterSystems IRIS
Score 8.1 out of 10
InterSystems IRIS
InterSystems IRIS
Score 8.1 out of 10
Medium-sized Companies
InterSystems IRIS
InterSystems IRIS
Score 8.1 out of 10
InterSystems IRIS
InterSystems IRIS
Score 8.1 out of 10
Enterprises
Dataiku
Dataiku
Score 8.5 out of 10
InterSystems IRIS
InterSystems IRIS
Score 8.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
DataRobotSaturn Cloud
Likelihood to Recommend
8.6
(0 ratings)
7.4
(0 ratings)
Likelihood to Renew
6.3
(0 ratings)
-
(0 ratings)
Usability
-
(0 ratings)
8.0
(0 ratings)
Support Rating
8.2
(0 ratings)
-
(0 ratings)
User Testimonials
DataRobotSaturn Cloud
Likelihood to Recommend
DataRobot can be used for risk assessment, such as predicting the likelihood of loan default. It can handle both classification and regression tasks effectively. It relies on historical data for model training. If you have limited historical data or the data quality is poor, it may not be the best choice as it requires a sufficient amount of high-quality data for accurate model building.
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1. Large-scale data processing: If your organization needs to process vast amounts of data, Saturn Cloud's parallel computing capabilities make it an ideal choice for handling these tasks efficiently and quickly.
2. Complex machine learning projects: Saturn Cloud is beneficial when working on machine learning projects requiring scalable resources and powerful computational capabilities, such as training deep learning models or running complex algorithms.
3. Collaborative data science work: Saturn Cloud provides an excellent environment for data scientists and engineers to collaborate on projects, share resources, and maintain version control, ensuring consistency and smooth teamwork.
Less appropriate scenarios for Saturn Cloud: Small-scale projects: For smaller projects with limited data and less demanding computational requirements, Saturn Cloud's advanced features might not be necessary.
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Pros
  • The breadth of models available to use is helpful and allows much more analytical power than programming them all yourself.
  • The built-in variable diagnostics are helpful when testing large variable sets to see which perform the best.
  • Many of the adjustments on the models are easy to use/it's easy to re-run and kick off new models as you want to try new things.
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  • Parallel Computing: Saturn Cloud helps us do multiple tasks at the same time, making our work faster and more efficient.
  • Easy Scalability: Saturn Cloud lets us adjust our computer power depending on our project's needs, without any hassle.
  • GPU Support: Saturn Cloud helps us work better with powerful machines, especially when we need them for complex tasks.
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Cons
  • Further improvements to their text analysis tool, to be more like the Qualtrics text analysis tool, would be a great addition. Qualtrics has templates built into their text analysis tool for customer service, quality control, etc, and will automatically slot your text responses into categories associated with certain sub areas of those larger categories.
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  • While Saturn Cloud offers a range of pre-built templates and workflows, there is currently limited support for customization. For example, users may not be able to modify the pre-configured environments that come with the templates, or may find it difficult to integrate their own custom libraries and tools. Offering more flexibility in this area could help users tailor the platform to their specific needs and workflows.
  • While Saturn Cloud offers a variety of pre-built environments for data science and machine learning workloads, some users may prefer to use custom Docker images instead. However, the platform currently has limited support for Docker, which can be a limitation for users who need to work with specific dependencies or custom libraries. Adding more robust support for Docker could help to make the platform more versatile and adaptable to a wider range of use cases.
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Likelihood to Renew
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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No answers on this topic
Usability
No answers on this topic
This is user friendly , better than its counterparts. Anyone familiar working with other cloud solutions for GPU will agree on this. Hence the rating of 10 was given to this. I personally love the fact that I get so much compute time for being a free user which is very efficient in terms of budget
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Support Rating
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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Alternatives Considered
I've done machine learning through python before, however having to code and test each model individually was very time consuming and required a lot of expertise. The data Robot approach, is an excellent way of getting to a well placed starting point. You can then pick up the model from there and fine tune further if you need.
Read full review
Saturn Cloud is an exceptional data science platform that offers a multitude of advantages to organizations. It excels in simplifying and optimizing data science workflows, providing scalable infrastructure resources, and promoting efficient collaboration among teams. With its user-friendly interface and seamless integration with popular tools, Saturn Cloud enhances productivity and accelerates the development of data science models. The platform's automation capabilities streamline repetitive tasks, freeing up valuable time for experimentation and analysis. Additionally, Saturn Cloud's cost-effective approach, with on-demand cloud resources, ensures efficient resource utilization and budget optimization. Its features for version control, reproducibility, and deployment management further solidify Saturn Cloud's position as a superior choice for organizations seeking to leverage the power of data science effectively.
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Return on Investment
  • 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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  • Faster experimentation and model iteration: Saturn Cloud's scalability and user-friendly interface can help organizations to reduce the time required to set up and run experiments, as well as to iterate on models more quickly. This can help to speed up the development cycle and get products to market more quickly.
  • Increased productivity and efficiency: Saturn Cloud's built-in tools and pre-built environments can help to streamline data science workflows and reduce the time required to set up and configure environments. This can help data scientists to focus on higher-value tasks and improve overall productivity.
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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

Saturn Cloud Screenshots

Screenshot of Enterprise homepageScreenshot of Screenshot of Screenshot of