Microsoft R Open and Revolution R Enterprise are big data R distribution for servers, Hadoop clusters, and data warehouses. Microsoft acquired original developer Revolution Analytics in 2016.
Microsoft R is available in two editions: Microsoft R Open (formerly Revolution R Open) and Revolution R Enterprise.
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Saturn Cloud
Score 7.7 out of 10
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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.…
$10
hourly $5 credit purchase to start
Pricing
Microsoft R Open / Revolution R Enterprise
Saturn Cloud
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Microsoft R Open / Revolution R Enterprise
Saturn Cloud
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Microsoft R Open / Revolution R Enterprise
Saturn Cloud
Features
Microsoft R Open / Revolution R Enterprise
Saturn Cloud
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Microsoft R Open / Revolution R Enterprise
5.3
3 Ratings
44% below category average
Saturn Cloud
-
Ratings
Connect to Multiple Data Sources
6.13 Ratings
00 Ratings
Extend Existing Data Sources
6.03 Ratings
00 Ratings
Automatic Data Format Detection
6.03 Ratings
00 Ratings
MDM Integration
3.01 Ratings
00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Microsoft R Open / Revolution R Enterprise
7.0
3 Ratings
19% below category average
Saturn Cloud
-
Ratings
Visualization
7.03 Ratings
00 Ratings
Interactive Data Analysis
7.03 Ratings
00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Microsoft R Open / Revolution R Enterprise
4.8
3 Ratings
52% below category average
Saturn Cloud
-
Ratings
Interactive Data Cleaning and Enrichment
5.13 Ratings
00 Ratings
Data Transformations
5.03 Ratings
00 Ratings
Data Encryption
3.01 Ratings
00 Ratings
Built-in Processors
6.03 Ratings
00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Microsoft R Open / Revolution R Enterprise
6.0
3 Ratings
33% below category average
Saturn Cloud
-
Ratings
Multiple Model Development Languages and Tools
5.03 Ratings
00 Ratings
Automated Machine Learning
5.02 Ratings
00 Ratings
Single platform for multiple model development
8.03 Ratings
00 Ratings
Self-Service Model Delivery
6.03 Ratings
00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
If you are a MS shop specifically, or have more generic data requirement needs from Microsoft sourced data this will work well. If you have a lot of disparate data across a number of unique platforms/cloud systems/3rd party hosted data warehouses then this product will have issues or a lack of documentation on the net. Performance-wise this product is equal to other R platforms out there.
Saturn Cloud is a powerful data science platform that offers numerous benefits to organizations. It simplifies and streamlines the development, deployment, and scaling of data science and machine learning models. The platform addresses common business problems such as scalability, collaboration, efficiency, and cost-effectiveness. With Saturn Cloud, organizations can easily handle large datasets and complex computations, collaborate effectively among data science teams, automate repetitive tasks, optimize workflows, and utilize flexible and cost-efficient cloud resources. By leveraging Saturn Cloud, organizations can accelerate their data science projects, improve productivity, and achieve better outcomes in areas such as predictive modeling, recommendation systems, fraud detection, and more.
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.
In general, Revolution Analytics brings a lot of value to the organization. The renewal decision would be based on return on investment in terms of quantified actionable insights that are getting generated against the cost of the product. Additionally, market brand of the tool and reputation risk in terms of possible acquisition and its impact to overall organizational analytic strategy would be considered as well.
It is good, easy to use, improvements are being made to the product and more info being shared in the community. It just needs some more time to become more integrated to other platforms and tools/data out there.
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
Generally support comes through the forums and user generated channels which are helpful, easy to access, quickly turned around and provided by knowledgeable users. However the support channels are not employees and the channels are often used as a way to learn quick difficult elements of R. Better design, users interface and tutorial options would alleviate the need for this sort of interaction.
The two are different products for different purposes. But for someone who has little or no experience in R programming, Power BI would be better for starting with. Having said that, Microsoft R is built on R, thus allowing for customization of complex calculations not typically available otherwise.
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 dedicated to Jupyter notebook
Although we are still in the implementation phase with Saturn Cloud, we anticipate significant positive impacts on our business objectives.
The platform is expected to enhance our computational capabilities with its easy access to top-tier NVIDIA GPUs, which should accelerate our AI and machine learning projects. We believe this will lead to reduced development times and faster deployment of our generative AI models.
While Saturn Cloud provides excellent computational resources and reliable uptime, I find that their user interface could be improved. The UI can be unintuitive at times, making it a bit challenging to navigate and configure certain settings. Enhancing the user interface to be more streamlined and user-friendly would significantly improve the overall experience. Having pre-configured stacks readily available would also save time and make the platform even more efficient to use.