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Saturn Cloud

Saturn Cloud

Overview

What is Saturn Cloud?

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…

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Recent Reviews

TrustRadius Insights

Saturn Cloud is a versatile platform that has been widely adopted by organizations across various industries to address their business …
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Popular Features

View all 12 features
  • Multiple Model Development Languages and Tools (12)
    8.9
    89%
  • Visualization (12)
    8.8
    88%
  • Interactive Data Cleaning and Enrichment (12)
    8.7
    87%
  • Interactive Data Analysis (13)
    8.7
    87%

Reviewer Pros & Cons

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Pricing

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Entry-level set up fee?

  • No setup fee
For the latest information on pricing, visithttps://saturncloud.io/plans/saturn_clo…

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

Starting price (does not include set up fee)

  • $10 hourly $5 credit purchase to start
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Product Demos

Getting Started with Saturn Cloud

YouTube
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Features

Platform Connectivity

Ability to connect to a wide variety of data sources

8.6
Avg 8.5

Data Exploration

Ability to explore data and develop insights

8.8
Avg 8.4

Data Preparation

Ability to prepare data for analysis

8.8
Avg 8.2

Platform Data Modeling

Building predictive data models

8.8
Avg 8.5

Model Deployment

Tools for deploying models into production

8.8
Avg 8.6
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Product Details

What is Saturn Cloud?

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.

Because data scientists and analysts work best using the tools they want to use, Saturn Cloud enables users to work in their preferred languages, IDEs, and machine learning libraries. It offers full Git integration, shared custom images, and secure credential storage so users can scale and build a team in the cloud. With features like jobs and deployments, it supports the entire machine learning lifecycle from experimentation to production. Its features and built-in tools are shareable within teams, so time is saved and work is reproducible.

Saturn Cloud Features

Platform Connectivity Features

  • Supported: Connect to Multiple Data Sources
  • Supported: Extend Existing Data Sources

Data Exploration Features

  • Supported: Visualization
  • Supported: Interactive Data Analysis

Data Preparation Features

  • Supported: Interactive Data Cleaning and Enrichment
  • Supported: Data Encryption

Platform Data Modeling Features

  • Supported: Multiple Model Development Languages and Tools
  • Supported: Automated Machine Learning
  • Supported: Single platform for multiple model development
  • Supported: Self-Service Model Delivery

Model Deployment Features

  • Supported: Flexible Model Publishing Options
  • Supported: Security, Governance, and Cost Controls

Saturn Cloud Screenshots

Screenshot of Enterprise homepageScreenshot of Screenshot of Screenshot of

Saturn Cloud Video

Setting up JupyterHub

Saturn Cloud Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

Saturn Cloud starts at $10.

Reviewers rate Data Encryption and Multiple Model Development Languages and Tools and Flexible Model Publishing Options highest, with a score of 8.9.

The most common users of Saturn Cloud are from Small Businesses (1-50 employees).
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Comparisons

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Reviews and Ratings

(49)

Community Insights

TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!

Saturn Cloud is a versatile platform that has been widely adopted by organizations across various industries to address their business problems related to machine learning and data processing workflows. Users find great value in the platform's ability to quickly spin up environments for ML model testing and deployment, enabling them to efficiently experiment with different strategies and models. With the increasing demand for their services, users appreciate Saturn Cloud's low-friction provisioning and deployment capabilities, which have helped them handle scalability challenges effectively.

One of the notable strengths of Saturn Cloud is its exceptional performance. Built on robust cloud infrastructure, the platform can effortlessly handle large datasets and complex computations, providing users with top-notch performance. The positive experiences of users have led to widespread recommendations of Saturn Cloud to anyone in the data science or analytics field. It has garnered a reputation as a reliable, powerful, and easy-to-use platform.

Users from different domains have found specific use cases for Saturn Cloud. For instance, researchers in the remote sensing industry benefit from Saturn Cloud's efficiency in training models and improving overall productivity while saving time and frustration. In healthcare, the stable environment offered by Saturn Cloud supports the development of deep learning models for processing medical images. Furthermore, many organizations dealing with fast-growing data rely on Saturn Cloud for data preprocessing and creating machine learning models.

Saturn Cloud caters to a diverse range of users engaged in activities such as data analysis, machine learning model development, end-to-end machine learning pipelines, and implementing data science challenges. Its collaborative environment empowers data scientists to develop and train machine learning models more efficiently, accelerating the development and deployment of data-driven applications. The platform is highly recommended for training AI models due to its ease of use, speed, scalability, and affordability. Beginners and experienced users alike appreciate features like GPU support, pre-configured environments, and a built-in debugger.

The convenience of setting up a data science instance in just a few clicks and seamlessly starting work on their machine through SSH from vscode have been major factors driving users to choose Saturn Cloud over other alternatives. The platform caters to various needs by supporting use cases such as training reinforcement algorithms, deploying code in JupyterLab environments, analyzing data, and downloading results for further use. The ease of use of Saturn Cloud remains a major factor in users' decision to choose it over other alternatives.

Saturn Cloud has also made significant strides in specific fields of study. For example, it has become an invaluable tool for researchers working on MRI-based connectome science, leveraging its python-based compute servers to advance their models. Furthermore, Saturn Cloud serves as a go-to option for organizations and individuals focused on remote sensing image data processing, where it has greatly improved efficiency in handling large amounts of data.

The platform's versatility and user-friendly interface have earned it high praise among users. It excels at supporting developers in healthcare who are developing deep learning models for medical image processing. Moreover, data scientists appreciate Saturn Cloud for its collaborative environment that allows them to work seamlessly with team members, resulting in increased productivity and accelerated model development and deployment.

Whether it's organizations dealing with fast-growing data or individuals engaged in data analysis and machine learning pipelines, Saturn Cloud consistently proves to be a reliable solution. Its features such as GPU support, pre-configured environments, and built-in debugger make it an attractive option for both beginners and experienced users. Users value the platform's affordability, scalability, and overall performance.

With a strong track record of satisfied customers recommending Saturn Cloud to fellow professionals in the field, the platform has established itself as a trusted and efficient solution for various machine learning and data processing needs. By continually offering an intuitive user experience and robust infrastructure capable of handling complex computations and large datasets, Saturn Cloud remains an indispensable tool for businesses across industries.

Scalability: Many users have praised Saturn Cloud for its scalability, with multiple reviewers mentioning this as a standout feature. They appreciate the ability to easily adjust their computer power according to their project's needs without any hassle, allowing them to handle larger datasets and more complex workloads.

Collaboration Features: Reviewers have highlighted the collaboration features of Saturn Cloud, emphasizing that it was designed with teamwork in mind. Users appreciate the ability to share Jupyter notebooks and Python code with others, as well as the real-time collaboration tools such as built-in chat and video conferencing.

User-Friendly Interface: Several reviewers have praised Saturn Cloud for its user-friendly interface. They note that it is designed to be easy to use even for users without extensive technical expertise. The availability of pre-built templates and workflows for common tasks, along with built-in tools and libraries for machine learning and data analysis, further enhances the user experience.

Confusing User Interface: Some users have found Saturn Cloud's user interface to be confusing and not beginner-friendly, with multiple reviewers expressing this concern. They suggest that better guides and tutorials should be provided to make it simpler for beginners to learn and navigate the platform.

Limited Customization Options: Several users have mentioned that there is limited support for customization in Saturn Cloud. They express the need for more flexibility in modifying pre-configured environments, integrating custom libraries and tools, and using custom Docker images.

Slow Loading Time: The loading time of Saturn Cloud has been reported as long by some users. These reviewers suggest improving the platform's performance in this aspect to enhance efficiency and user experience.

Reviews

(1-16 of 16)
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Score 10 out of 10
Vetted Review
Verified User
Saturn Cloud is a great platform for training AI models. It is easy to use and has a user-friendly interface. I have used it to train BERT models, and it has helped me speed up the training process significantly. I would definitely recommend Saturn Cloud to anyone who is looking to train AI models.Here are some of the things I like about Saturn Cloud:It is easy to use and has a user-friendly interface.It is fast and scalable.It is affordable.It offers a variety of features, including GPU support, pre-configured environments, and a built-in debugger.If you are looking for a platform to train AI models, I would definitely recommend Saturn Cloud. It is a great option for beginners and experienced users alike.
Score 10 out of 10
Vetted Review
Verified User
I train Reinforcement Algorithms for my thesis. I deploy my code in JupyterLab environments, analyze data and download results for further use. I make particular use of GPU-enabled machines with pre-installed CUDA frameworks. My personal computing resources would not be sufficient to accomplish the training within a feasible time. The ease of use of Saturn Cloud convinced me to choose it over other alternatives.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Use cases include data exploration and analysis, feature engineering, model training and evaluation, and building end-to-end machine learning pipelines. Overall, Saturn Cloud helps to streamline the data science workflow, improve productivity, and accelerate the development and deployment of data-driven applications within organizations. Saturn Cloud provides a collaborative environment where data scientists can develop and train machine learning models.
Janusz "Jani" Kowalski | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
I use Saturn Cloud for deep learning model development, using Jupyter Notebook access remotely from vs code. I was attracted by a free plan entry offering a pre-configured Python server accelerated with GPU and especially the option to access it from my local vs code instance, which saved me extra setup and configuration effort.
Iftekhar Alam Fuad | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
In our organization, Saturn Cloud is used for ML model testing and deployment. The platform addresses several business problems such as the need for a scalable, secure and user-friendly platform for data science workflows, and the ability to collaborate with team members. Saturn Cloud's low-friction provisioning and deployment capabilities allow us to quickly spin up environments for testing and experimentation, and its security features ensure compliance with industry regulations. With Saturn Cloud, we are able to run our workflows with larger datasets and handle increasing demand for our services. We primarily use Saturn Cloud for ML model testing and deployment, but also leverage its collaborative capabilities to share code and insights with other team members. Overall, Saturn Cloud has been a valuable addition to our organization's data science toolkit and has helped us streamline our workflows and increase productivity.
Qingchuan Sun | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
It gives me extra computing power, especially when my programs need to run for hours or even dozens of hours. It helps a lot if you are a data scientist and researcher using R or Python. But one significant attractive fact of Saturn Cloud is that it provides a powerful R server since I don't use Python. I also recommend my colleagues use it when they need extra computing power because R is the main programing language in our group. But one little suggestion: more instructions on how to connect my Saturn cloud an Github could be very helpful.
April 27, 2023

Qinyu Guo' s Review

Score 10 out of 10
Vetted Review
Verified User
Incentivized
As a staff member in the remote sensing industry, I need to process a large amount of remote sensing image data, so I have a problem that I cannot quickly and efficiently batch process these images on my computer. But the saturn solved my problem perfectly! Recently, I am working on a project: using remote sensing images to identify the coherence of signals, and then identifying inland water bodies according to the coherence of signals. Before using the Earth Nebula, my computer could not meet such operation requirements, and I could not train a model for a whole day, which made me very upset. However, since I found that my efficiency was greatly improved after understanding and applying the saturn! It only took me half a day to train the required model, so I really appreciate it! The high efficiency and stable performance of the saturn, should let more people know and familiar with!
Score 10 out of 10
Vetted Review
Verified User
Incentivized
You can create an data science instance in just a few clicks, has been amazing. SSH from vscode and start working on your machine, no need to re-setup everything. I can just setup a configuration and reuse it if something goes wrong. I can start using the instance when in need, even away from my PC, on the go.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
I currently use Saturn Cloud for data preprocessing and creating machine learning models. Currently, data has grown at a fast rate in the organization where I work. So in order to process data, I use Saturn Cloud. While doing that, I also encourage people in the same company to use it as well. They seem to be interested in using it.
January 03, 2023

Saturn Cloud Review

Shivansh Kaushik | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Saturn Cloud is an excellent tool for data scientists and analysts. It is a cloud-based platform that provides a wide range of powerful tools and resources for working with large datasets and building data-driven applications.One of the best things about Saturn Cloud is its ease of use. The platform is intuitive and user-friendly, with a simple yet powerful interface that makes it easy to get up and running quickly. The documentation is also excellent, with detailed guides and tutorials that help users get the most out of the platform.In terms of performance, Saturn Cloud is top-notch. The platform is built on top of powerful cloud infrastructure, which means it can handle large datasets and complex computations with ease. It also integrates seamlessly with a range of popular data science tools and libraries, making it easy to work with data in a variety of formats and languages.Overall, I highly recommend Saturn Cloud to anyone in the data science or analytics field. It is a powerful, reliable, and easy-to-use platform that can help you get the most out of your data.
Sergio Vechi | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
I am using Saturn Cloud to develop deep-learning models in healthcare. More specifically, I am applying convolutional neural networks to tackle classification challenges when processing medical images. These approaches present great potential to support the decision-making process in clinical practice. Saturn Cloud offers a stable and easy-to-use environment to run these calculations
Score 10 out of 10
Vetted Review
Verified User
Incentivized
I do data analysis and develop machine learning models. Saturn Cloud has become my go-to option, from quick prototyping to deep learning model development. It's the easiest way to have a machine in the cloud and start a notebook with GPU. Lots of configuration options for CPUs, RAM, and disk size. Prices are very competitive.
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