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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
if you want to work on a powerful platform, that allows you to work with bigdata, these huge database sets, and also to be able to train your models quickly, saturn cloud is the best for you. In addition to the ease of working with GPUs, it gives you the option to choose between R or Python.
Score 10 out of 10
Vetted Review
Verified User
Saturn Cloud offers 30 hours of GPU compute for free, which is an amazing offer. Unlike other lab environments, Saturn Cloud does not ask for captcha solving and deletes the runtime after disconnecting. In the pro-plan, an abundance of options are available. After trying other alternatives, its the most convincing way to train deep learning models for me.
June 20, 2023

Great GPU access

Score 10 out of 10
Vetted Review
Verified User
Incentivized
Perfectly well suited for those with limitations to accessing GPU computing power, whether that be money, space, or knowledge. Perfect for building architectures and training.

Problematic if you run out of compute hours and need offline access to your work.... would be nice to be able to download a copy of the workspace
Score 10 out of 10
Vetted Review
Verified User
Incentivized
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.
Score 10 out of 10
Vetted Review
Verified User
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.
Iftekhar Alam Fuad | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Saturn Cloud is well suited for organizations and teams that need a scalable, secure, and user-friendly platform for data science workflows. It is particularly useful for ML model testing and deployment, as well as for collaborative work on data science projects. Saturn Cloud's low-friction provisioning and deployment capabilities, built-in security features, and user-friendly interface make it easy for data scientists with varying levels of experience to use. Saturn Cloud may be less appropriate for organizations that require extensive customization or prefer to work with their own toolchains or environments. While Saturn Cloud offers a range of pre-built environments and tools, some users may require more control over their own environments or may prefer to work with specific libraries or dependencies. Additionally, organizations with very specific compliance or regulatory requirements may need to work with additional tools and services to meet their needs.
Qingchuan Sun | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
For data scientists, Saturn's clouds are ideal for simulations and calculations that take a long time. The Saturn Cloud is also designed to be very convenient for people working in teams. In particular, Saturn Cloud provides a very convenient platform if you work with R. Saturn Cloud is ideal for university workers who lack supercomputing resources, or whose existing supercomputing resources require long waiting times
Score 10 out of 10
Vetted Review
Verified User
Incentivized
If you are doing the following, saturn cloud is good for you:- - Machine learning model development - Cloud VM for Development - Data Processing in Cloud But it is less appropriate for people who have: - Have Less Budget to spend - Need a localized setup - Need a non Machine Learning or Deep Learning Setup
Score 10 out of 10
Vetted Review
Verified User
Incentivized
I currently use Saturn Cloud for data pre-processing and creating machine learning models. However, it misses some important things that it must have such as: 1) currently all big data techniques are using Java-based language like Scala or Java and 2) it needs to be used as a web development platform as well.
January 03, 2023

Saturn Cloud Review

Shivansh Kaushik | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
It is well suited to perform a quick POC at a low cost or develop a light - mid level process quickly and at a rate cheaper than most of the competitors. I would recommend saturn cloud to researchers and students as well who cannot afford to setup a dedicated machine.
Sergio Vechi | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
According to my experience, I can cite two scenarios where I believe Saturn Cloud suits well: (1) Learning: for those that are starting in the field of deep learning, for example, the environment works as a plug-and-play tool so the students can focus on the learning, not on the configuring the system, (2) Academic research: for the same reasons as in (1) and because it's available when you need it.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Data scientists and machine learning developers are sorted with Saturn Cloud. Easy data transfer with SSH and lots of computational power. You can start with the free to try option and then pay for the time you need. Pretty convenient that the machine power off after one hour of usage, so you do not overpay.
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