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Saturn Cloud

Saturn Cloud

Overview

What is Saturn Cloud?

Saturn Cloud is a cloud data science platform for individuals and teams. Saturn Cloud provides access to computing resources with customizable amounts of memory and power, including GPUs and Dask distributed computing clusters, in a completely hosted environment. Saturn Cloud…

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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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What is Saturn Cloud?

Saturn Cloud is a cloud data science platform for individuals and teams. Saturn Cloud provides access to computing resources with customizable amounts of memory and power, including GPUs and Dask distributed computing clusters, in a completely hosted environment. Saturn Cloud is designed to…

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

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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

8.7
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 a cloud data science platform for individuals and teams. Saturn Cloud provides access to computing resources with customizable amounts of memory and power, including GPUs and Dask distributed computing clusters, in a completely hosted environment. Saturn Cloud is designed to be straightforward and simple to use for the new data scientist, 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 as well, so users can scale and build a team in the cloud. And with features like jobs and deployments, it supports the entire machine learning lifecycle from experimentation to production. And 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 $0.

Reviewers rate 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.
  • training
  • fine tuning
  • deploying
  • GPU taining
  • deploy with dask
  • R language
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
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.
  • Ease of use
  • Pricing transparency
  • Hardware customizability
  • Python 3.9 default
  • Auto shutoff after 1 hour default
  • Port must be enabled to use tensorflow
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
We use deep learning based approaches to advance MRI-based connectome science. We use primarily the python-based compute servers to run all of our models and development work.
  • great server user interface
  • good GPU connections
  • reliable
  • server start up is slow
  • resource cloning is slow
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
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.
  • Data Preprocessing
  • Model Training
  • Scalability
  • More free credits
  • Ease of use
  • Accessibility
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.
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.
  • Wide choice of resource options: CPU, RAM, GPU, TPU
  • Remote access from VS Studio
  • One-click Python server setup
  • Free entry plan with GPU
  • Pre-created fastai image would be helpful
Saturn Cloud is great for deep learning model developers who are keen on using vs code with a remote GPU-supported Jupyter server.
Score 10 out of 10
Vetted Review
Verified User
We use Saturn Cloud in our organization to address business problems with scalable machine learning and data processing workflows.
  • 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.
  • Easier to Learn: Saturn Cloud can improve by making it simpler for beginners with better guides and tutorials.
  • UI is a bit ugly
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.
Score 10 out of 10
Vetted Review
Verified User
Perform data science challenges and data science mini projects which requires high end cpus and high RAM. I have utilized the Saturn Cloud to implement these projects quickly.
  • Reliable cloud machines where there are no crashes during the work
  • Fast CPU as claimed by the Saturn Cloud
  • GPU support for advanced machine learning projects and activities
  • Disk Images need to have the latest versions of python, pandas and other such libraries used in machine learning
Data Science, Machine Learning Training are very much suitable.
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.
  • Scalability: One of Saturn Cloud's key strengths is its ability to scale resources quickly and easily. With just a few clicks, users can spin up new clusters with additional CPUs, memory, and storage as needed, allowing them to handle larger datasets and more complex workloads. Saturn Cloud also allows users to pause and resume clusters, which can help to reduce costs by only paying for resources when they're needed.
  • Collaboration: Saturn Cloud is designed with collaboration in mind, and includes a range of features that make it easy for teams to work together on data science projects. For example, users can share Jupyter notebooks and Python code with others, and collaborate in real-time using built-in chat and video conferencing tools. Saturn Cloud also provides centralized access control and auditing capabilities, which makes it easy to manage permissions and track changes.
  • User-friendly interface: Saturn Cloud's interface is designed to be easy to use, even for those without extensive technical expertise. The platform offers a range of pre-built templates and workflows that make it easy to get started with common tasks like data cleaning and model training, and includes a range of built-in tools and libraries for machine learning and data analysis. Additionally, Saturn Cloud offers a variety of tutorials and educational resources to help users get up to speed quickly.
  • 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.
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
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.
  • Operational stability
  • Cheap running prices
  • Friendly IDE interface
  • The possibility of working together
  • Personalised email alerts before auto-stop (customised times for early alerts)
  • Possibility of resetting already planned resources
  • Find tutorials more easily on my personal Saturn Cloud homepage
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
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!
  • Very stable performance
  • Very complete dependency
  • Very efficient rate
  • I can't think of anything that needs improvement at the moment
It is very suitable for mass processing of remote sensing image. Ideal for training large-scale machine learning models; Perfect for step testing;
Score 10 out of 10
Vetted Review
Verified User
I use it mainly for R&D to train and test ML and computer vision models for design and UX conceptualization.
  • Provides CPU resources
  • Provides GPU resources
  • Hosts notebooks and os disk images
  • Easier integration with google drive
  • Easier integration with gradio
  • Easier integration with third party ai tools and repos
Saturn is best suited for people that want to experiment with machine learning models and tests small app deployments.
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.
  • Jupyter Instances
  • Deep Learning
  • Cloud VM
  • Disk Backup
  • Managing Subscription
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 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.
  • Creates Python Server
  • Creates R Server
  • Host an API or an App
  • Schedule command
  • Data Analysis in Python and R
  • Create an end to end machine learning project
  • It does not have Java Server
  • Limited Storage in free Version
  • GPU Also Limited in Free Version
  • Web Development in future
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
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.
  • Ease of use
  • Cost effective
  • Scalable
  • Faster GPUs
  • GPU Parallelization support
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
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
  • It is stable.
  • It is available when you need.
  • It is easy to use.
  • Improve documentation, for example, in solving problems during the installation of libraries such as opencv.
  • Sometimes the loading time can be long.
  • It would be nice to be able to set an alarm to avoid forgetting a running machine.
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
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.
  • Cloud computing
  • Jupyter Notebooks
  • Customer Service
  • Add more GPUs/CPUs machine combinations
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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