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Saturn Cloud description
Saturn Cloud is a cloud-based platform designed for data science and machine learning. It allows teams to build, test, and deploy machine learning models using their preferred tools and languages. Saturn Cloud manages all the technical infrastructure, so users can focus on developing and deploying their applications. It offers features like scalable computing power, collaboration tools, and integrations with popular data science technologies. Saturn Cloud aims to simplify and accelerate the entire machine learning process from experimentation to production.
What companies are using Saturn Cloud?
Who is Saturn Cloud best for
Saturn Cloud is a user-friendly platform ideal for data scientists and machine learning engineers looking to streamline their model development and deployment. Users praise its intuitive interface, free GPU access, and seamless GitHub integration. However, some have noted slow Jupyter server connections and limited free tier options. If you need a powerful, scalable cloud platform for your machine learning workflows, Saturn Cloud is worth exploring.
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Best fit for small companies and startups.
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A good fit for data science and machine learning focused companies.
Saturn Cloud features
| Supported Saturn Cloud supports deploying models to the cloud. |
| Supported Saturn Cloud fully supports Python-based data processing, especially with Dask for parallel computing. |
| Supported Saturn Cloud supports GPU training for accelerated machine learning. |
We evaluate the sentiment that users express about non-functional aspects of the software
Value and Pricing Transparency
Customer Service
Ease of Use
Reliability and Performance
Ease of Implementation
Scalability
Saturn Cloud reviews
We've summarised 278 Saturn Cloud reviews (Saturn Cloud TrustPilot reviews and Saturn Cloud G2 reviews) and summarised the main points below.
- Easy to use and intuitive interface.
- Free GPU access and generous free tier.
- Seamless GitHub integration.
- Powerful computing resources and scalability.
- Connecting to Jupyter server can be slow.
- Limited options for free tier regarding GPU.
- Setup time for environments can be lengthy.
- Stock Jupyter interface could be improved.
Saturn Cloud pricing
The commentary is based on 121 reviews from Saturn Cloud G2 reviews and Saturn Cloud TrustPilot reviews.
Saturn Cloud's pricing receives mixed reviews. While the free tier is praised for its generous GPU hours, enabling students and researchers to explore machine learning, some users find the paid subscriptions more costly compared to other cloud platforms. Others express a desire for more transparent pricing and flexible options.
Users sentiment
See the Saturn Cloud pricing page.
Saturn Cloud alternatives
Qlik AutoMLBetter for non-technical users in enterprise businesses needing automated machine learning. A no-code platform focused on predictive modeling and insights, unlike Saturn Cloud's focus on Python-based development and GPU computing.Read more
Amazon SageMakerBetter for enterprise companies. Has more momentum. Pricing is viewed negatively.Read more
MATLABBetter suited for enterprise companies and established industries. Offers strong data visualization, modeling, and simulation capabilities but has a steeper learning curve and higher cost. Website traffic is growing faster.Read more
SAS ViyaBetter fit for enterprise companies. Has more momentum in website traffic and employee growth. More comprehensive data analytics platform, but more expensive and complex to implement.Read more
AporiaBetter for ensuring AI security and reliability. Focuses on securing AI-powered chatbots and offers customizable monitoring. Website traffic is growing faster, but employee growth is declining. More user-friendly interface even for non-data scientists.Read more
SAS Visual Data Mining and Machine LearningBetter for enterprise companies. More visual interface focused. Less transparent pricing. Has growing website traffic and employee base.Read more
Saturn Cloud FAQ
What is Saturn Cloud and what does Saturn Cloud do?
Saturn Cloud is a cloud platform for data science and machine learning, simplifying model building, testing, and deployment. It offers scalable computing, collaboration tools, and integrations with popular data science technologies, enabling users to focus on developing and deploying applications.
How does Saturn Cloud integrate with other tools?
Saturn Cloud integrates seamlessly with popular data science tools, including Python and Dask for parallel computing. It also supports GPU training and cloud deployment, streamlining the machine learning process. GitHub integration further enhances collaborative development.
What the main competitors of Saturn Cloud?
Alternatives to Saturn Cloud include Qlik AutoML for automated model building, Amazon SageMaker for streamlined ML workflows, MATLAB for complex mathematical modeling, and SAS Viya for comprehensive data analytics. These competitors offer various features for data science and machine learning tasks.
Is Saturn Cloud legit?
Yes, Saturn Cloud is a legitimate cloud platform for data science and machine learning. It's known for its ease of use, GPU access, and GitHub integration, though some users mention slow Jupyter server connections. Positive ratings on G2 and Glassdoor further support its legitimacy and positive user experience.
How much does Saturn Cloud cost?
Unfortunately, pricing information for Saturn Cloud is not available. Contact Saturn Cloud directly to discuss product pricing and determine if it's worth the investment for your needs.
Is Saturn Cloud customer service good?
Saturn Cloud's customer service is highly regarded by users. Reviews frequently mention fast, helpful, and responsive support, making it easy to get assistance with technical issues and platform usage.
Reviewed by
Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.
Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.