Saturn Cloud Reviews

Summary: I am using Saturn Cloud in machine learning & data science assignments & projects. What I most like in Saturn cloud is that you can use Jupiter notebook or Jupiter lab as if you are running them on your local machine. I was facing difficulty in getting used to Colab & Kaggle workspace until I knew about Saturn, and it really saved my time.

Positive: I am using Saturn Cloud in machine learning & data science assignments & projects. What I most like in Saturn Cloud is that you can use Jupiter notebook or Jupiter lab, the free 30 hours each month & the ease of preparing the workspace & installing the required libraries.

Negative: So far, I did not find any disadvantages about Saturn Cloud. However, it would be appreciated if you could increase the number of free hours from 30 hours each month to 30 hours each week, similar to Colab & Kaggle.

Summary: My experience is very positive. The environment was always available when I ran my calculations, and I never had crash problems.

Positive: It's easy to configure, use and integrate with GitHub. Comparing to other "free" alternatives it is stable and reliable.

Negative: I think it would be nice to decrease loading time and improve documentation to help users with the installation of some libraries, such as OpenCV.

Summary: We use the Saturn cloud to develop and test our models.
Saturn Cloud provides a user-friendly environment to test in real time.

Positive: Rapid development speed of Python with the raw power of distributed GPU computing.
Comprehensive and powerful platform for data science.

Negative: It would also be great to have a quick guide in French on how to start using Saturn Cloud.

Summary: My overall experience is great! I would absolutely recommend this to anyone looking for more power computational power.

Positive: I really enjoy using Saturn Cloud, as my first time using cloud computing it makes it super easy for me to work with really big data without having to know bash.

Negative: Occasionally, packages have difficulty loading in Python and R.

Summary: I've enjoyed using Saturn Cloud and continue to use it as it has been a good resource to teach other teammates how to use data science tools.

Positive: - Easy to use cloud computing platform for data science and bioinformatics. I was able to get started within a few min using the R server.
- Using the python server was also very easy to set up the environment with the bioinformatic packages I need and run.
- Pricing for larger compute resources is more affordable than AWS EC2.
- When I'm stuck on how to use the resources or need advice on using some package, the live chat is responsive and knowledgeable.

Negative: - Some of the documentation i.e. Create a Dashboard with Shiny wasn't straightforward and I couldn't use it to deploy my shiny app.
- Documentation could be a little more descriptive or show more examples on where to put commands. For example, the "Import Existing Docker Images" documentation has instructions for R servers but as a novice I don't know how to label some of the commands for the dockerfile which should be more clearly outlined. I had to go elsewhere to figure it out.

Summary: Great overall experience, love being able to create independent serves for different projects. Running clusters boosted my performance.

Positive: - EASY gpu access
- reoccurring hours
- able to run clusters
- start-up scripts
- easily share servers and work across organization

Negative: N/A.

Summary: If you are a team of analysts or an individual as myself i would recommend the platform. It is very easy to use and comes with tons of pre-made images you can use to get started quickly.

Positive: The platform has all the tools i need. I use an R-studio server. I really like that i have storage capacity that is persistent even when i am shutting down the server. Support has been great for the times i have had questions.

Negative: I don't really see any cons with noting with the platform.

Summary: Overall, I'd say it's a perfect choice for everyone looking for some beefy specs to run their projects on.

Positive: Everything about it stands out compared to competitors, such as the scalability, very low prices and a huge selection to truly personalize your experience.

Negative: No cons, really. Everything about is is just amazing in all its ways.

Summary: As previously mentioned, best option for free projects while still maintaining perfect performance, an amazing service truly.

Positive: - High free limits:
Gives me and my other schoolmates a perfect opportunity for our school projects.

Negative: Haven't found any cons yet, so I'd like to highlight this.

Summary: Amazing Cloud computing platform that enabled me to do my machine learning project for my final year college project. Would recommend to whoever that is looking for a free way to get into machine learning and cloud computing.

Positive: - Easy to use
- Works in the background
- Less Prone to errors
- Amazing UI
- Works with python, R
- Jupiter Notebook support

Negative: - Only 30hrs of computing, but best among competitors

Summary: Love it! Helpful if you are a data scientist. When you need more computing power than your PC, you can choose the Saturn Cloud, especially if you use R on a daily basis.

Positive: It is very powerful and stable, especially for tasks with a huge amount of computing (5+hours). When I ran the code for almost ten hours, it still worked very efficiently.

Negative: Loading time is a bit long when entering the server.

Summary: Clean interface, easy to link up locally.

Positive: Excellent alternative to Google Colab.

Negative: None so far.

Summary: Excellent! It is greatly helping me and students under my supervision. It is a convenient and user-friendly solution for anyone in need of scalable and powerful cloud computing resources.

Positive: Hassle-free setup. Very intuitive and convenient, particularly the free tier I am enjoying at the moment. I would definitely pay for a more powerful tier If I could.

Negative: The paid tiers are somewhat expensive for me at this moment.

Summary: It's an underrated platform I would highly recommend Saturn Cloud to any data science team or individual looking for a powerful, flexible, and secure platform for their work. With its scalability, flexibility, and security features, Saturn Cloud is an excellent choice for anyone who needs to process and analyze large amounts of data.

Positive: The platform is designed to make it easy for data scientists to collaborate and work together on projects, using their preferred tools and languages.

One of the main benefits of Saturn Cloud is its scalability. The platform is built on top of Kubernetes, which means that it can handle large datasets and complex computations with ease. This makes it a great choice for companies that need to process and analyze large amounts of data.

More importantly, they gave generous free-tier credit!!

Negative: Maybe the free tier credit is too low? xD But, given the platform itself, I can't complain much .

Summary: I recommend the Saturn Cloud as a platform witch increases good experiences in the services. It is fast and awesome.

Positive: It is fast and simple to use and understand the principles. Helped me in test of my code written in python using PyTorch.

Negative: I missed a tutorial for beginners in usage the Saturn Cloud, but a brief research in the documentation helps me a lot.