Canny VS Saturn Cloud
Compare Canny VS Saturn Cloud and see what are their differences
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Canny
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Saturn Cloud
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Saturn Cloud is an award-winning ML platform with 75,000+ users, including NVIDIA, CFA Institute, Snowflake, Flatiron School, Nestle, and more. It is an all-in-one solution for data science & ML development, deployment, and data pipelines in the cloud. Users can spin up a notebook with 4TB of RAM, add a GPU, connect to a distributed cluster of workers, build large language models, and more in a completely hosted environment.
Data scientists and analysts work best using the tools they want to use. You can use your preferred languages, IDEs, and machine-learning libraries in Saturn Cloud. We offer full Git integration, shared custom images, and secure credential storage, making scaling and building your team in the cloud easy. We support the entire machine learning lifecycle from experimentation to production with features like jobs and deployments. These features and built-in tools are easily shareable within teams, so time is saved and work is reproducible.
Canny Saturn CloudSmooth and bug free experience. There are ready data science images with pre loaded packages for most common scenarios, making you focus on the project/problem and leave the infrastructure part to Saturn Cloud.
True story, way better than just sweating Colab. The best and cheapest compute services there is.
I have started using this to run the computations which generally require like 64+GB of RAM, and the procedure to setup the enviroment is also nice. Got all the R packages running smoothly.
Based on our record, Canny should be more popular than Saturn Cloud. It has been mentiond 41 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
This is a slightly different feature set, but being more customer feedback centric rather than OKR centric might be worth considering: https://canny.io/. Source: 6 months ago
Solutions like canny.io makes >$2M in ARR. My aim is to create product combining some features from canny and wiredash. Source: 6 months ago
Researched the market and found https://wiredash.io/ - which is great tool, but it costs so much. 99 usd monhtly is.... 5 hours of work in Poland, where I live. Also I want to share project roadmap with my users inside it. Something like https://canny.io/ integrated into app. Source: 6 months ago
Canny | Software Engineer | REMOTE | Full-time | https://canny.io Canny helps software companies keep track of feature requests to build better products. * Early-stage startup, 17 person team, $3m+ annual recurring revenue * 100% remote, distributed across US, Canada, Spain, Turkey * Bootstrapped and profitable https://careers.canny.io/?utm_source=hn Why work at Canny: https://canny.io/blog/work-at-canny/. - Source: Hacker News / 7 months ago
Please don't ask me to raise this on canny.io, this is not a feature request. I just want to know you either already know about it, or you will take this info and create your own task to sort it out. Neither should you ask me for screen images as this is a obvious issue found after a few minutes of playing with the functionality. Source: 8 months ago
Not 100% sure of your intention, but if you work with python, and you're familiar with (or can spend the time learning) dask, and willing to pay, you can consider coiled.io or saturncloud.io that offer managed dask that you can scale and use GPUs etc (again, not sure if applicable to your use case). Source: over 1 year ago
SaturnCloud - Data science cloud environment, that allows to run Jupyter notebooks and Dask clusters. 30 hours free computation and 3 hours of Dask per month. - Source: dev.to / over 1 year ago
I think your site looks good and I have used the type of service you offer, but there are 2 potential problems. As SheepherderPatient51 said,Google already offers all of this for free (and so does https://kaggle.com and https://www.paperspace.com ). There are also other sites just like yours such as https://deepnote.com,https://saturncloud.io, and https://lambdalabs.com . Source: over 1 year ago
* How does it differ from other GPU cloud providers that offer ready to use Jupyter notebooks? (E.g. https://support.genesiscloud.com/support/solutions/articles/47001170102-running-jupyter-notebook-or-jupyterlab-on-your-instance or https://saturncloud.io/). - Source: Hacker News / about 2 years ago
At the moment I am going to go to https://saturncloud.io/ or https://www.cloudeo.group/. Source: over 2 years ago
Upvoty - User feedback in 1 simple overview 🔥
Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.
Nolt - A fast & beautiful way to collect user feedback
Deepnote - A collaboration platform for data scientists
productboard - Beautiful and powerful product management.
Apache Zeppelin - A web-based notebook that enables interactive data analytics.