
Amazon SageMaker
Databricks Unified Analytics Platform
Azure Synapse Analytics
Deepnote
Google BigQuery
GeoSpock
Delta Lake
ML in the cloud. Loved by Data Scientists, Control for IT. Advance your business's ML capabilities through the entire experiment tracking lifecycle. Available on multiple clouds: AWS, Azure, GCP, and OCI.

ngrok
sish
LocalXpose
Pagekite
Pinggy.io
zrok
Portmap.io
Instantly share your localhost environment!

Which is more popular?
Based on our record, localhost.run should be more popular than Saturn Cloud. It has been mentioned 42 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | saturncloud.io | localhost.run |
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In their own words, as submitted to SaaSHub.


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...
No description of localhost.run yet.
What each product offers, as listed by its team.


Possible disadvantages
Possible disadvantages
An editorial look at what each product does well and who it suits.


No analysis of Saturn Cloud yet.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
Getting Started with Saturn Cloud
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How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Saturn Cloud and localhost.run. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


fast, easy to create container, clear bill
I have used many alternative platform but nothing comes close to this
Smooth 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.
localhost.run is very similar to Serveo but with less features. In fact, as far as I can tell, it only does 1 thing: expose your local web server to the web with a public URL. And it does that well enough for me.
Recommendations tracked on public social media and blogs since March 2021.


After the MLOps tooling evaluation, our focus shifted to data engineering. Some teams in the company were already using tools like Dask and xarray to manage and process their datasets. The architect was determined to build a data lake... - Source: dev.to / over 1 year 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... Source: over 3 years 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 / almost 4 years ago
- This asciinema: https://asciinema.org/a/674501?t=111 Any unix machine (currently only fedora and debian based distro dependencies are auto installed. Passwordless sudo recommended) with tmux if you run this ssh command you’ll get a... - Source: Hacker News / about 2 years ago
Localhost.run - Simple hosted SSH option. Supports custom domains for a cost. - Source: dev.to / over 2 years ago
Localhost.run — Expose locally running servers over a tunnel to a public URL. - Source: dev.to / over 2 years ago
When comparing Saturn Cloud and localhost.run, you can also consider the following products.

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One platform for accelerating data-driven innovation across data engineering, data science & business analytics
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An open source serveo/ngrok alternative. HTTP(S)/WS(S)/TCP Tunnels to localhost using only SSH.
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Get started with Azure SQL Data Warehouse for an enterprise-class SQL Server experience. Cloud data warehouses offer flexibility, scalability, and big data insights.
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Your network without the IT work. Radically simple, always-on tunneling service for mission-critical applications.
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