Saturn Cloud is a cutting-edge tool designed to help data science teams transition to cloud-based operations without the need to switch their existing data science tools. It is an adaptable and efficient platform that revolutionizes the management of data science workflows in the cloud.

The advent of the digital age has made it essential for businesses to tap into data science and cloud computing to drive growth and unlock insights from their data. However, the shift towards cloud operations can often involve changing the tools your team is accustomed to, leading to inefficient workflows and steep learning curves. Saturn Cloud aims to bridge this gap by facilitating a seamless transition to the cloud without the need for tool replacement or modification.

Constructed as an advanced and robust cloud platform, Saturn Cloud's primary mission is to boost productivity among data science teams. It fosters a collaborative working environment where teams can share, build and deploy machine learning models and other data science tools in the cloud. With Saturn Cloud, team members can create and manage workflows smoothly, accelerating data analysis processes.

Notably, Saturn Cloud is built on Dask and RAPIDS, two leading open-source projects aimed at scaling data science pipelines. By leveraging these projects, Saturn Cloud ensures their users enjoy quick data science, regardless of their dataset's size. This is further supplemented by the capability of Saturn Cloud to automatically manage infrastructure, hence removing the barriers traditionally associated with moving data science operations to the cloud.

One of Saturn Cloud's significant merits is its compatibility with common data science tools. This addresses the challenge of changing and acclimating to new tools, which can hinder a team's productivity. Saturn Cloud seamlessly integrates with popular data science tools, making the transition to the cloud hassle-free.

With its powerful computing capabilities, Saturn Cloud guarantees speedy execution, reduced operational costs, and elevated performance. It supports both CPU and GPU workflows and offers on-demand access to handle heavy workloads. By accelerating their workflows, data science teams can focus more on deriving valuable insights from their data.

In conclusion, Saturn Cloud presents an intuitive and efficient solution to move data science operations into the cloud. Integration without having to replace existing tools, scalability, performance enhancement, and ease of use are some of the hallmark features that make Saturn Cloud an excellent tool for any data science team aiming to leverage cloud computing in their operations. It is a testament to the forward strides in data science and technology, pushing boundaries and increasing productivity and efficiency.