Rocket DevOps (formerly Rocket Aldon) enables true end-to-end (CI/CD) for IBM i+ environments. Businesses can extend holistic DevSecOps best practices to the IBM i, pursue innovative experimentation, easily respond to compliance audits, and adapt to the ever-changing expectations of process, technology, or experience.
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Saturn Cloud
Score7.8 out of 10
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Saturn Cloud is an ML platform for individuals and teams, available on multiple clouds: AWS, Azure, GCP, and OCI. It provides access to computing resources with customizable amounts of memory and power, including GPUs and Dask distributed computing clusters, in a wholly hosted environment. Saturn Cloud is presented as flexible and straightforward for new data scientists while giving senior and experienced staff the
capabilities and configurability they need.…
Rocket Aldon is perfect for simple changes to traditional IBM i development using RPGLE, CL, and DDS. It is great for finding related objects that are referenced in many locations and helping recompile all of these objects. However, Aldon has a particularly hard time with SQL views. For some reason, it is determined to lock every table related to a view even though this is not required by the operating system. Whenever one view references another view, you are always in danger of losing a view permanently if you didn't check it out and promote it. To clarify, imagine you created a view CUSTOMER_INFO. Then you make another view called CUSTOMER_SHIPMENTS that joins the CUSTOMER_INFO to a shipping table. If you ever change CUSTOMER_INFO and then promote it, there is a good chance that Aldon will delete the CUSTOMER_SHIPMENTS view and you will not get a single warning. It doesn't happen every time but when it does you are going to have a real mess on your hands.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Saturn Cloud is a powerful data science platform that offers numerous benefits to organizations. It simplifies and streamlines the development, deployment, and scaling of data science and machine learning models. The platform addresses common business problems such as scalability, collaboration, efficiency, and cost-effectiveness. With Saturn Cloud, organizations can easily handle large datasets and complex computations, collaborate effectively among data science teams, automate repetitive tasks, optimize workflows, and utilize flexible and cost-efficient cloud resources. By leveraging Saturn Cloud, organizations can accelerate their data science projects, improve productivity, and achieve better outcomes in areas such as predictive modeling, recommendation systems, fraud detection, and more.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
While Saturn Cloud offers a range of pre-built templates and workflows, there is currently limited support for customization. For example, users may not be able to modify the pre-configured environments that come with the templates, or may find it difficult to integrate their own custom libraries and tools. Offering more flexibility in this area could help users tailor the platform to their specific needs and workflows.
While Saturn Cloud offers a variety of pre-built environments for data science and machine learning workloads, some users may prefer to use custom Docker images instead. However, the platform currently has limited support for Docker, which can be a limitation for users who need to work with specific dependencies or custom libraries. Adding more robust support for Docker could help to make the platform more versatile and adaptable to a wider range of use cases.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
This is user friendly , better than its counterparts. Anyone familiar working with other cloud solutions for GPU will agree on this. Hence the rating of 10 was given to this. I personally love the fact that I get so much compute time for being a free user which is very efficient in terms of budget
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Support is hit and miss. Sometimes they give some great assistance and sometimes they are no help at all. It always seems like they can't replicate the problem but then they never try to get on our system to do deeper research. It's kind of frustrating dealing with them. Also, the website isn't that helpful.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Aldon provides needed functions for our current implementations and legacy systems. As we move toward modernization, we are going to look at alternatives from reviewing cost, integration capabilities and functionality
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Saturn Cloud provides an R server, that's super important. Even you can write R on CoLab with different settings, but it is inconvenient and slow. Saturn Cloud can give me a different IDE environment that I'm more used to, even if I'm using Python. Whereas CoLab is more dedicated to Jupyter notebook
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Although we are still in the implementation phase with Saturn Cloud, we anticipate significant positive impacts on our business objectives.
The platform is expected to enhance our computational capabilities with its easy access to top-tier NVIDIA GPUs, which should accelerate our AI and machine learning projects. We believe this will lead to reduced development times and faster deployment of our generative AI models.
While Saturn Cloud provides excellent computational resources and reliable uptime, I find that their user interface could be improved. The UI can be unintuitive at times, making it a bit challenging to navigate and configure certain settings. Enhancing the user interface to be more streamlined and user-friendly would significantly improve the overall experience. Having pre-configured stacks readily available would also save time and make the platform even more efficient to use.
