RocketML Pros and Cons

Computing system significantly reduces time and cost (over 50%) for machine learning tasks by utilizing advanced optimization methods, distributed algorithms, and pre-built models, allowing data scientists to accelerate application development with multi-cloud support. Review collected by and hosted on G2.com.

Building a machine learning application on RocketML might still require complex integration of pipelines, which can be challenging before final production. Review collected by and hosted on G2.com.

When creating an LLM specific to the healthcare domain, we used HPC for accelerated deep learning because we found it both cheaper and easier. It worked well with our open source model and integrated well with the frameworks that we were using. The documentation and support was to our satisfaction. We used the services over a year. Review collected by and hosted on G2.com.

The cost was the only differentiator that we felt could have been more competitive. Review collected by and hosted on G2.com.

I found that RocketML excels in speed, scalability, and ease of use, making it ideal for handling large datasets and complex computations rapidly. We had no issues as it seamlessly integrated with existing data pipelines and supported multiple machine learning frameworks. I loved the automated features, robust security, and cost-effective models enhance productivity and decision-making.

My last word - with a user-friendly interface and strong community support, RocketML offered a comprehensive, flexible, and efficient platform for machine learning practitioners who may not be pros (for the non-advanced features). Review collected by and hosted on G2.com.

Personally, I found RocketML's downsides to include high costs, especially for extensive use, and a steep learning curve for advanced features such as configuring the 3rd party clusters. It required significant computational resources, which was expensive and underutilized (we found the billing quite lacking in flexibility). Integration challenges may arise with less common tools, and the automated features might limit customization for some users. Overall, these factors contributed to advise my management to move away from RocketML. Review collected by and hosted on G2.com.

This AI works together with your company, helping to simplify and make more efficient tasks such as labeling, as well as data analysis that will help you make better decisions. Review collected by and hosted on G2.com.

It requires time for this AI to learn about your company, so you must have prior knowledge about how to group the information. Review collected by and hosted on G2.com.