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.