1. It helps me deploy ML projects onto a server after configuring a few settings.

2. It features the creation of comprehensive ML production environments and supports recommendation systems, as well as anomaly detection on time series data.

3. I used it for time series analysis and anomaly detection, and it worked fine.

4. It also supports storage and backend integrations that are easy to integrate, making development fast and of high quality.

5. Easy to implement and config models in preditcitionIO platform. Review collected by and hosted on G2.com.

Number of built-in support algorithm is less in the comparision of other platform. Although we have option for creating custom engine as per our usecase. Review collected by and hosted on G2.com.