It is not easy to use the R language. Though I don't know if it's possible, I believe it is possible, but it is not the best language for machine learning. This feature could be improved.
Although its workflow is pretty neat, it still requires a lot of transformation coding; especially when it comes to Python and other demanding programming languages. It should be more like other solutions that don't require that much coding.
What is Streaming Analytics? Streaming analytics, also known as event stream processing (ESP), refers to the analyzing and processing of large volumes of data through the use of continuous queries. Traditionally, data is moved in batches. While batch processing may be an efficient method for handling huge pools of data, it is not suitable for time-sensitive, “in-motion” data that could otherwise be streamed, since that data can expire by the time it is processed. By using streaming...
The setup could be simpler.
It is not easy to use the R language. Though I don't know if it's possible, I believe it is possible, but it is not the best language for machine learning. This feature could be improved.
DataFlow feels like using a closed environment - you have to keep data in it, and you can't work with virtual data outside of it.
Although its workflow is pretty neat, it still requires a lot of transformation coding; especially when it comes to Python and other demanding programming languages. It should be more like other solutions that don't require that much coding.