R and Python provide some libraries for the analysis of time-series. These methods can be used in Dataiku DSS through R and Python recipes.
To prototype your recipes, you can use R or Python notebooks.
Dataiku DSS comes with a set of pre-built notebooks, for time-series analysis a notebook written in Python is available. For time-series forecasting a notebook written in R is also available, with ARIMA methods.
To use these pre-built notebooks, open a dataset containing your time-series data, go to the lab and select pre-built notebooks from the right panel, then choose the time-series notebook of your choice.