I am currently using Pandas and Spark for data analysis. I found Dask provides parallelized NumPy array and Pandas DataFrame.

Pandas is easy and intuitive for doing data analysis in Python. But I find difficulty in handling multiple bigger dataframes in Pandas due to limited system memory.

I have researched about Dask and I got to know some facts regarding it. Overall I can understand Dask is simpler to use than spark. Dask is as flexible as Pandas with more power to compute with more cpu's parallely.

So, I want to know that roughly how much amount of data(in terabyte) can be processed with Dask?