Hi community Today I spent a whole day reading the docs: https://ignite.apache.org/docs/latest/
This is a well-written documentation for Ignite, thanks for the work. I have several questions that: #1, Is the most used feature of Ignite the distributed K/V storage? Can I treat it as the distributed Redis? #2, It says it supports streaming, distributed computing, ML Lib. Are they affected by Apache Spark? Are these three features production ready? #3, I saw that distributed computing has very few API methods. Will you expand them later? For example, map(), reduce(), group(), filter() etc. #4, The document says SQL and K/V are essentially the same stuff. So when to use SQL and when to use K/V interface? #5. Will you support dataframe in future? Yes, both Spark and R have the dataframe. The structure is quite easy to load outside data such as CSV, JSON etc. Thank you in advance for any help. Regards Jon Hua
