sudsmenon

6 ms·

1.
by sudsmenon 10y ago
Being able to do things like churn prediction and net promoter score in real time was one of the motivations for creating SnappyData. You get the ability to mutate data (think KPI maintenance in memory without having to jump across products
2.
by sudsmenon 10y ago
SnappyData has a Zeppellin interpreter and the code is open source. So if adding a interpreter for jupyter is something that can be easily added, I am sure someone from the community would find it a interesting project to undertake. Agree t
3.
by sudsmenon 11y ago
The beauty of open source is the we do not have to guess. Take a look at the source. GemFire offers some amazing capabilities and it would be foolish to not use them, but the integration of Spark into the platform is fairly deep and we inte
4.
by sudsmenon 11y ago
Fundamentally, any enterprise today has to deal with OLTP data, OLAP data (transactional plus other sources), Streaming and finally machine learning. Our premise is that you can choose to use 4 different platforms for each one or move to a
5.
by sudsmenon 11y ago
1> Most of it is straight up Apache 2.0 license. The only thing that is not Apache licensed is the approximate query processing piece which is closed source right now. We intend to build out a community and that predicates that much of w
6.
by sudsmenon 11y ago
FWIW, GemFire is all written in Java and has native clients for c++ and .net ( as well as REST clients). The product was built from the ground up in Java and runs highly scaled up , low latency systems across the globe. The place is called