Hi guys. Is there a more lightweight way of stream processing with Spark? What we want is a simpler way, preferably with no scheduling, which just streams the data to destinations multiple.
We extensively use Spark Core, SQL, Streaming, GraphX, so it's our main tool and don't want to add new things to the stack like Storm or Flume, but from other side, it really takes much more resources on same streaming than our previous setup with Flume, especially if we have multiple destinations (triggers multiple actions/scheduling) -- RGRDZ Harut
