I like that there is zero code involved in getting up and running with stream processing from event sources. It was easy enough to set up so it doesn't require much prior knowledge of streams/stream processing (even though they offer good tutorials). When we decided to go ahead with this product - even before any testing phase had taken place - their support team went above & beyond by providing us several additional resources including sample use cases via Github that could be used immediately after our project kick off. Stream processing with real-time analytics is one of our key focus areas at Vodafone India & we're leveraging eventor's cloud service called 'eventlor'. We were trying out some solutions from different vendors in stream computing space but couldn't find anything which could meet all these requirements (i) Low latency - events need not be persisted into db/ hdfd etc.(ii). High performance throughput(iii), ability integrate easily wt other systems like ksqlDB / dbtools, apache sparkSQL engineetc..