Stream Ops for Java is a fully embeddable data streaming engine and stream processing API for Java. The data streaming engine and the stream processing API can be used together, or separately.
Stream Ops addresses the same use cases as Kafka, but with some significant design differences which gives you a higher degree of architectural freedom. You can embed Stream Ops in a mobile app, desktop app, microservice, web app backend, and possibly also inside serverless functions like AWS Lambda etc. (we are still looking into how this can be done) and Google App Engine apps.
Stream Ops design differences also supports a wider set of use cases than Kafka does out-of-the-box. We will describe these differences as the code that provides them is cleaned up and released.
Stream Ops is developed by Nanosai: http://nanosai.com
We have a Stream Ops tutorial in progress here:
http://tutorials.jenkov.com/stream-ops-java/index.html
We (Nanosai) will try to get Stream Ops to be able to process 1 billion records per second. You can read more about that challenge at The 1BRS Challenge.
The intention is to release Stream Ops under the Apache License 2.0 . We need to discuss this a bit further internally in Nanosai, but in any case, it will be something close to that.