Apache Mesos is based on Twitter's expertise in deploying their cluster, Kubernetes on Google's. They do things in different ways. Spark seems to be in the same area as Hadoop, so not relevant to the conversation.
Yep, but there's an important difference I think...
Mesos (some customizations, but largely the same as open-source Apache Mesos) IS what Twitter uses to deploy and manage their clusters. Battle-hardened at scale running diverse production workloads.
With Kubernetes, we're told that it is built using architectural and philosophical principles proven to work at scale on Google's production systems. But it's a fairly clean-room built-from-scratch implementation and although developing quickly, is still immature and untested.
No. Apache Mesos was originally developed at the UC Berkeley AMPLab as a research project. Twitter was a very early adopter, who subsequently hired the Mesos author/creator.
