title: Standalone Manager Vs. Yarn Vs. Mesos
body: <p>On 3 node Spark/Hadoop cluster which scheduler(Manager) will work efficiently?
  Currently I am using Standalone Manager, but for each spark job I have to explicitly specify all resource parameters(e.g: cores,memory etc),which I want to avoid.
  I have tried Yarn as well, but it's running 10X slower than standalone manager.</p>
  
  <p>Can Mesos will be helpful?</p>
  
  <p><strong>Cluster Details:</strong> 
  Spark 1.2.1 and 
  Hadoop 2.7.1</p>