title: Executor framework vs Apache Spark when consuming Kafka Consumer Topics
body: <p>My organization is using the java executor framework for consuming Kafka topics from other producers using Kafka Consumer Api and achieving real time stream processing.</p>
  <p>Now i want to achieve the same using Apache Spark.</p>
  <p>So i want some inputs on the below:</p>
  <p>Executor framework vs Apache Spark when consuming Kafka Consumer API Topics and achieving real time streaming.</p>
  <p>Advantage of using Apache Spark over Executor framework with respect to the below:</p>
  <p>Performance
  Resiliency
  Scalability
  No Data Loss
  Maintainability of code.</p>