---
layout: "guides"
page_title: "Running Apache Spark on Nomad"
sidebar_current: "guides-spark-spark"
description: |-
  Learn how to run Apache Spark on a Nomad cluster.
---

# Running Apache Spark on Nomad

Nomad is well-suited for analytical workloads, given its [performance 
characteristics](https://www.hashicorp.com/c1m/) and first-class support for 
[batch scheduling](https://www.nomadproject.io/docs/runtime/schedulers.html). 
Apache Spark is a popular data processing engine/framework that has been 
architected to use third-party schedulers. The Nomad ecosystem includes a 
[fork of Apache Spark](https://github.com/hashicorp/nomad-spark) that natively 
integrates Nomad as a cluster manager and scheduler for Spark. When running on 
Nomad, the Spark executors that run Spark tasks for your application, and 
optionally the application driver itself, run as Nomad tasks in a Nomad job.

## Next Steps

The links in the sidebar contain detailed information about specific aspects of 
the integration, beginning with [Getting Started](/guides/spark/pre.html).