Apache Spark

AWS Azure Analytics 2 variations

Apache Spark 4 as a fully configured single node cluster, accepting analytics jobs within minutes of launch.

Base
Hardened build
minimal ports, security patches applied at build time
Access
Unique credentials
generated on first boot, readable only by root
Verified
Boots working
services pass a health gate before release
Support
24/7, 365 days
by email and live chat, 24 hour response SLA

Variations

Choose the operating system, cloud and version you need. Every variation is the same hardened Apache Spark image, built and supported by cloudimg.

ProductCloudOperating systemVersion
Apache Spark Single-Node Cluster AWS Standard View · Guide
Apache Spark 4.1 on Ubuntu Azure Ubuntu 4.1 View · Guide

Overview

Apache Spark is a distributed analytics engine for large scale batch, SQL and streaming data processing. This image runs a standalone single node cluster with the master and worker supervised by systemd, and Java 17 and Python 3 version matched for spark submit, spark sql, spark shell and PySpark.

Why the cloudimg image

The cluster is preconfigured and hardened, restarting its processes automatically with no external orchestrator, and a dedicated data volume keeps shuffle data and logs off the operating system disk. cloudimg provides 24/7 support covering cluster configuration, job tuning and enabling TLS and authentication.

Common uses

  • Big data processing
  • Spark SQL and ETL
  • PySpark data engineering