Ambari vs StatsD: What are the differences?

Developers describe Ambari as "A software for provisioning, managing, and monitoring Apache Hadoop clusters". This project is aimed at making Hadoop management simpler by developing software for provisioning, managing, and monitoring Apache Hadoop clusters. It provides an intuitive, easy-to-use Hadoop management web UI backed by its RESTful APIs. On the other hand, StatsD is detailed as "Simple daemon for easy stats aggregation". StatsD is a front-end proxy for the Graphite/Carbon metrics server, originally written by Etsy's Erik Kastner. StatsD is a network daemon that runs on the Node.js platform and listens for statistics, like counters and timers, sent over UDP and sends aggregates to one or more pluggable backend services (e.g., Graphite).

Ambari and StatsD can be primarily classified as "Monitoring" tools.

Some of the features offered by Ambari are:

• Alerts
• Ambari Python Libraries
• Automated Kerberizaton

On the other hand, StatsD provides the following key features:

• buckets: Each stat is in its own "bucket". They are not predefined anywhere. Buckets can be named anything that will translate to Graphite (periods make folders, etc)
• values: Each stat will have a value. How it is interpreted depends on modifiers. In general values should be integer.
• flush: After the flush interval timeout (defined by config.flushInterval, default 10 seconds), stats are aggregated and sent to an upstream backend service.

StatsD is an open source tool with 14.2K GitHub stars and 1.84K GitHub forks. Here's a link to StatsD's open source repository on GitHub.