StatsD vs collectd

Struggling to choose between StatsD and collectd? Both products offer unique advantages, making it a tough decision.

StatsD is a Network & Admin solution with tags like metrics, monitoring, statistics, aggregation.

It boasts features such as Aggregates metrics and counts from application servers, Supports pluggable backends like Graphite for storage, Provides APIs for collecting metrics from applications, Calculates metrics like rates, timers, histograms, Scales horizontally with multiple StatsD instances and pros including Lightweight and high performance, Easy integration with applications, Flexible configuration and extensibility, Real-time metrics collection and aggregation, Horizontal scalability.

On the other hand, collectd is a System & Hardware product tagged with monitoring, metrics, system, performance.

Its standout features include Plugin architecture allows collecting metrics from a variety of sources, Built-in plugins for common system metrics like CPU usage, memory usage, disk usage, network usage etc, Can collect metrics from various applications and services like Apache, MySQL, Nginx, MongoDB etc via plugins, Metrics can be collected at predefined intervals, Collected metrics can be stored locally or sent to remote destinations, Supports writing metrics to RRD files, CSV files, Graphite etc, Can visualize metrics via plugins for Grafana, Graphite etc, and it shines with pros like Lightweight and low resource usage, Extensible via plugins, Wide range of built-in plugins, Can collect granular metrics on system and applications, Flexible storage options for metrics, Easy to set up and configure.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

StatsD

StatsD

StatsD is a network daemon for statistics aggregation and metric tracking. It listens for metrics over UDP or TCP, aggregates the metrics, and flushes them to backend services like Graphite.

Categories:
metrics monitoring statistics aggregation

StatsD Features

  1. Aggregates metrics and counts from application servers
  2. Supports pluggable backends like Graphite for storage
  3. Provides APIs for collecting metrics from applications
  4. Calculates metrics like rates, timers, histograms
  5. Scales horizontally with multiple StatsD instances

Pricing

  • Open Source

Pros

Lightweight and high performance

Easy integration with applications

Flexible configuration and extensibility

Real-time metrics collection and aggregation

Horizontal scalability

Cons

Loss of metrics possible with UDP transport

Additional overhead compared to in-app metrics

Configuration can be complex for advanced use cases

Limited built-in visualization capabilities


collectd

collectd

collectd is an open source system statistics collection daemon. It collects system performance statistics periodically and provides methods to store the values in a variety of ways, for example in RRD files.

Categories:
monitoring metrics system performance

Collectd Features

  1. Plugin architecture allows collecting metrics from a variety of sources
  2. Built-in plugins for common system metrics like CPU usage, memory usage, disk usage, network usage etc
  3. Can collect metrics from various applications and services like Apache, MySQL, Nginx, MongoDB etc via plugins
  4. Metrics can be collected at predefined intervals
  5. Collected metrics can be stored locally or sent to remote destinations
  6. Supports writing metrics to RRD files, CSV files, Graphite etc
  7. Can visualize metrics via plugins for Grafana, Graphite etc

Pricing

  • Open Source

Pros

Lightweight and low resource usage

Extensible via plugins

Wide range of built-in plugins

Can collect granular metrics on system and applications

Flexible storage options for metrics

Easy to set up and configure

Cons

Documentation can be technical and hard to follow

Plugin quality can vary

No built-in dashboard

Limited ad-hoc querying of metrics