collectd vs StatsD

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

collectd is a System & Hardware solution with tags like monitoring, metrics, system, performance.

It boasts features such as 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 pros including 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.

On the other hand, StatsD is a Network & Admin product tagged with metrics, monitoring, statistics, aggregation.

Its standout features include 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 it shines with pros like Lightweight and high performance, Easy integration with applications, Flexible configuration and extensibility, Real-time metrics collection and aggregation, Horizontal scalability.

Feature	collectd	StatsD
Overall Score	N/A	N/A
Primary Category	System & Hardware	Network & Admin

Product Overview

collectd

Description: 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.

StatsD

Description: 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.

Key Features Comparison

collectd Features

• 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

StatsD Features

• 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

Pros & Cons Analysis

collectd

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

StatsD

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

Pricing Comparison

collectd

• Open Source

StatsD

• Open Source