collectd vs snap-telemetry

Struggling to choose between collectd and snap-telemetry? 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, snap-telemetry is a Development product tagged with metrics, monitoring, observability, opensource.

Its standout features include Collects metrics from applications and systems, Supports ingesting, processing, visualizing, and exporting metrics, Built as a modular framework that can be extended, Includes data collection agents for common data sources, Stores time-series data efficiently, Visualize metrics through built-in Grafana dashboards, Alerting based on metric thresholds, Distributed pipeline for processing metrics, and it shines with pros like Open source and free to use, Highly scalable and efficient, Modular architecture allows customization, Good documentation and community support, Integrates well with common data sources, Powerful visualization and dashboarding capabilities.

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.

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


snap-telemetry

snap-telemetry

Snap Telemetry is an open-source telemetry framework designed for collecting metrics and data from systems and applications. It supports ingesting, processing, visualizing and exporting metrics for monitoring and observability.

Categories:
metrics monitoring observability opensource

Snap-telemetry Features

  1. Collects metrics from applications and systems
  2. Supports ingesting, processing, visualizing, and exporting metrics
  3. Built as a modular framework that can be extended
  4. Includes data collection agents for common data sources
  5. Stores time-series data efficiently
  6. Visualize metrics through built-in Grafana dashboards
  7. Alerting based on metric thresholds
  8. Distributed pipeline for processing metrics

Pricing

  • Open Source

Pros

Open source and free to use

Highly scalable and efficient

Modular architecture allows customization

Good documentation and community support

Integrates well with common data sources

Powerful visualization and dashboarding capabilities

Cons

Can have a complex setup

Requires some DevOps experience to run and manage

Limited built-in alerting capabilities

Grafana integration needs additional setup

Not as fully-featured as commercial alternatives