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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Chronograf vs Kamon

Chronograf vs Kamon

OverviewComparisonAlternatives

Overview

Chronograf
Chronograf
Stacks44
Followers57
Votes5
GitHub Stars30.8K
Forks3.7K
Kamon
Kamon
Stacks7
Followers12
Votes3

Chronograf vs Kamon: What are the differences?

Key differences between Chronograf and Kamon

  1. Purpose and focus: Chronograf is primarily a visualization tool used for monitoring and analyzing time-series data, while Kamon is a tool specifically designed for monitoring applications built on the Scala and Play frameworks.

  2. Open-source nature: Chronograf is an open-source project that is part of the larger TICK Stack (Telegraf, InfluxDB, Chronograf, and Kapacitor), whereas Kamon is also open-source but is more focused on providing specialized monitoring capabilities for Scala and Play applications.

  3. Data sources: Chronograf is designed to work seamlessly with InfluxDB as its main data source, allowing users to easily visualize and explore data stored in InfluxDB. On the other hand, Kamon can integrate with various data sources and also provides additional features tailored for Scala and Play applications.

  4. Community support: Chronograf benefits from a larger community of users and contributors due to its integration with InfluxDB and the wider adoption of the TICK Stack, leading to a more extensive support network and resources. Kamon, being more specialized, has a smaller but dedicated community that focuses on supporting Scala and Play developers.

  5. Features and capabilities: Chronograf offers a wide range of visualization options, dashboard customization, and alerting functionalities specifically suited for time-series data analysis. In contrast, Kamon provides targeted metrics, instrumentation, and tracing capabilities that are essential for monitoring the performance and behavior of Scala and Play applications.

In Summary, Chronograf is focused on time-series data visualization and integrates seamlessly with InfluxDB, whereas Kamon is tailored for monitoring Scala and Play applications with specialized metrics and instrumentation features.

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Detailed Comparison

Chronograf
Chronograf
Kamon
Kamon

The complete interface. allows you to quickly see the data that you have stored, so you can build robust queries and alerts.

Kamon helps developers find and fix performance issues in Akka and Play Framework microservices. Kamon Telemetry is a battle tested free and open-source instrumentation library and Kamon APM is an easy-to-use APM with pre-built dashboards.

-
Pre built integrations for Akka/Play/JVM/JDBC; Distributed tracing; Services Map; Separate test and production environments; Host monitoring; Custom dashboards; Alerting
Statistics
GitHub Stars
30.8K
GitHub Stars
-
GitHub Forks
3.7K
GitHub Forks
-
Stacks
44
Stacks
7
Followers
57
Followers
12
Votes
5
Votes
3
Pros & Cons
Pros
  • 1
    Free
  • 1
    Easy
  • 1
    Open Source
  • 1
    It´s extremely compatible with Influxdb
  • 1
    Can build dashboards
Pros
  • 1
    Affordable for small teams or startups
  • 1
    Easy set-up
  • 1
    Generous free plan (up to 5 services, no time limit)

What are some alternatives to Chronograf, Kamon?

Grafana

Grafana

Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.

Kibana

Kibana

Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

Prometheus

Prometheus

Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.

Nagios

Nagios

Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.

Netdata

Netdata

Netdata collects metrics per second & presents them in low-latency dashboards. It's designed to run on all of your physical & virtual servers, cloud deployments, Kubernetes clusters & edge/IoT devices, to monitor systems, containers & apps

Zabbix

Zabbix

Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.

Sensu

Sensu

Sensu is the future-proof solution for multi-cloud monitoring at scale. The Sensu monitoring event pipeline empowers businesses to automate their monitoring workflows and gain deep visibility into their multi-cloud environments.

Graphite

Graphite

Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand

Lumigo

Lumigo

Lumigo is an observability platform built for developers, unifying distributed tracing with payload data, log management, and real-time metrics to help you deeply understand and troubleshoot your systems.

StatsD

StatsD

It is a network daemon that runs on the Node.js platform and listens for statistics, like counters and timers, sent over UDP or TCP and sends aggregates to one or more pluggable backend services (e.g., Graphite).

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