StatsD vs Statsite

Overview

StatsD

Stacks373

Followers293

Votes31

Statsite

Stacks4

Followers25

Votes0

StatsD vs Statsite: What are the differences?

Data Aggregation: One key difference between StatsD and Statsite is that StatsD performs data aggregation on the client side, while Statsite does it on the server side. This means that StatsD sends aggregated data to the server, reducing the amount of network traffic, whereas Statsite receives raw data and performs aggregation calculations internally.
Programming Language: Another difference is the programming language used for implementation. StatsD is written in Node.js, making it easier for users familiar with JavaScript to work with, while Statsite is written in C/C++, which provides better performance in terms of data processing speed and efficiency.
Extensibility: StatsD is more extensible compared to Statsite. StatsD allows for easy creation of custom implementations and modifications, thanks to its open-source nature and active community support. On the other hand, Statsite may have limitations in terms of customization and extension due to its design and architecture.
Metrics Support: StatsD is primarily focused on simple metrics collection and aggregation, suitable for basic monitoring needs. In contrast, Statsite offers more advanced features such as support for high cardinality data, histograms, timers, and percentiles, making it more suitable for complex metrics analysis and performance monitoring.
Community Popularity: StatsD is widely adopted and supported by a large community of users and contributors, leading to better documentation, plugins, and integrations. While Statsite may have a smaller user base and less community support, potentially resulting in fewer resources and assistance available for users.
Ease of Setup: StatsD is known for its simplicity in setup and configuration, making it more user-friendly for beginners or those looking for a quick and straightforward monitoring solution. In comparison, Statsite may have a steeper learning curve due to its more advanced features and finer configuration options.

In Summary, StatsD and Statsite differ in terms of data aggregation method, programming language, extensibility, metrics support, popularity within the community, and ease of setup.

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CLI (Node.js)

Manual

Detailed Comparison

StatsD	Statsite
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).	Statsite is a metrics aggregation server. Statsite is based heavily on Etsy's StatsD https://github.com/etsy/statsd, and is wire compatible.
Network daemon; Runs on the Node.js platform; Sends aggregates to one or more pluggable backend services	Multiple metric types;Efficient summary metrics for timer data;Dynamic set implementation;Binary protocol
Statistics
Stacks 373	Stacks 4
Followers 293	Followers 25
Votes 31	Votes 0
Pros & Cons
Pros 9 Open source 7 Single responsibility 5 Efficient wire format 3 Loads of integrations 3 Handles aggregation Cons 1 No authentication; cannot be used over Internet	No community feedback yet
Integrations
Node.js Docker Graphite	No integrations available

What are some alternatives to StatsD, Statsite?

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

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

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

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.

Jaeger

Jaeger, a Distributed Tracing System

Related Comparisons

StatsD vs Statsite: What are the differences?

Data Aggregation: One key difference between StatsD and Statsite is that StatsD performs data aggregation on the client side, while Statsite does it on the server side. This means that StatsD sends aggregated data to the server, reducing the amount of network traffic, whereas Statsite receives raw data and performs aggregation calculations internally.
Programming Language: Another difference is the programming language used for implementation. StatsD is written in Node.js, making it easier for users familiar with JavaScript to work with, while Statsite is written in C/C++, which provides better performance in terms of data processing speed and efficiency.
Extensibility: StatsD is more extensible compared to Statsite. StatsD allows for easy creation of custom implementations and modifications, thanks to its open-source nature and active community support. On the other hand, Statsite may have limitations in terms of customization and extension due to its design and architecture.
Metrics Support: StatsD is primarily focused on simple metrics collection and aggregation, suitable for basic monitoring needs. In contrast, Statsite offers more advanced features such as support for high cardinality data, histograms, timers, and percentiles, making it more suitable for complex metrics analysis and performance monitoring.
Community Popularity: StatsD is widely adopted and supported by a large community of users and contributors, leading to better documentation, plugins, and integrations. While Statsite may have a smaller user base and less community support, potentially resulting in fewer resources and assistance available for users.
Ease of Setup: StatsD is known for its simplicity in setup and configuration, making it more user-friendly for beginners or those looking for a quick and straightforward monitoring solution. In comparison, Statsite may have a steeper learning curve due to its more advanced features and finer configuration options.

In Summary, StatsD and Statsite differ in terms of data aggregation method, programming language, extensibility, metrics support, popularity within the community, and ease of setup.

StatsD vs Statsite

Overview