Cacti vs Dropwizard Metrics

Overview

Cacti

Stacks89

Followers202

Votes10

Dropwizard Metrics

Stacks29

Followers18

Votes0

GitHub Stars7.9K

Forks1.8K

Cacti vs Dropwizard Metrics: What are the differences?

Cacti: Cacti stores all of the necessary information to create graphs and populate them with data in a MySQL database. Cacti is a complete network graphing solution designed to harness the power of RRDTool's data storage and graphing functionality. Cacti provides a fast poller, advanced graph templating, multiple data acquisition methods, and user management features out of the box; Dropwizard Metrics: Capturing JVM- and application-level metrics. It is a Java library which gives you insight into what your code does in production. It provides a powerful toolkit of ways to measure the behavior of critical components in your production environment. It provides you with full-stack visibility.

Cacti and Dropwizard Metrics belong to "Monitoring Tools" category of the tech stack.

Dropwizard Metrics is an open source tool with 6.64K GitHub stars and 1.64K GitHub forks. Here's a link to Dropwizard Metrics's open source repository on GitHub.

According to the StackShare community, Cacti has a broader approval, being mentioned in 7 company stacks & 28 developers stacks; compared to Dropwizard Metrics, which is listed in 4 company stacks and 3 developer stacks.

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Detailed Comparison

Cacti	Dropwizard Metrics
Cacti is a complete network graphing solution designed to harness the power of RRDTool's data storage and graphing functionality. Cacti provides a fast poller, advanced graph templating, multiple data acquisition methods, and user management features out of the box.	It is a Java library which gives you insight into what your code does in production. It provides a powerful toolkit of ways to measure the behavior of critical components in your production environment. It provides you with full-stack visibility.
Unlimited number of graph items can be defined for each graph optionally utilizing CDEFs or data sources from within cacti.;Automatic grouping of GPRINT graph items to AREA, STACK, and LINE[1-3] to allow for quick re-sequencing of graph items.;Auto-Padding support to make sure graph legend text lines up.;Graph data can be manipulated using the CDEF math functions built into RRDTool. These CDEF functions can be defined in cacti and can be used globally on each graph.;Data sources can be created that utilize RRDTool's "create" and "update" functions. Each data source can be used to gather local or remote data and placed on a graph.	Full-stack visibility; application-level metrics
Statistics
GitHub Stars -	GitHub Stars 7.9K
GitHub Forks -	GitHub Forks 1.8K
Stacks 89	Stacks 29
Followers 202	Followers 18
Votes 10	Votes 0
Pros & Cons
Pros 3 Rrdtool based 3 Free 2 Fast poller 1 Graphs from snmp 1 Graphs from language independent scripts	No community feedback yet
Integrations
RRDtool	Graphite Logback Log4j Jetty

What are some alternatives to Cacti, Dropwizard Metrics?

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.

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).