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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Dropwizard Metrics vs NetData

Dropwizard Metrics vs NetData

OverviewComparisonAlternatives

Overview

Dropwizard Metrics
Dropwizard Metrics
Stacks29
Followers18
Votes0
GitHub Stars7.9K
Forks1.8K
Netdata
Netdata
Stacks226
Followers392
Votes82

Dropwizard Metrics vs NetData: What are the differences?

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; NetData: Real-time performance monitoring, done right!. Netdata is distributed, real-time, performance and health monitoring for systems and applications. It is a highly optimized monitoring agent you install on all your systems and containers.

Dropwizard Metrics and NetData can be categorized as "Monitoring" tools.

Dropwizard Metrics and NetData are both open source tools. It seems that NetData with 40.1K GitHub stars and 3.56K forks on GitHub has more adoption than Dropwizard Metrics with 6.64K GitHub stars and 1.64K GitHub forks.

According to the StackShare community, NetData has a broader approval, being mentioned in 10 company stacks & 60 developers stacks; compared to Dropwizard Metrics, which is listed in 4 company stacks and 3 developer stacks.

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Detailed Comparison

Dropwizard Metrics
Dropwizard Metrics
Netdata
Netdata

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.

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

Full-stack visibility; application-level metrics
Free, open-source; Easy installation and configuration; Access to monitoring unlimited metrics; Prebuilt dashboards and alarms; alerts on any metric, for a single host, an entire cluster, or your entire infrastructure; Tools for team collaboration; 800+ integrations
Statistics
GitHub Stars
7.9K
GitHub Stars
-
GitHub Forks
1.8K
GitHub Forks
-
Stacks
29
Stacks
226
Followers
18
Followers
392
Votes
0
Votes
82
Pros & Cons
No community feedback yet
Pros
  • 17
    Free
  • 14
    Easy setup
  • 12
    Graphs are interactive
  • 9
    Montiors datasbases
  • 9
    Well maintained on github
Integrations
Graphite
Graphite
Logback
Logback
Log4j
Log4j
Jetty
Jetty
Puppet Labs
Puppet Labs
CouchDB
CouchDB
ActiveMQ
ActiveMQ
Logstash
Logstash
Fail2ban
Fail2ban
TimescaleDB
TimescaleDB
Windows
Windows
Grafana
Grafana
MongoDB
MongoDB
RabbitMQ
RabbitMQ

What are some alternatives to Dropwizard Metrics, Netdata?

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.

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).

Jaeger

Jaeger

Jaeger, a Distributed Tracing System

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