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  1. Stackups
  2. DevOps
  3. Log Management
  4. Log Management
  5. Logstash vs NetData

Logstash vs NetData

OverviewComparisonAlternatives

Overview

Logstash
Logstash
Stacks12.3K
Followers8.8K
Votes103
GitHub Stars14.7K
Forks3.5K
Netdata
Netdata
Stacks226
Followers392
Votes82

Logstash vs NetData: What are the differences?

Logstash: Collect, Parse, & Enrich Data. Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana; 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.

Logstash can be classified as a tool in the "Log Management" category, while NetData is grouped under "Monitoring Tools".

"Free" is the primary reason why developers consider Logstash over the competitors, whereas "Free" was stated as the key factor in picking NetData.

Logstash and NetData are both open source tools. NetData with 39K GitHub stars and 3.44K forks on GitHub appears to be more popular than Logstash with 10.3K GitHub stars and 2.76K GitHub forks.

According to the StackShare community, Logstash has a broader approval, being mentioned in 551 company stacks & 270 developers stacks; compared to NetData, which is listed in 7 company stacks and 11 developer stacks.

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Detailed Comparison

Logstash
Logstash
Netdata
Netdata

Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.

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

Centralize data processing of all types;Normalize varying schema and formats;Quickly extend to custom log formats;Easily add plugins for custom data source
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
14.7K
GitHub Stars
-
GitHub Forks
3.5K
GitHub Forks
-
Stacks
12.3K
Stacks
226
Followers
8.8K
Followers
392
Votes
103
Votes
82
Pros & Cons
Pros
  • 69
    Free
  • 18
    Easy but powerful filtering
  • 12
    Scalable
  • 2
    Kibana provides machine learning based analytics to log
  • 1
    Well Documented
Cons
  • 4
    Memory-intensive
  • 1
    Documentation difficult to use
Pros
  • 17
    Free
  • 14
    Easy setup
  • 12
    Graphs are interactive
  • 9
    Well maintained on github
  • 9
    Montiors datasbases
Integrations
Kibana
Kibana
Elasticsearch
Elasticsearch
Beats
Beats
Puppet Labs
Puppet Labs
CouchDB
CouchDB
ActiveMQ
ActiveMQ
Fail2ban
Fail2ban
TimescaleDB
TimescaleDB
Windows
Windows
Grafana
Grafana
MongoDB
MongoDB
RabbitMQ
RabbitMQ
Apache Tomcat
Apache Tomcat

What are some alternatives to Logstash, 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.

Papertrail

Papertrail

Papertrail helps detect, resolve, and avoid infrastructure problems using log messages. Papertrail's practicality comes from our own experience as sysadmins, developers, and entrepreneurs.

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.

Logmatic

Logmatic

Get a clear overview of what is happening across your distributed environments, and spot the needle in the haystack in no time. Build dynamic analyses and identify improvements for your software, your user experience and your business.

Loggly

Loggly

It is a SaaS solution to manage your log data. There is nothing to install and updates are automatically applied to your Loggly subdomain.

Logentries

Logentries

Logentries makes machine-generated log data easily accessible to IT operations, development, and business analysis teams of all sizes. With the broadest platform support and an open API, Logentries brings the value of log-level data to any system, to any team member, and to a community of more than 25,000 worldwide users.

Nagios

Nagios

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

Graylog

Graylog

Centralize and aggregate all your log files for 100% visibility. Use our powerful query language to search through terabytes of log data to discover and analyze important information.

Zabbix

Zabbix

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

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