Kibana vs nodejs-dashboard

Overview

Kibana

Stacks20.6K

Followers16.4K

Votes262

GitHub Stars20.8K

Forks8.5K

nodejs-dashboard

Stacks25

Followers78

Votes0

GitHub Stars3.9K

Forks147

Kibana vs nodejs-dashboard: What are the differences?

Key Differences between Kibana and nodejs-dashboard

Integration with Elasticsearch: Kibana is specifically designed to work alongside Elasticsearch, providing a user-friendly interface to visualize and analyze data stored in Elasticsearch. On the other hand, nodejs-dashboard is a development tool that provides a real-time dashboard for Node.js applications, without any direct integration with Elasticsearch.
Data Visualization Capabilities: Kibana offers a wide range of powerful data visualization capabilities, allowing users to create interactive visualizations and dashboards using various chart types, maps, and filters. In contrast, nodejs-dashboard focuses more on providing real-time performance metrics, logging, and debugging information for Node.js applications, rather than data visualization.
Plugins and Extensions: Kibana provides a rich ecosystem of plugins and extensions that enable users to extend its functionality and integrate with other tools and services. These plugins can be used to add custom visualizations, implement additional security features, or integrate with external data sources. Nodejs-dashboard, being a development tool, does not have a similar plugin ecosystem.
User Interface: Kibana has a user-friendly web-based interface that allows users to interactively explore and analyze data. It provides a range of features such as drag-and-drop interface, filter controls, and pre-built visualizations. Nodejs-dashboard, on the other hand, provides a command-line interface with a real-time dashboard view, focused on displaying various performance metrics and debugging information.
Use Case: Kibana is commonly used in conjunction with Elasticsearch for log analysis, data visualization, and monitoring of distributed systems. It is often used by data analysts, business intelligence professionals, and system administrators. Nodejs-dashboard, on the other hand, is primarily used by developers during the development and debugging phase of Node.js applications to monitor performance and diagnose issues.
Deployment and Scalability: Kibana can be deployed as a standalone application or as part of the Elastic Stack (ELK stack) for handling large-scale data analytics and visualization. It is highly scalable and can handle large datasets efficiently. Nodejs-dashboard, being primarily a development tool, is not typically used in production environments and does not have the same level of scalability as Kibana.

In Summary, Kibana is a powerful data visualization tool that integrates with Elasticsearch and provides a user-friendly interface for exploring and analyzing data, while nodejs-dashboard is a development tool focused on real-time performance monitoring and debugging of Node.js applications.

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Advice on Kibana, nodejs-dashboard

matteo1989it

Jun 26, 2019

Reviewon

Kibana

Grafana

Elasticsearch

I use both Kibana and Grafana on my workplace: Kibana for logging and Grafana for monitoring. Since you already work with Elasticsearch, I think Kibana is the safest choice in terms of ease of use and variety of messages it can manage, while Grafana has still (in my opinion) a strong link to metrics

757k views757k

Comments

StackShare

Jun 25, 2019

Needs advice

From a StackShare Community member: “We need better analytics & insights into our Elasticsearch cluster. Grafana, which ships with advanced support for Elasticsearch, looks great but isn’t officially supported/endorsed by Elastic. Kibana, on the other hand, is made and supported by Elastic. I’m wondering what people suggest in this situation."

663k views663k

Comments

abrahamfathman

Jun 26, 2019

Reviewon

Kibana

Splunk

Grafana

I use Kibana because it ships with the ELK stack. I don't find it as powerful as Splunk however it is light years above grepping through log files. We previously used Grafana but found it to be annoying to maintain a separate tool outside of the ELK stack. We were able to get everything we needed from Kibana.

2.29M views2.29M

Comments

Detailed Comparison

Kibana	nodejs-dashboard
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.	Determine in realtime what's happening inside your node process from the terminal. No need to instrument code to get the deets. Also splits stderr/stdout to help spot errors sooner.
Flexible analytics and visualization platform;Real-time summary and charting of streaming data;Intuitive interface for a variety of users;Instant sharing and embedding of dashboards	-
Statistics
GitHub Stars 20.8K	GitHub Stars 3.9K
GitHub Forks 8.5K	GitHub Forks 147
Stacks 20.6K	Stacks 25
Followers 16.4K	Followers 78
Votes 262	Votes 0
Pros & Cons
Pros 88 Easy to setup 65 Free 45 Can search text 21 Has pie chart 13 X-axis is not restricted to timestamp Cons 7 Unintuituve 4 Elasticsearch is huge 4 Works on top of elastic only 3 Hardweight UI	No community feedback yet
Integrations
Logstash Elasticsearch Beats	Node.js

What are some alternatives to Kibana, nodejs-dashboard?

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.

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).

Jaeger

Jaeger, a Distributed Tracing System

Related Comparisons

Kibana vs nodejs-dashboard: What are the differences?

Key Differences between Kibana and nodejs-dashboard

Integration with Elasticsearch: Kibana is specifically designed to work alongside Elasticsearch, providing a user-friendly interface to visualize and analyze data stored in Elasticsearch. On the other hand, nodejs-dashboard is a development tool that provides a real-time dashboard for Node.js applications, without any direct integration with Elasticsearch.
Data Visualization Capabilities: Kibana offers a wide range of powerful data visualization capabilities, allowing users to create interactive visualizations and dashboards using various chart types, maps, and filters. In contrast, nodejs-dashboard focuses more on providing real-time performance metrics, logging, and debugging information for Node.js applications, rather than data visualization.
Plugins and Extensions: Kibana provides a rich ecosystem of plugins and extensions that enable users to extend its functionality and integrate with other tools and services. These plugins can be used to add custom visualizations, implement additional security features, or integrate with external data sources. Nodejs-dashboard, being a development tool, does not have a similar plugin ecosystem.
User Interface: Kibana has a user-friendly web-based interface that allows users to interactively explore and analyze data. It provides a range of features such as drag-and-drop interface, filter controls, and pre-built visualizations. Nodejs-dashboard, on the other hand, provides a command-line interface with a real-time dashboard view, focused on displaying various performance metrics and debugging information.
Use Case: Kibana is commonly used in conjunction with Elasticsearch for log analysis, data visualization, and monitoring of distributed systems. It is often used by data analysts, business intelligence professionals, and system administrators. Nodejs-dashboard, on the other hand, is primarily used by developers during the development and debugging phase of Node.js applications to monitor performance and diagnose issues.
Deployment and Scalability: Kibana can be deployed as a standalone application or as part of the Elastic Stack (ELK stack) for handling large-scale data analytics and visualization. It is highly scalable and can handle large datasets efficiently. Nodejs-dashboard, being primarily a development tool, is not typically used in production environments and does not have the same level of scalability as Kibana.

Kibana vs nodejs-dashboard

Overview

Kibana vs nodejs-dashboard: What are the differences?