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Kibana vs NetData: What are the differences?

## Key Differences between Kibana and NetData

Kibana is a data visualization and exploration tool while NetData is a real-time system monitoring and troubleshooting tool. One major difference between Kibana and NetData is their focus on different aspects of monitoring. Kibana focuses on data analysis and visualization, providing users with the ability to create interactive dashboards and in-depth reports based on the data collected. On the other hand, NetData focuses on real-time monitoring, offering users a detailed look at system metrics and performance indicators as they happen. 

Another key difference is the type of data each tool can monitor. Kibana is primarily designed for log analysis and visualization, allowing users to analyze log data from various sources and systems. In contrast, NetData focuses on system and infrastructure metrics, providing detailed insights into CPU usage, memory consumption, disk I/O, network traffic, and more. 

Additionally, the architecture of Kibana and NetData differs significantly. Kibana is typically used in conjunction with Elasticsearch, forming part of the ELK (Elasticsearch, Logstash, Kibana) stack for log analysis. On the other hand, NetData is a standalone monitoring tool that can directly collect system metrics without additional dependencies. 

Furthermore, the user interface of Kibana and NetData varies in terms of complexity and customization options. Kibana offers a highly customizable and interactive UI, allowing users to create visually appealing dashboards and reports with drag-and-drop features. In contrast, NetData provides a simple yet informative interface that focuses on presenting real-time metrics in a straightforward manner. 

Another key difference between Kibana and NetData is their scalability and deployment options. Kibana is typically used for centralized data visualization in large-scale environments, offering features for scaling horizontally and managing multiple data sources efficiently. In contrast, NetData is more suited for distributed monitoring across multiple systems and servers, providing lightweight agents that can be deployed on individual machines for real-time insights into system performance.

In summary, Kibana is a data visualization tool focused on log analysis and interactive dashboards, while NetData is a real-time monitoring tool providing detailed insights into system metrics and performance indicators as they happen.
Advice on Kibana and Netdata
Needs advice
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GrafanaGrafana
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KibanaKibana

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."

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Replies (7)
Recommends
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GrafanaGrafana
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For our Predictive Analytics platform, we have used both Grafana and Kibana

Kibana has predictions and ML algorithms support, so if you need them, you may be better off with Kibana . The multi-variate analysis features it provide are very unique (not available in Grafana).

For everything else, definitely Grafana . Especially the number of supported data sources, and plugins clearly makes Grafana a winner (in just visualization and reporting sense). Creating your own plugin is also very easy. The top pros of Grafana (which it does better than Kibana ) are:

  • Creating and organizing visualization panels
  • Templating the panels on dashboards for repetetive tasks
  • Realtime monitoring, filtering of charts based on conditions and variables
  • Export / Import in JSON format (that allows you to version and save your dashboard as part of git)
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Recommends
on
KibanaKibana

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

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Bram Verdonck
Recommends
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GrafanaGrafana
at

After looking for a way to monitor or at least get a better overview of our infrastructure, we found out that Grafana (which I previously only used in ELK stacks) has a plugin available to fully integrate with Amazon CloudWatch . Which makes it way better for our use-case than the offer of the different competitors (most of them are even paid). There is also a CloudFlare plugin available, the platform we use to serve our DNS requests. Although we are a big fan of https://smashing.github.io/ (previously dashing), for now we are starting with Grafana .

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Recommends
on
KibanaKibana

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.

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Recommends
on
KibanaKibana

Kibana should be sufficient in this architecture for decent analytics, if stronger metrics is needed then combine with Grafana. Datadog also offers nice overview but there's no need for it in this case unless you need more monitoring and alerting (and more technicalities).

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Recommends
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GrafanaGrafana

I use Grafana because it is without a doubt the best way to visualize metrics

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Povilas Brilius
PHP Web Developer at GroundIn Software · | 0 upvotes · 629K views
Recommends
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KibanaKibana
at

@Kibana, of course, because @Grafana looks like amateur sort of solution, crammed with query builder grouping aggregates, but in essence, as recommended by CERN - KIbana is the corporate (startup vectored) decision.

Furthermore, @Kibana comes with complexity adhering ELK stack, whereas @InfluxDB + @Grafana & co. recently have become sophisticated development conglomerate instead of advancing towards a understandable installation step by step inheritance.

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Decisions about Kibana and Netdata
Leonardo Henrique da Paixão
Junior QA Tester at SolarMarket · | 15 upvotes · 380.1K views

The objective of this work was to develop a system to monitor the materials of a production line using IoT technology. Currently, the process of monitoring and replacing parts depends on manual services. For this, load cells, microcontroller, Broker MQTT, Telegraf, InfluxDB, and Grafana were used. It was implemented in a workflow that had the function of collecting sensor data, storing it in a database, and visualizing it in the form of weight and quantity. With these developed solutions, he hopes to contribute to the logistics area, in the replacement and control of materials.

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Pros of Kibana
Pros of Netdata
  • 88
    Easy to setup
  • 65
    Free
  • 45
    Can search text
  • 21
    Has pie chart
  • 13
    X-axis is not restricted to timestamp
  • 9
    Easy queries and is a good way to view logs
  • 6
    Supports Plugins
  • 4
    Dev Tools
  • 3
    More "user-friendly"
  • 3
    Can build dashboards
  • 2
    Out-of-Box Dashboards/Analytics for Metrics/Heartbeat
  • 2
    Easy to drill-down
  • 1
    Up and running
  • 17
    Free
  • 14
    Easy setup
  • 12
    Graphs are interactive
  • 9
    Montiors datasbases
  • 9
    Well maintained on github
  • 8
    Monitors nginx, redis, logs
  • 4
    Can submit metrics to Time Series databases
  • 3
    Open source
  • 2
    Easy Alert Setop
  • 2
    Netdata is also a statsd server
  • 1
    Written in C
  • 1
    GPLv3
  • 0
    Zabbix

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Cons of Kibana
Cons of Netdata
  • 7
    Unintuituve
  • 4
    Works on top of elastic only
  • 4
    Elasticsearch is huge
  • 3
    Hardweight UI
    Be the first to leave a con

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    - No public GitHub repository available -

    What is 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.

    What is 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

    Need advice about which tool to choose?Ask the StackShare community!

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    Blog Posts

    May 21 2019 at 12:20AM

    Elastic

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    What are some alternatives to Kibana and Netdata?
    Datadog
    Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!
    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.
    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.
    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.
    Splunk
    It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
    See all alternatives