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Kibana
Kibana

4.5K
3K
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NetData
NetData

77
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+ 1
37
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Kibana vs NetData: What are the differences?

Developers describe Kibana as "Explore & Visualize Your Data". 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. On the other hand, NetData is detailed as "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.

Kibana and NetData can be categorized as "Monitoring" tools.

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

Kibana and NetData are both open source tools. It seems that NetData with 39K GitHub stars and 3.44K forks on GitHub has more adoption than Kibana with 12.2K GitHub stars and 4.72K GitHub forks.

According to the StackShare community, Kibana has a broader approval, being mentioned in 889 company stacks & 453 developers stacks; compared to NetData, which is listed in 7 company stacks and 11 developer stacks.

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 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.
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    What are some alternatives to Kibana and NetData?
    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
    The world's most popular cloud-based log management service delivers application intelligence.
    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
    Splunk Inc. provides the leading platform for Operational Intelligence. Customers use Splunk to search, monitor, analyze and visualize machine data.
    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.
    See all alternatives
    Decisions about Kibana and NetData
    StackShare Editors
    StackShare Editors
    Icinga
    Icinga
    Graphite
    Graphite
    Logstash
    Logstash
    Elasticsearch
    Elasticsearch
    Grafana
    Grafana
    Kibana
    Kibana

    One size definitely doesn鈥檛 fit all when it comes to open source monitoring solutions, and executing generally understood best practices in the context of unique distributed systems presents all sorts of problems. Megan Anctil, a senior engineer on the Technical Operations team at Slack gave a talk at an O鈥橰eilly Velocity Conference sharing pain points and lessons learned at wrangling known technologies such as Icinga, Graphite, Grafana, and the Elastic Stack to best fit the company鈥檚 use cases.

    At the time, Slack used a few well-known monitoring tools since it鈥檚 Technical Operations team wasn鈥檛 large enough to build an in-house solution for all of these. Nor did the team think it鈥檚 sustainable to throw money at the problem, given the volume of information processed and the not-insignificant price and rigidity of many vendor solutions. With thousands of servers across multiple regions and millions of metrics and documents being processed and indexed per second, the team had to figure out how to scale these technologies to fit Slack鈥檚 needs.

    On the backend, they experimented with multiple clusters in both Graphite and ELK, distributed Icinga nodes, and more. At the same time, they鈥檝e tried to build usability into Grafana that reflects the team鈥檚 mental models of the system and have found ways to make alerts from Icinga more insightful and actionable.

    See more
    Grafana
    Grafana
    Splunk
    Splunk
    Kibana
    Kibana

    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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    Elasticsearch
    Elasticsearch
    Grafana
    Grafana
    Kibana
    Kibana

    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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    Kibana
    Kibana
    Grafana
    Grafana

    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)
    See more
    Interest over time
    Reviews of Kibana and NetData
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    How developers use Kibana and NetData
    Avatar of Clarabridge Engage
    Clarabridge Engage uses KibanaKibana

    Used for graphing internal logging data; including metrics related to how fast we serve pages and execute MySQL/ElasticSearch queries.

    Avatar of Wirkn Inc.
    Wirkn Inc. uses KibanaKibana

    Our Kibana instances uses our ElasticSearch search data to help answer any complicated questions we have about our data.

    Avatar of Hevelop
    Hevelop uses KibanaKibana

    Kibana is our tools to query data in Elasticsearch clusters set up as catalog search engine.

    Avatar of Diogo Silva
    Diogo Silva uses KibanaKibana

    Perfect for exploring and visualizing the data available at ElasticSearch

    Avatar of Tongliang Liu
    Tongliang Liu uses KibanaKibana

    Log visualization. Wish it could add built-in alert functionality.

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    How much does NetData cost?
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