Dropwizard Metrics vs Kibana

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Dropwizard Metrics

15
16
+ 1
0
Kibana

18.1K
14.3K
+ 1
257
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Dropwizard Metrics vs Kibana: What are the differences?

What is 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.

What is Kibana? 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.

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

Dropwizard Metrics and Kibana are both open source tools. Kibana with 12.6K GitHub stars and 4.89K forks on GitHub appears to be more popular than Dropwizard Metrics with 6.64K GitHub stars and 1.64K GitHub forks.

Airbnb, DigitalOcean, and 9GAG are some of the popular companies that use Kibana, whereas Dropwizard Metrics is used by Yammer, Auto Trader, and LeanIX. Kibana has a broader approval, being mentioned in 1196 company stacks & 2753 developers stacks; compared to Dropwizard Metrics, which is listed in 4 company stacks and 3 developer stacks.

Advice on Dropwizard Metrics and Kibana
Needs advice
on
GrafanaGrafana
and
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
GrafanaGrafana
at

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
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
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
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
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
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 · 463.6K views
Recommends
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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Pros of Dropwizard Metrics
Pros of Kibana
    Be the first to leave a pro
    • 88
      Easy to setup
    • 62
      Free
    • 45
      Can search text
    • 21
      Has pie chart
    • 13
      X-axis is not restricted to timestamp
    • 8
      Easy queries and is a good way to view logs
    • 6
      Supports Plugins
    • 3
      Dev Tools
    • 3
      More "user-friendly"
    • 3
      Can build dashboards
    • 2
      Easy to drill-down
    • 2
      Out-of-Box Dashboards/Analytics for Metrics/Heartbeat
    • 1
      Up and running

    Sign up to add or upvote prosMake informed product decisions

    Cons of Dropwizard Metrics
    Cons of Kibana
      Be the first to leave a con
      • 6
        Unintuituve
      • 4
        Elasticsearch is huge
      • 3
        Hardweight UI
      • 3
        Works on top of elastic only

      Sign up to add or upvote consMake informed product decisions

      No Stats

      What is Dropwizard 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.

      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.

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

      Jobs that mention Dropwizard Metrics and Kibana as a desired skillset
      CBRE
      United States of America Texas Richardson
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      United States of America Washington Redmond
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      United Kingdom of Great Britain and Northern Ireland England London
      CBRE
      United States of America Texas Dallas
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      United States of America Texas Dallas
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      United States of America Texas Dallas
      LaunchDarkly
      London, England, United Kingdom
      LaunchDarkly
      London, England, United Kingdom
      What companies use Dropwizard Metrics?
      What companies use Kibana?
      See which teams inside your own company are using Dropwizard Metrics or Kibana.
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      What tools integrate with Dropwizard Metrics?
      What tools integrate with Kibana?

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      Blog Posts

      May 21 2019 at 12:20AM

      Elastic

      ElasticsearchKibanaLogstash+4
      12
      4331
      GitHubPythonReact+42
      48
      40065
      GitHubPythonGit+22
      17
      13843
      GitHubMySQLSlack+44
      109
      50397
      What are some alternatives to Dropwizard Metrics and Kibana?
      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.
      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.
      Nagios
      Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.
      Zabbix
      Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.
      Graphite
      Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand
      See all alternatives