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Kibana vs HostedMetrics: What are the differences?

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.

What is HostedMetrics? Hosted and managed open-source monitoring tools. Hosted and fully managed versions of the popular open-source monitoring tools Grafana, Prometheus, and InfluxDB, packaged as turnkey solutions for application, infrastructure, and IoT monitoring.

Kibana and HostedMetrics can be primarily classified as "Monitoring" tools.

Some of the features offered by Kibana are:

  • Flexible analytics and visualization platform
  • Real-time summary and charting of streaming data
  • Intuitive interface for a variety of users

On the other hand, HostedMetrics provides the following key features:

  • Instant Start
  • Collect and make use of metrics without the hassle of running, scaling, and maintaining a metrics platform
  • Reduces costs by offering sensibly pre-configured, productive, hosted and managed tools to collect and visualize the metrics that you need to understand your systems, processes, and code

Kibana is an open source tool with 13.3K GitHub stars and 5.21K GitHub forks. Here's a link to Kibana's open source repository on GitHub.

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What is HostedMetrics?

Hosted and fully managed versions of the popular open-source monitoring tools Grafana, Prometheus, and InfluxDB, packaged as turnkey solutions for application, infrastructure, and IoT monitoring.

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.
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Why do developers choose HostedMetrics?
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        What are some alternatives to HostedMetrics and Kibana?
        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.
        Graphite
        Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand
        Zabbix
        Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.
        See all alternatives
        Decisions about HostedMetrics and Kibana
        StackShare Editors
        StackShare Editors
        Kibana
        Kibana
        Grafana
        Grafana
        Elasticsearch
        Elasticsearch
        Logstash
        Logstash
        Graphite
        Graphite
        Icinga
        Icinga

        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
        Kibana
        Kibana
        Splunk
        Splunk
        Grafana
        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.

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        Kibana
        Kibana
        Grafana
        Grafana
        Elasticsearch
        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

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        Grafana
        Grafana
        Kibana
        Kibana

        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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        Interest over time
        Reviews of HostedMetrics and Kibana
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        How developers use HostedMetrics and Kibana
        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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