Grafana vs Kibana vs Graphite: What are the differences?
When Graphite was released in 2006, it was the most flexible monitoring tool available, with the best and most user-friendly UI. It’s still considered by many to be the standard format for metrics-gatherers, and continues to be used as a data backend and storage tool. While Graphite also has its own data visualization capability, Graphite-web, this is where newer tools have often overtaken Graphite. Many developers use Graphite on the backend and then integrate it with another tool for frontend visualization. Grafana and Kibana are two such tools, used mainly to visualize and display data. Grafana can be used alongside Graphite (frontend visualization of Graphite’s data backend). Kibana also creates visual dashboards, but it supports only Elasticsearch (not Graphite) as a data backend.
What is Grafana?
What is Graphite?
Want advice about which of these to choose?Ask the StackShare community!
Why do developers choose Kibana vs Grafana vs Graphite?
- Grafana is a general purpose dashboard tool that integrates with many data sources, including Graphite, InfluxDB, and OpenTSDB. Fans of Grafana call it beautiful and easy to use, and love its many integrations.
- Kibana is loved by fans of Elasticsearch; as part of the Elastic Stack it integrates seamlessly with other Elastic products. Fans also cite its ease of setup, pie chart capability, and user-friendliness as pros.
- Fans of Graphite appreciate its storage functions, integrations (including Grafana), and ability to render any graph.
analyze heap dump and many logging or traces
We use Grafana to view live stats relating to our servers such as memory and CPU usage. We also use Grafana to monitor our gaming servers for data such as latency and player counts. This allows us to generate effective analytics and see when problems arise.
Everyone likes graphs, right?! This isn't a tool we actively use right now, but paired with Prometheus we want to use it to have visual monitors on things like API cluster health, status, queue stats, DB/redis query and cache stats etc.
Grafana is used in combination with Prometheus to display the gathered stats and to monitor our physical servers aswell as their virtual applications. We also use Grafana to get notifications about irregularities.
Grafana takes the data from InfluxDB and presents it in a nice flexible format. Bonus points for built-in alerts and playlists (cycles through different dashboards automatically)
- Graph report with many panels and Dashboard.
- Easy to deploy, and view performance of system.
- Intergrating with many datasource: Prometheus, CloudWatch
Utilizando computação em nuvens e o modelo de pagar pelo uso com _graphite _nós conseguimos analisar todos os logs de informação gerada pelo sistema.
Used for graphing internal logging data; including metrics related to how fast we serve pages and execute MySQL/ElasticSearch queries.
Our Kibana instances uses our ElasticSearch search data to help answer any complicated questions we have about our data.
Kibana is our tools to query data in Elasticsearch clusters set up as catalog search engine.