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Explain Grafana Vs Kibana

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Below are the differences between Kibana and Grafana.

ParametersGrafanaKibana
Logs vs. Metrics (Logging vs. Monitoring).Grafana's design is optimized for analyzing and visualizing system metrics including CPU, memory, disc, and I/O utilization. The platform does not allow for full-text data querying.On the other side, Kibana is an Elasticsearch-based log message analysis tool.
Data sources and integrationsGrafana is a graphical user interface for analyzing metrics. As a result, it has built-in connections to Graphite, Prometheus, InfluxDB, MySQL, PostgreSQL, and Elasticsearch, as well as plugins for additional data sources.Kibana, on the other hand, was designed just for Elasticsearch and does not support any other data sources.
Authentication and access controlGrafana has built-in user management and authentication options for restricting and controlling access to your dashboards, as well as the ability to leverage an external SQL or LDAP server.Your Kibana dashboards are open and accessible to the public by default unless you use the X-Pack or open-source alternatives like SearchGuard.
AlertsSince version 4. x, Grafana has had a built-in alerting engine that allows users to attach conditional rules to dashboard panels and receive triggered alerts to their preferred notification endpoint.

Kibana doesn't come with an alerting feature by default. To give alerting to Kibana, users can either use a hosted ELK Stack like Logz.io, implement ElastAlert, or use X-Pack.

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