Broad compatibility with multiple data sources.Monitoring options also allow administrators to send alerts should metrics meet a configured threshold. With Grafana, analysts and administrators have access to several graphing options including heatmaps, bar graphs, and line graphs. This feature is essential in environments where the organization uses databases to store both structured and unstructured data and requires a solution that can support several log sources. The difference between them is Graphite can query a wide range of data storage including Elasticsearch, so users are not limited to Elasticsearch data sources. Similar to Elasticsearch, Graphite is the data source used to ensure performance when querying big data. It’s core foundation for querying data is based on its Graphite metrics. Grafana is a visualization tool used for monitoring and analysis. Limited to Elasticsearch, and changes in Elasticsearch versions after upgrading could create issues.Works well when the organization wants to query big data such as geographic locations and distances.Does not require many customizations to work with out-of-the-box reports.Integration with Elasticsearch means high-performance queries. The software dashboards are useful for visualizing large data sets between environments and filtering results based on a timeframe. With Kibana, you have several reporting features to identify issues and monitor the health of the environment. Because Elasticsearch is generally used in environments to replace large databases where traditional SQL queries are not efficient, Kibana visualization tools are typically found in environments where search performance is critical. Elasticsearch is a high-performance search and analytics engine used to run queries on large databases with complex machine data such as geospatial and unstructured data. Kibana is an open-source tool used to visualize Elasticsearch data.
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