Question

Explain Grafana vs Prometheus

Answer 1

Below are the differences between Grafana and Prometheus

Parameters	Grafana	Prometheus
Metrics of performance.	The data is grouped and loaded in steps.	WAL replay is improved, and memory utilization is optimized.
Editing and Visualization of Data	Grafana includes a multitude of choices for showing time-series data as an open-source data visualization tool. It also provides users with other tools, such as plugins, to help them visualize their data.	Prometheus, on the other hand, must rely on console templates for visualization. It can graph data, but it has to rely on Grafana for full frameworks like queries and dashboards.
Memory	Grafana is nothing more than a data visualization tool. When it comes to data storage, it is hopeless.	Here, Prometheus has the upper hand. It excels in storing and organizing time-series data via important value labeling.
Alarms and Tracking	Grafana allows the user to set the time for alert rule evaluation. Users are told here if the triggered alert needs to be adjusted.	Prometheus' alarm system is split into two pieces. The alerting rules send messages to alert managers. The alerts are then controlled by alert managers, who may deliver notifications by email or through other channels.
Key Highlights	System of alerts Your data will be unified. Sharing a dashboard.	Provides data in a time-series format. PromQL is a flexible query language that enables users to pick data in real time. A multi-dimensional data model
Supported Data Sources	AWS CloudWatch, Graphite, Azure Monitor, ElasticSearch	Prometheus collects data metrics from monitored targets by scraping HTTP endpoints.