Dash0
dash0.com › home › comparisons › prometheus vs grafana: they're not competitors
Prometheus vs Grafana: They're Not Competitors · Dash0
August 13, 2026 - Prometheus and Grafana aren't competitors. Here's what the combined architecture looks like at scale, where it hits limits, and what comes after.
Reddit
reddit.com › r/devops › what's the difference between prometheus and grafana? can someone please eli5.
r/devops on Reddit: what's the difference between Prometheus and grafana? Can someone please ELI5.
November 19, 2019 -
Let's say that I have to monitor CPU utilization and create alert lifestyle based upon some thersold values , or reading some DB to get live time metrices of an app and create alerts .
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Prometheus gets and stores the metrics. Grafana prints out nice looking graphs from metrics provided by prometheus.
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Promethe,us gather metrics from exporters that must be running on the monitored hosts, stores them in it's own time series database, can display graphs of those series and trigger alerts. You can see it as a monitoring solution. Grafana is a dashboard builder/display a lot of graphs for a lot of databases (including Prometheus one) and optionally send simple alerts too. It is fundamentally a visualization solution, it doesn't gather the metrics/feeds whatever db, not can generate complex alerts. But you can couple it with a lot of DBs (other time series databases, elasticsearch, MySQL and more) not just Prometheus
Can someone ELI5 prometheus vs loki vs grafana vs influx?
Prometheus stores numbers and Loki stores log files. Influxdb can store both but because of how influx is designed it isnt great at storing logs and the grafana ux for influxdb2 isn't great. So for metrics you can use Prometheus or Victoriametrics and Loki for logs. I personally use Victoriametrics and Loki. Victoriametrics can receive metrics using the tegraf plugin with the influxdbv1 output and you can setup promtail or telegraf to receive syslog on a remote server. Victoriametrics can also be used to scrape a Prometheus exporter but I like the push model and only having to learn one agent. I'm working on an ansible role that will stand up Victoriametrics Loki and grafana with data sources and dashboards setup but I need to update the docs Https://gitlab.com/shiftsystems/shift-rmm More on reddit.com
Can prometheus support pretty much everything what Grafana does?
No, and you are comparing apples with oranges. Grafana is the visualization plugin for Prometheus. And works for a lot of more data sources than just Prometheus, so it makes no sense for Prometheus to have all the Grafana features. But there are more programs that let you visualize in different ways the time series database that Prometheus have. More on reddit.com
Grafana - InfluxDB vs Prometheus, I can’t see clearly now…
Look at something like Victoria Metrics. It gives you endpoints for Prometheus, InfluxDB and even Prometheus Pushgateway. It can also scrape your stuff in the same way Prometheus does - just way more efficient. More on reddit.com
Seeking Advice on Prometheus & Grafana: What Metrics Do You Use for Alerts?
Some best practices reading material: Monitoring Distributed Systems Practical Alerting RED Method Best Practices For example, CPU alerts are the opposite of best practices. Visualization Tips Use $__rate_interval and $__range appropriately. Learn and understand what they represent and how they work. More on reddit.com
What is the best alternative to both Prometheus and Grafana?
The main alternatives are commercial SaaS platforms like Datadog, New Relic, and Dynatrace, which bundle collection, storage, and visualization into a single paid product. Open-source alternatives include VictoriaMetrics (Prometheus-compatible with better compression), SigNoz (OpenTelemetry-native), and the ELK stack (Elasticsearch, Logstash, Kibana) for log-centric monitoring. Each has trade-offs between cost, operational complexity, and feature completeness.
tech-insider.org
tech-insider.org › home › cloud computing › prometheus vs grafana 2026: 100+ data sources and a 4 kb per series memory gap [tested]
Prometheus vs Grafana 2026: 100+ Data Sources Gap [Tested]
What is the difference between Grafana and Prometheus and Kibana?
Prometheus functions as a monitoring database that processes metrics in real time using its time-series data model. Grafana functions as an interactive dashboard creator for data analysis, connecting to Prometheus and other data sources. Kibana primarily operates to find and analyze log data stored in Elasticsearch for log management and observability.
middleware.io
middleware.io › blog › prometheus-vs-grafana
Prometheus vs Grafana: They're Not Competitors You Need to know
Should I use Prometheus or Grafana for alerting?
Both tools support alerting, and many teams use both. Prometheus AlertManager excels at file-based, GitOps-driven alerting that is tightly coupled to PromQL metrics. Grafana unified alerting is better for teams that prefer UI-driven alert management and need to alert on multiple data sources (not just Prometheus). For critical infrastructure alerts, Prometheus AlertManager is often preferred for its reliability and simplicity. For application-level alerts that correlate multiple data sources, Gr
tech-insider.org
tech-insider.org › home › cloud computing › prometheus vs grafana 2026: 100+ data sources and a 4 kb per series memory gap [tested]
Prometheus vs Grafana 2026: 100+ Data Sources Gap [Tested]
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DataDog vs Prometheus vs Grafana – The Honest Breakdown - YouTube
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Monitoring Made EASY with Grafana and Prometheus! - YouTube
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Better Stack
betterstack.com › community › comparisons › prometheus-vs-grafana
Prometheus vs Grafana: The Key Differences to Know | Better Stack Community
January 23, 2026 - PromQL follows the same syntax rules as Go, so if you are familiar with the language, you should be able to learn PromQL rather quickly. A metrics explorer is also available in Prometheus in case you need help finding the PromQL expressions you need. On the other hand, Grafana requires the user to set up an external data source, such as Prometheus, before it can visualize such data.
Parseable
parseable.com › home › blog › grafana vs prometheus: key differences and best use cases
Grafana vs Prometheus: Key Differences and Best Use Cases
May 28, 2026 - In a typical monitoring setup, Prometheus collects time-series metrics from applications, infrastructure, Kubernetes clusters, and exporters. Grafana then connects to Prometheus as a data source and turns those metrics into dashboards that engineering, DevOps, platform, and SRE teams can use during day-to-day monitoring and incident response.
Repo Notes
reponotes.com › home › prometheus vs grafana: a detailed comparison for monitoring solutions
Prometheus vs Grafana: A Detailed Comparison for Monitoring Solutions - DevOps Tutorials, Guides & Best Practices
June 17, 2026 - As of 2026, Prometheus is used in production by 67% of organizations, with an additional 19% exploring it through proofs of concept, according to Grafana Labs’ Observability Survey Report 2026. This widespread adoption underscores its reputation as a reliable and scalable monitoring backend.
Last9
last9.io › blog › prometheus-and-grafana
Prometheus vs Grafana: Key Differences and When to Use Each | Last9
June 12, 2026 - Built for modern cloud-native environments, Prometheus supports various deployment models. It uses PromQL, a powerful query language, and offers alerting features, allowing you to stay proactive in monitoring your system’s performance. Grafana is an open-source data visualization tool that lets you display data on customizable dashboards using graphs, charts, and tables.
Uptrace
uptrace.dev › comparisons › grafana-vs-prometheus
Grafana vs Prometheus [Detailed Technical Comparison for 2025] | Uptrace
January 19, 2025 - Grafana is the clear winner in visualization capabilities, offering more flexibility and aesthetically pleasing results. Prometheus is primarily focused on metrics and doesn't handle log management natively.