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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.
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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 .

Discussions

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
🌐 r/grafana
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November 8, 2021
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
🌐 r/devops
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September 25, 2024
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
🌐 r/selfhosted
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January 21, 2023
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
🌐 r/devops
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August 28, 2024
People also ask

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.
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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.
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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
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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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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.
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GeeksforGeeks
geeksforgeeks.org › devops › prometheus-vs-grafana
Prometheus vs Grafana: Top Differences - GeeksforGeeks
July 23, 2025 - Moreover, Prometheus boasts an elaborate system of defining alerting rules that help an organization detect any anomalies before they occur. On the other hand, Grafana is synonymous with visualization genius, known for converting raw data into ...
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Middleware
middleware.io › blog › prometheus-vs-grafana
Prometheus vs Grafana: They're Not Competitors You Need to know
Prometheus acts as a smart sensor network, collecting real-time metrics such as CPU usage, memory utilization, and network performance across your infrastructure. Grafana, on the other hand, transforms these metrics into interactive, visual ...
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Tech Insider
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]
June 25, 2026 - The table reveals the fundamental truth about this comparison: Prometheus and Grafana are not direct competitors. Prometheus is a metrics backend – it scrapes, stores, and queries time-series data.
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Sumo Logic
sumologic.com › home › monitoring with prometheus vs grafana: understanding the difference
Monitoring with prometheus vs grafana: understanding the difference
June 17, 2025 - Prometheus primarily focuses on metrics; not log data. It is great at exposing standard and custom metrics from an application it is monitoring. When it is deployed in a Kubernetes cluster it can discover any pod that is running and persist ...
Find elsewhere
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Sawmills
sawmills.ai › blog › grafana-vs-prometheus
Grafana vs. Prometheus: Comparison and Differences
August 23, 2024 - Prometheus is a monitoring system designed to collect, store, and query metrics from applications and infrastructure. Its main ability lies in alerting and handling large amounts of data, making it an invaluable tool for monitoring and alerting.
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SigNoz
signoz.io › comparisons › prometheus vs grafana - which tool is right for you?
Prometheus vs Grafana 2026: Key Differences | SigNoz
June 23, 2026 - Prometheus: Best for collecting metrics like resource usage and providing a cost-effective monitoring solution, especially for smaller teams or projects. Grafana: Ideal for visualization, offering a highly customizable dashboarding experience ...
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Opensourcealternatives
opensourcealternatives.to › home › blog › prometheus vs grafana: which one do you actually need (and do you need both)?
Prometheus vs Grafana: Which One Do You Actually Need ...
August 12, 2026 - TL;DR: Run Prometheus if you need to collect system or application metrics. Add Grafana on top when you need dashboards beyond Prometheus's built-in expression browser. For most teams going into production, you want both.
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GeeksforGeeks
geeksforgeeks.org › devops › what-is-prometheus-and-grafana
What is Prometheus and Grafana? - GeeksforGeeks
July 23, 2025 - This makes it easy to see what is happening in your system. When used together, Prometheus handles data collection and storage, while Grafana provides powerful visualization and monitoring dashboards.
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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.
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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.
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OpsRamp
opsramp.com › guides › prometheus-monitoring › prometheus-vs-grafana
Enterprise IT Glossary | HPE | HPE
Explore HPE's enterprise IT glossary for clear definitions of key technology terms across AI, hybrid cloud, compute, networking, storage, security, and more.
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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.
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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.
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Atatus
atatus.com › blog › comparison-prometheus-vs-grafana
Prometheus vs Grafana - A Comparative Guide to Key Differences
October 3, 2024 - It connects seamlessly with various ... monitoring tools. Unlike Prometheus, which actively scrapes and collects data, Grafana fetches data from these integrated sources to create visualizations and dashboards....
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Cloudzy
cloudzy.com › home › blog › developer tools & devops › prometheus vs grafana: unveiling the titans of monitoring tools
Prometheus vs Grafana: Unveiling the Titans of Monitoring Tools · Cloudzy Blog
November 10, 2025 - Prometheus is known for its robust monitoring and alerting and plays a crucial role in tracking real-time metrics. On the other hand, Grafana has powerful visualization tools that can turn complex data into understandable, eye-catching graphics.
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CubeAPM
cubeapm.com › home › comparison › prometheus vs grafana: key differences, use cases, and how teams choose at scale
Prometheus vs Grafana: Key Differences, Use Cases, and How Teams Choose at Scale - CubeAPM
February 4, 2026 - The main difference between Prometheus and Grafana is that Prometheus is a metrics collection and alerting system, while Grafana is a visualization and analytics layer that sits on top of data sources like Prometheus.
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Ksolves
ksolves.com › blog › big-data › prometheus-vs-grafana
Prometheus vs. Grafana: Navigating IT Monitoring Excellence
August 21, 2025 - Prometheus not only gathers metrics but also organizes them for analysis and visualization. It stores this data in its time series database, optimized for quick and efficient historical data retrieval.