Azure Monitor
Observability Plane · Pipeline & Infrastructure Monitoring
Azure service for collecting and analysing telemetry from cloud and on-premises environments.
- Cloud service
Observability Plane · Pipeline & Infrastructure Monitoring
Open-source dashboards for metrics, logs and traces, with a managed cloud offering.
Grafana is a visualisation and dashboarding layer that queries data where it already lives. It stores no telemetry itself, which is the whole point: it reads Prometheus, Azure Monitor, Datadog and dozens of others side by side.
Grafana Labs separately publishes a backend stack you can adopt or ignore, covering metrics, logs, traces, profiles, a collector and load testing.
The licence changed and older descriptions are wrong. Grafana moved from Apache 2.0 to AGPLv3 in April 2021, verified in the licence file, with specific front-end packages remaining Apache 2.0.
It matters which project you mean, because the stack is not uniform: the visualisation tool, logs, metrics, traces, profiles and load testing are all AGPLv3, while the collector is Apache 2.0.
Grafana Labs chose AGPLv3 deliberately over the source-available licences its peers adopted, on the grounds that it remains an approved open-source licence.
Commercially it layers three ways: Enterprise for self-managed deployments, Cloud as a hosted service, and an advanced tier adding bring-your-own-cloud and a federal offering.
The Enterprise pitch is telling. It includes more than fifty premium data sources, explicitly naming Datadog, Splunk, Snowflake and New Relic, so Grafana is designed to sit on top of its own nominal competitors.
Its free cloud tier is unusually generous and worth knowing about: ten thousand active metric series, fifty gigabytes each of logs, traces and profiles, three users and fourteen days of retention, permanently.
One product change to note: the open-source on-call tool entered maintenance mode in 2025 and was archived in March 2026, replaced by a cloud incident response product. The licence did not change, the product decision did.
The current direction is AI, with an assistant now generally available, investigations in preview and a knowledge graph for correlating entities, metered per AI user and per million tokens.
The same headings are used for every pipeline & infrastructure monitoring entry, so two tools can be read side by side.
Open sourceFree and AGPLv3; Cloud from $19 a month
Self-hosting is free under AGPLv3. Cloud has a permanent free tier of 10,000 active series, 50 GB each of logs, traces and profiles, three users and fourteen days of retention. Pro starts at a $19 monthly platform fee plus usage: metrics from $6.50 per thousand series, logs at $0.05, $0.40 and $0.10 a gigabyte across processing, writing and retaining, users at $8 each and the AI assistant at $20 per AI user. The advanced tier starts at a $25,000 annual commitment. Self-managed Enterprise is quote-only.
Grafana was created by Torkel Ödegaard in December 2013, and Grafana Labs was co-founded by Ödegaard with Raj Dutt, its chief executive, and Anthony Wood; it publishes neither a headquarters nor a headcount. It is private and well-funded, raising $220m in 2021, a $240m Series D in April 2022 led by GIC with J.P. Morgan joining alongside Sequoia, Coatue and Lightspeed, and a $270m transaction in 2024. It reports more than $400m in annual recurring revenue, over 7,000 customers and 70% of the Fortune 50. Grafana is AGPLv3; Enterprise is under a separate commercial licence.
Founded 2013 · grafana.com
Observability Plane · Pipeline & Infrastructure Monitoring
Azure service for collecting and analysing telemetry from cloud and on-premises environments.
Observability Plane · Pipeline & Infrastructure Monitoring
Monitoring and observability SaaS for infrastructure, applications, logs and data pipelines.
Observability Plane · Pipeline & Infrastructure Monitoring
Vendor-neutral standard and tooling for collecting traces, metrics and logs.
Observability Plane · Pipeline & Infrastructure Monitoring
Open-source monitoring system and time-series database, a CNCF project.
Drafted with AI assistance and checked against the vendor’s own documentation.