Grafana — and the Loki, Mimir, and Tempo stack around it — is one of the most loved, most flexible, most open ways to see your telemetry, and this comparison says so plainly. The difference is integration and investigation. Grafana gives you superb components to compose and operate yourself; 24Observe gives you the integrated platform where logs, metrics, traces, SIEM, and on-call already fit together, with an AI analyst that investigates every incident — and it is open source and self-hostable too.
Few tools are as genuinely loved as Grafana, and for good reason. Its dashboards are the standard the whole industry measures against, its ecosystem of data sources and plugins is enormous, and its open ethos has earned deep trust. An honest comparison starts by acknowledging that Grafana is excellent at what it does.
What Grafana is, though, is primarily a visualization and composition layer — and the full observability stack around it, with Loki for logs, Mimir for metrics, and Tempo for traces, is a set of powerful components you assemble and operate. That is a feature for teams who want to build exactly the stack they envision. It is also a real cost: you are responsible for standing the pieces up, wiring them together, scaling them, upgrading them, and maintaining the integration glue between them indefinitely. The flexibility and the assembly burden are the same coin.
And there is a layer the visualization stack does not, by itself, provide: the investigation. Grafana will show you the slow span and the error spike beautifully, but it will not gather the related evidence, trace the blast radius, and tell you the root cause — that is still your engineers, by hand, hopping between the panels. Add the security and incident-response pieces (detection, a SIEM, on-call) and you are assembling and operating even more. The result is powerful and yours, but it is a stack you run, not a product that runs for you.
24Observe makes the opposite trade. It is the integrated platform: logs, metrics, traces, uptime, on-call, status pages, and a real SIEM that already fit together, on one timeline and one query language, with the investigation built in — every incident worked by an AI analyst that returns a verdict with evidence. There is no correlation to wire up, no clock-skew between tools, and no separate security or on-call product to bolt on. And because it is open source and self-hostable with an identical contract, you keep the openness that draws people to Grafana while shedding the assembly job.
Neither approach is wrong. If composing and operating your own stack is something you want to do — for control, for flexibility, for the love of it — Grafana is a superb foundation and we mean that sincerely. If you would rather have the integrated whole and have the investigation done for you, that is the trade 24Observe offers, and the rest of this page is honest about both sides.
Grafana gives you brilliant components and the job of assembling them. 24Observe gives you the assembled platform and the investigation. The question is whether you want to build the stack or run the product.
The differences are less about any single panel and more about whether the pieces come together for you — and whether the platform does the analysis.
Logs, metrics, traces, uptime, on-call, status, and SIEM already fit together — one timeline, one query language, no glue to maintain.
Every incident worked by an AI analyst that returns a root-cause verdict with evidence — not panels you interpret by hand. The analyst →
87 detections and threat intel run over the same data, investigated — not a separate security stack to assemble. SIEM →
Rotations, escalation, and root-cause grouping are part of the platform, so one outage pages once. On-call →
One platform to run rather than several components to scale, upgrade, and keep talking to each other.
Open source and self-hostable with an identical contract — the openness of Grafana, without the assembly. Self-host →
For flexible, customisable visualization across a huge range of data sources, Grafana is the standard, and we are not going to pretend to match it panel for panel. If your priority is bespoke dashboards, mixing many heterogeneous sources into one view, or a specific plugin from its vast ecosystem, that is a real Grafana strength built on years of community work. 24Observe gives you the views that serve monitoring and investigation — search, live tail, charts, a topology health map — but it is not trying to be a general-purpose dashboarding canvas.
The flip side of the assembly burden is total control. With Grafana and its stack you can build precisely the architecture you envision, swap any component, and tune every layer — and for teams who want that, the flexibility is the point, not a cost. An integrated platform like 24Observe is, by design, more opinionated; if your requirement is maximum composability, that opinionation is a constraint, and we would rather say so than oversell.
Most teams, though, did not set out to run an observability stack — they set out to run reliable, secure software, and the stack is a means to that end. For them, the assembly and operation of components, and the by-hand investigation on top, are overhead they would happily trade away. Getting an integrated platform with investigation built in, while keeping openness and self-hosting, is a favourable trade precisely because it returns the time the assembly job consumes — time that was never the actual goal.
The deepest reason teams choose Grafana is often philosophical: open, inspectable, not locked in. 24Observe honours that — it is open source and self-hostable with an identical contract, so choosing the integrated platform does not mean surrendering the openness. You can read it, run it yourself, and leave if you ever want to. The trade is assembly-versus-integration, not open-versus-closed, and that is an important distinction to be honest about.
Choose Grafana and its stack if flexibility and visualization are your priority — if you want to compose exactly the architecture you envision, dashboard across many heterogeneous sources, and you have the team and the appetite to operate the components. Its openness, ecosystem, and dashboarding are best-in-class, and for teams who value building their own, it is an excellent and genuinely beloved choice. We are happy to say so.
Choose 24Observe if you would rather run a product than assemble a stack — if you want logs, metrics, traces, SIEM, and on-call already integrated, the investigation done for you by an analyst, and far less glue to maintain, while keeping the openness and self-hosting that matter to you. Teams who love what Grafana shows them but are weary of building and operating everything around it, and of investigating by hand, are exactly who 24Observe is for.
Because 24Observe speaks OpenTelemetry, you can point the telemetry you already send to Grafana at it too and compare the experiences directly — the assembled view you maintain versus the integrated one that investigates for you — without committing to either until you have seen both on your own data.
The migration question is gentler here than with most comparisons, precisely because Grafana's world is built on open standards. The OpenTelemetry your services already emit to your collector can fan out to 24Observe at the same time — a destination change, not a re-instrumentation — so you can run the integrated platform beside your assembled stack on identical, live data. There is no contrived bake-off; both see the same telemetry, and you judge the experiences side by side.
What you are really evaluating in that period is not "whose chart looks better" but "how much of my time went to assembly and manual investigation, and how much of it does the integrated platform give back." Watch how an incident feels: in the assembled stack you hop between panels and reconstruct the story; in 24Observe the incident arrives grouped and investigated. If the time saved and the toil removed are worth more to you than the dashboard flexibility you give up, you have your answer — and if they are not, you have lost nothing but kept a clearer view of the trade.
The honest caveat we will not dodge: for bespoke visualization across many heterogeneous sources, Grafana is better, and some teams genuinely need that. We are not trying to win those teams. We are trying to serve the larger group who assembled the stack because they had to, not because they wanted to — and who would happily trade some dashboard flexibility for an integrated platform that investigates for them, while keeping the openness and self-hosting that made them choose Grafana in the first place.
It is also worth being clear that this is not an either-or for the dashboards you love. Because 24Observe speaks OpenTelemetry and exports cleanly, nothing stops you from keeping a Grafana instance for the bespoke visualization it does best while letting 24Observe handle ingestion, detection, investigation, and on-call. The choice is not "give up your favourite dashboards"; it is "stop hand-assembling and operating the entire pipeline underneath them." For many teams that is the most comfortable path of all — keep the visualization layer you prize, and replace the toil of running the stack and investigating by hand with a platform that does both.
Point the telemetry you already send at 24Observe and compare an integrated, self-hostable platform that investigates for you against the stack you assemble and operate yourself.