how sixty compares — Full-stack observability platform
Sixty vs Datadog
Everything, for everyone, billed per host. Unbeatable if you run infrastructure; a lot of product to carry if you run one app on Vercel.
What Datadog is good at
Datadog is the most complete monitoring product that exists, and the completeness is the point. Hosts, containers, queues, databases, logs, traces, synthetics, security signals and about eight hundred integrations all land in one place with one query language over them — so the question "is it the app, the database, or the node it moved to" has an answer you can reach without opening a second tool.
If you run infrastructure, nothing here competes with that and this page is not going to pretend otherwise. The alert routing is mature, the on-call story is real, and somebody on your team has already used it at a previous job.
Datadog costs $36 per host per month for APM on its own, or $31 with Infrastructure attached, billed annually and before ingest, as published on their pricing page in August 2026. Sixty is €14.99 a month, flat.
What Sixty does differently
The cost of that completeness is that Datadog arrives empty. It is a platform, and a platform is a set of capabilities waiting for somebody to decide what matters — which dashboards to build, which monitors to write, what counts as too slow. That work is a job, and at a company it is somebody's job. If you built your app with an agent last month, it is not yours, and the usual outcome is a Datadog account with the default dashboards, no monitors, and a bill.
The second thing is the bill's shape. Per host is the right meter for a fleet and a strange one for an app that runs on serverless functions, and the ingest line underneath it is the part that surprises people — it scales with how chatty your app is, which is not a number you knew before you agreed to it.
Sixty is the opposite trade in every direction. It measures one narrow thing — how the shape of your work changed across a deploy — and it has an opinion about what that means, so there is nothing to configure and nothing to tune. It cannot tell you a node ran out of memory. It can tell you that yesterday's deploy turned one query per render into fourteen, and hand that to the agent that wrote the render.
Side by side
The same 12 questions the full comparison asks of every tool, with the two rows Sixty loses left in.
| What is being compared | Sixty | Datadog |
|---|---|---|
| What you set upBefore it can tell you anything at all. | Nothing. One command, no dashboards, no thresholds | Dashboards, monitors, thresholds, SLOs |
| Time to the first findingInstall to a sentence that names a cause. | Your next deploy | Hours to days — the install is quick, the configuration is not |
| Compares one release to the lastAutomatically, without being asked a question. | Yes — every finding is one release against the one before | Yes, for latency and error rate, via deployment tracking |
| Rows per call, queries per renderThe shape of what your database work returns, not how long it took. | Yes, this is the core signal | Query timings, yes. Rows returned per call, no |
| Page vitals per routeLargest paint, interaction response, layout shift. | Yes, broken down by country | Yes, as RUM — a separate product with its own price |
| Failures that report successEmpty results, refused requests, buttons wired to nothing. | Yes — this is most of what it finds | Only what you write a monitor for |
| Names the change that caused itThe pull request in that deploy, not just the deploy. | Yes — the pull request in that deploy that touched the file the finding runs in | Deployment tracking marks the release. Which change in it is yours to find |
| What your coding agent is handedThey all have an MCP server now. This row is what comes through it. | The before and after of the shape, the release that changed it, and the stack frames — unprompted, over MCP | Answers to questions an agent thinks to ask. Nothing arrives unprompted |
| Data collected about your usersWhat ends up on somebody else’s server because you installed it. | None. No IDs, no cookies, no URLs. Session replay is off by default; switched on, every word is masked in the browser before it is sent | Session IDs, user IDs, and session replay if you enable RUM |
| Infrastructure, logs, containersHosts, pods, queues — the layer under the application. | No | Yes — this is the reason to buy it |
| Runtimes it measuresServer-side. Browser coverage is separate and mostly universal. | Node, Python, Go, Ruby and PHP, on Postgres, MySQL or MongoDB. Existing OpenTelemetry collectors add traces and metrics from any OTEL runtime; native agents remain higher fidelity. Any front end, any backend language | Everything |
| Where the bill startsList price for a comparable product, read August 2026. | €14.99 a month, flat | $36 / host / month |
Which one to pick
Pick Datadog when
- You run servers, containers or a Kubernetes cluster and need to see under the application.
- You need logs, traces and metrics correlated in one query language.
- You have on-call rotations, SLOs, and somebody whose job includes owning the monitoring.
- Your services are in Java, .NET, Rust or Elixir, none of which have an agent here.
Pick Sixty when
- You ship one or two apps and nobody there wants to build dashboards.
- You want the answer to be a sentence, not a graph you have to interpret.
- A predictable €14.99 matters more to you than breadth you will not use.
- You would rather your coding agent fixed it than be paged about it.
These are not mutually exclusive and the honest answer is often both. Nothing here refuses to run alongside Datadog, and a lot of people keep it.
Questions people actually ask
Is Sixty cheaper than Datadog?
For a small app, by a lot — €14.99 a month flat against $36 per host per month before ingest. That comparison stops being meaningful above a handful of services, and it was never the argument: the difference that matters is that Datadog bills for a platform you have to configure and Sixty bills for a product that has already decided what to look at.
Can Sixty replace Datadog?
Not if you use Datadog for infrastructure, logs or anything below the application. It replaces the part of Datadog that most small teams actually opened it for — noticing that a deploy made something worse — and it does that part without being configured first.
Does Datadog detect N+1 queries?
The traces contain the evidence, and APM will show you a span waterfall with fourteen queries in it once you are looking at the right trace. What it does not do on its own is tell you that this endpoint used to make one — the comparison against the previous release is the part you would be doing by eye.
The other comparisons
Sixty vs Sentry
Best-in-class for the crash you can see. The gap is the failure that never throws — and what it stores about the person who hit it.
Product analytics, with error trackingSixty vs PostHog
Probably already in your app, and probably costing you nothing. It watches the funnel and the crash — not the query underneath either of them.
Platform-native monitoringSixty vs Vercel
Real page timings with one checkbox, and an agent that investigates your logs when something spikes. It stops where your database starts.
Full-stack observability platformSixty vs New Relic
The same breadth as Datadog on a friendlier meter, with a genuinely large free tier — and the same afternoon of setup before it says anything.
OpenTelemetry-native observability and AI SRESixty vs Dash0
A complete OTEL-native home for traces, metrics, logs and infrastructure, with Agent0 investigating and fixing incidents. Sixty is the narrower release detector.
Open-source stack, hostedSixty vs Grafana Cloud
The most flexible and the most work. Prometheus, Loki, Tempo and OpenTelemetry, hosted for you — and still a project rather than a product.