how sixty compares
Find the change behind the symptom.
Keep the monitoring tools you already trust. Sixty connects a regression to the deploy and pull request that caused it, then hands the evidence to your coding agent.
works alongside what you already use
Keep your tools. Add the missing answer.
Sixty works on top of the monitoring stack you already have. Keep each tool for what it does well, then add the link from a symptom to the deploy, pull request and fix.
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.
Free for one developer; Team from $26 a month, and Seer from $40 per contributorProduct 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.
Free to 1M events, 5k replays and 100k exceptions a month, then usage with no base feePlatform-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.
$10 per project per month for Speed Insights; Observability Plus and Agent are usage-onlyFull-stack observability platformSixty 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.
$36 per host per month for APM on its own, or $31 with Infrastructure attached, billed annually and before ingestFull-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.
100 GB a month free, then $0.35 per GB and $99 per full userOpenTelemetry-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.
$0.20 per million metric data points; $0.60 per million spans, logs or web events; Agent0 usage extraOpen-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.
A large free tier, then usage — around $0.50 per GB of traces or logsChoose Sixty when
You ship a small number of applications and want the changed deploy, pull request, measurements and stack frames handed directly to your coding agent.
Choose something else when
You need infrastructure, logs, on-call paging, every server runtime, or the identity of the person who hit a problem. Sixty deliberately does none of those jobs.
The whole comparison, in one table
12 questions, including the rows we lose. Sixty cannot see your infrastructure. Its native agents cover Node, Python, Go, Ruby and PHP; an existing OpenTelemetry Collector can also send traces and metrics from other runtimes, with less signal fidelity than a native agent.
| What is being compared | Sixty | Sentry | PostHog | Vercel | Datadog | New Relic | Dash0 | Grafana Cloud |
|---|---|---|---|---|---|---|---|---|
| What you set upBefore it can tell you anything at all. | Nothing. One command, no dashboards, no thresholds | Little for errors. Sampling and alert rules for the rest | A snippet, then the insights, dashboards and alerts are yours to define | Nothing — a toggle, a component, and the Agent is opt-in | Dashboards, monitors, thresholds, SLOs | Dashboards and alert conditions, on top of curated views | Send OTEL data, then choose dashboards, checks, alerts and automations | Collectors, exporters, dashboards, alert rules — all of it |
| Time to the first findingInstall to a sentence that names a cause. | Your next deploy | Minutes for a crash. Longer for anything that does not throw | Minutes for a crash. Everything else is a question you have to think of | Minutes for page timings. The Agent starts when an anomaly alert fires | Hours to days — the install is quick, the configuration is not | Hours — installing is fast, deciding what is wrong is not | Live insights immediately; useful automation depends on the checks and context you configure | Days, and it is your dashboard that finds it |
| Compares one release to the lastAutomatically, without being asked a question. | Yes — every finding is one release against the one before | Yes — release health, and regression detection on transactions | No — you can break down by a release property if you send one | Partly — you can view timings per deployment | Yes, for latency and error rate, via deployment tracking | Yes, via change tracking and deployment markers | Release and commit context, but not Sixty’s automatic operation-by-operation baseline | Only if you build the comparison yourself |
| Rows per call, queries per renderThe shape of what your database work returns, not how long it took. | Yes, this is the core signal | Detects N+1 spans. Does not measure rows returned | No — your database is not in scope | No — the database is not in scope | Query timings, yes. Rows returned per call, no | Slow query traces, yes. A baseline for rows returned, no | What your spans and semantic attributes contain | Only what you instrument yourself |
| Page vitals per routeLargest paint, interaction response, layout shift. | Yes, broken down by country | Yes — Web Vitals per route, plus session replay | Yes — web vitals, plus session replay | Yes — Speed Insights is the strongest part of it | Yes, as RUM — a separate product with its own price | Yes — browser monitoring, billed as ingest | Yes — website monitoring and web events | Yes — frontend observability, which you configure |
| Failures that report successEmpty results, refused requests, buttons wired to nothing. | Yes — this is most of what it finds | Partly. A 401 or an empty result is not an event unless you make it one | Only if you send an event for it yourself | No — an anomaly alert needs something anomalous in the logs first | Only what you write a monitor for | Only what you write an alert condition for | Agent0 can investigate degradation; coverage follows the telemetry and checks you send | Only what you instrument and then alert on |
| 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 | Suspect commits, from git blame on the stack trace — for errors | No — it has no connection to your repository | It knows the deployment and the commit. Not which change did it | Deployment tracking marks the release. Which change in it is yours to find | Change tracking marks the release, and links the deploy. Not the file | Yes — Agent0 can trace incidents to commits and draft pull requests | No — it has no idea what a repository is |
| 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 | Seer: a root cause and a proposed patch, in the editor or on the pull request. Built around something having thrown | PostHog AI answers questions about your data. Nothing repository-shaped | Vercel Agent: a root-cause summary from logs and metrics, and patches sandbox-validated on the PR | Answers to questions an agent thinks to ask. Nothing arrives unprompted | Answers to questions an agent thinks to ask. Nothing arrives unprompted | Agent0 root-cause analysis and generated fixes or pull requests, charged by action | Nothing. Dashboards are built for people to read |
| 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 | IP address by default, user IDs if you set them, replay if you enable it | Person profiles, IP, device, and session replay — this is the product | Speed Insights is anonymised; Web Analytics counts visitors | Session IDs, user IDs, and session replay if you enable RUM | Session IDs, and user attributes if you set them | Whatever attributes, logs, traces and web events you choose to send | Whatever you choose to send |
| Infrastructure, logs, containersHosts, pods, queues — the layer under the application. | No | No | No | Your Vercel functions only | Yes — this is the reason to buy it | Yes | Yes — infrastructure and Kubernetes are first-class | Yes — this is its home ground |
| 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 | Everything | Anything you deploy to Vercel | Everything | Everything | Everything instrumented through OpenTelemetry | Everything, through OpenTelemetry |
| Where the bill startsList price for a comparable product, read August 2026. | €14.99 a month, flat | Free, then $26 / month. Seer is $40 / contributor | Free to 100k exceptions, then usage | $10 / project / month, then usage | $36 / host / month | Free to 100 GB, then $0.35 / GB | Usage per telemetry signal, plus Agent0 credits and AI Coding Insights seats | Free tier, then usage |
Competitor prices are list prices for a comparable product, read from each vendor’s own pricing page in August 2026. Every one of them is linked on the page for that tool, because a price quoted without a source is a number you are being asked to take on trust from the party selling against it.
When Sixty is the wrong answer
There is a real shape of team this does not fit, and it is not a small one. If you recognise yourself here, one of the tools above is the better purchase and this page would rather you made it.
- You run servers, containers or Kubernetes. Sixty measures application work and has nothing to say about a node, a pod or a queue.
- You need native-agent depth for Java, .NET, Rust or Elixir. Their OpenTelemetry traces and metrics can be ingested through your collector, but they do not gain the automatic function spans and driver-specific query detail of a native agent.
- You are on SQLite, or on a database none of Postgres, MySQL and MongoDB. Query shape is read from the driver, so a driver nobody has instrumented reports nothing — and query shape is most of what this finds.
- You need logs. Search over log lines is a different product with a storage bill attached, and it is not planned here.
- You need to know who hit a bug. Nothing about your users is collected, so that question has no answer here and never will.
- You have on-call rotations and need paging, escalation and SLOs. Sixty produces a feed and a payload for your coding agent, not a rota.
What is left, once all of that is true
One or two applications — JavaScript, Python, Go, Ruby or PHP — with a database behind them, shipped by somebody who did not write most of the code and does not want to become an observability engineer to keep it working. For that reader, every tool on this page has the same shape of problem: it is a very good instrument panel, handed over with the flying left to you.
Sixty is the other trade. It watches one narrow thing — how the shape of your work changed across a deploy — and it already has an opinion about what that means, so there is nothing to configure and no threshold to guess at. Then it goes one step further than marking the release: a deploy is twelve pull requests, and the finding names the one that touched the file it runs in. That, with the numbers and the stack frames, is what reaches the coding agent you already have open — and it comes back as a diff.
€14.99 a month, flat, and seven days free before any card. The pricing page has the rest of it.