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jentry vs Grafana Cloud: an app-monitoring product vs an observability toolkit

Grafana Cloud and jentry both take your OpenTelemetry traces — the difference is what happens next. Grafana hands you world-class building blocks (Tempo for traces, Loki for logs, Mimir for metrics, dashboards to tie them together) and you assemble your observability. jentry hands you a finished application-monitoring product: waterfalls, error grouping, automatic N+1 issues and alerts that exist before you build anything.

jentry is a hosted error-tracking and APM platform — Sentry-SDK-compatible errors plus native OTLP traces, with span-tree waterfalls, automatic performance issues and flat pricing. Grafana Cloud is the hosted LGTM stack: Tempo (traces), Loki (logs), Mimir (Prometheus metrics) and the Grafana dashboarding layer, priced by usage with a generous free tier.

What they have in common

  • OpenTelemetry-native: both ingest OTLP from your SDKs or a Collector — instrumentation stays portable either way.
  • Both are honest escapes from per-host APM pricing.
  • Both have real free tiers you can actually run something on.

The real difference: product vs toolkit

Grafana's model is composability. Traces land in Tempo; to get value you connect them to dashboards, write TraceQL, wire exemplars to metrics, and build the panels your team will look at. Done well, it's extraordinarily powerful — and it's work that someone on your team owns forever.

jentry's model is opinionated app monitoring. Traces land and you already have: a per-route performance page (p50/p95/p99, Apdex, throughput), span-tree waterfalls with errored spans in red, automatic N+1-query / N+1-API / slow-query issues with span evidence, and error tracking with Sentry-style grouping next to it. Nobody builds dashboards to get Tuesday's answer to 'what broke and what's slow'.

jentry vs Grafana Cloud: comparison table

jentryGrafana Cloud
ModelFinished app-monitoring productComposable toolkit (Tempo/Loki/Mimir + dashboards)
Pricing shapeFlat: Free / $14 / $49 per monthUsage-based (GB of traces/logs, metric series, users) with free tier
OpenTelemetryNative OTLP/HTTP endpoint (protobuf + JSON)Native (Tempo/Alloy), first-class
Error trackingSentry-SDK compatible: grouping, source maps, suspect commits, replaysNot a product — errors live in logs/traces you query yourself
Automatic perf issuesN+1 queries, N+1 API calls, slow queries — detected for youNone — you build TraceQL queries/dashboards for patterns
Logs & infra metricsNot in jentryFirst-class (Loki, Mimir) — a genuine strength
Time to first insightMinutes after the env varAfter you've assembled dashboards/queries
Who it's forProduct teams that want answers out of the boxTeams with dashboard culture and platform ownership

Grafana's offerings and free-tier limits evolve quickly — treat their column as directional and check current docs. The structural difference (toolkit vs product) is stable.

When Grafana Cloud is the better choice

  • You're already a Prometheus/Grafana shop and dashboards are how your team thinks.
  • You need logs and infrastructure metrics as first-class citizens next to traces.
  • You have (or want) a platform owner who curates queries, dashboards and alerts as a product for other teams.
  • TraceQL-style ad-hoc trace analytics matters more to you than prebuilt APM views.

When jentry is the better choice

  • You want APM + error tracking that works before anyone builds a dashboard.
  • Errors deserve a real workflow (grouping, assignment, releases, regressions), not a log query.
  • You'd rather have automatic N+1/slow-query issues than write the detection yourself.
  • You want a flat, forecastable bill.

They also compose

Plenty of teams keep Grafana for infra metrics + logs and send application traces + errors to jentry. From a Collector it's one more otlphttp exporter pointed at your jentry project — five lines of YAML, fully reversible.

Already OTel-instrumented for Tempo? Trying jentry is one env var: OTEL_EXPORTER_OTLP_TRACES_ENDPOINT=https://jentry.app/api/<projectId>/otlp/v1/traces with your project key header.

Frequently asked questions

Does jentry replace Grafana dashboards?

It replaces the APM/error slice: performance pages, waterfalls, issue tracking and alerts come prebuilt, and jentry has its own custom dashboards + Discover query builder for app data. It does not replace Grafana for infra metrics or log dashboards.

Is Tempo cheaper since it's usage-based with a free tier?

At small volumes Grafana Cloud's free tier is genuinely generous. As traffic grows you're metering GB of traces plus the metrics/logs around them, and someone maintains the dashboards. jentry stays $14/$49 flat with quotas that shed rather than bill — predictability is the point.

Can I send the same traces to both?

Yes — that's the beauty of OTel. A Collector can export to Tempo and jentry simultaneously while you evaluate; drop one exporter when you decide.

What about Grafana's error tracking?

Grafana doesn't have a Sentry-style error product; exceptions live in logs or trace attributes that you query. jentry ingests the unmodified Sentry SDKs — grouping, source maps, suspect commits, replays — alongside the OTel traces.

Self-hosted Grafana/Tempo vs jentry?

Self-hosting the LGTM stack trades money for ops (object storage, compaction, upgrades). If self-hosting is the requirement, Grafana or SigNoz fit; jentry's proposition is precisely not running any of it.

Try jentry free

Hosted error tracking & performance monitoring. Works with your Sentry SDKs — send your first event in minutes.

Grafana Cloud Alternative for APM — jentry (OTel, Flat Price)