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jentry vs Datadog: focused APM at a flat price vs the everything platform
Nobody 'replaces Datadog' feature-for-feature — that's a platform with dozens of products, and it's genuinely good. The honest comparison is about fit: if what your team actually uses is APM + error tracking — what broke, what's slow, which release did it — jentry delivers that slice OTel-natively at a flat $14–$49/month, instead of a usage bill assembled from per-host, per-GB, per-span and per-seat line items.
jentry is a hosted error-tracking and APM platform: Sentry-SDK-compatible error ingestion, native OTLP traces, span-tree waterfalls, automatic N+1/slow-query detection, releases, alerts, crons, uptime, replays. Datadog is a full observability and security platform: infrastructure monitoring, logs, APM, RUM, synthetics, SIEM, and much more — priced per product, mostly by usage.
The pricing shapes could not be more different
Datadog pricing is a sum of SKUs: infrastructure per host, APM per host (plus indexed spans per million), logs per GB ingested and per GB indexed, RUM per thousand sessions, synthetics per test run. Each is defensible; together they produce the famous end-of-month surprise — a traffic spike, a chatty deploy, or one debug log level left on can move the bill materially. Datadog's own customers build internal tooling just to watch Datadog spend.
jentry has two paid numbers: $14 (Team) and $49 (Business), flat, with quotas that shed excess instead of billing it. A noisy release costs you dropped events, never money. You can forecast a year of jentry on a napkin.
jentry vs Datadog: comparison table
| jentry | Datadog | |
|---|---|---|
| Scope | APM + error tracking (plus replays, crons, uptime, dashboards) | Full observability + security platform (30+ products) |
| Pricing shape | Flat: Free / $14 / $49 per month | Usage-based per product: per host, per GB, per million spans, per seat |
| Bill predictability | Fixed — spikes shed events, not dollars | Variable — spikes and log volume move the bill |
| OpenTelemetry | Native OTLP/HTTP endpoint (protobuf + JSON), no agent | Supported via Datadog Agent/OTLP ingestion (agent-centric model) |
| Error tracking | Sentry-SDK compatible: grouping, source maps, suspect commits, replays | Error Tracking product tied into APM/logs/RUM |
| Infra monitoring & logs | Not a product in jentry | Industry-leading breadth |
| Setup | Env var + key, ~2 minutes, no agent | Agent install + per-product configuration |
| Who it's for | Product teams that need app health | Platform/SRE orgs consolidating all telemetry |
Datadog details change often and vary by contract — treat their column as directional and check current pricing pages. The point isn't that Datadog is overpriced; it's that you may be paying platform prices for an APM-sized problem.
When Datadog is the better choice
- You need infrastructure monitoring, log management, security monitoring or synthetics as first-class products.
- You're consolidating many teams onto one observability platform with SSO/RBAC/compliance requirements.
- You have the budget discipline (or FinOps tooling) to manage usage-based spend and you value the ecosystem's depth.
- You rely on Datadog-specific features: Watchdog anomaly detection at platform scale, APM-log correlation across petabytes, etc.
When jentry is the better choice
- What you actually open Datadog for is 'what broke / what's slow' — errors and traces — and the rest of the bill is inertia.
- You're OTel-instrumented (or on Sentry SDKs) and want a two-minute, agent-less switch you can revert with an env var.
- You want automatic N+1 / slow-query issues with span evidence instead of building APM dashboards by hand.
- Cost predictability is a requirement, not a nice-to-have — indie teams, agencies, startups watching burn.
Migration: an env var, not a project
export OTEL_EXPORTER_OTLP_TRACES_ENDPOINT="https://jentry.app/api/<projectId>/otlp/v1/traces"
export OTEL_EXPORTER_OTLP_HEADERS="x-jentry-key=<your project key>"
# errors: keep your Sentry SDK (or add one) pointed at the same projectIf you're on the Datadog Agent with dd-trace, the honest path is instrumenting with OpenTelemetry (the direction most of the industry is converging on anyway) — after that, your traces are portable to jentry, Datadog, or anyone else.
Frequently asked questions
Is jentry a full Datadog replacement?
No — and it doesn't try to be. Datadog covers infrastructure, logs, security and more. jentry replaces the APM + error-tracking slice for teams whose real usage is application health. If that's 80% of what you use Datadog for, you're paying for the other 20%.
How much cheaper is jentry, really?
Datadog APM lists per host per month, plus indexed spans, plus the products around it — real-world app-monitoring setups commonly land in hundreds to thousands per month. jentry is $14 or $49 flat. If your Datadog bill is mostly APM + errors, the delta is usually an order of magnitude.
Does jentry work with the Datadog Agent?
No. jentry ingests OpenTelemetry (OTLP/HTTP) and Sentry-compatible SDKs. If you're on dd-trace, you'd move that service to OTel instrumentation — which also un-locks you from any single vendor going forward.
What about logs?
jentry doesn't do log management. Keep your log pipeline (or Datadog Logs) — jentry links errors and traces by release/trace id, which covers most day-to-day debugging without log-volume pricing.
Can I run both during a trial?
Yes — OTel makes this trivial. A Collector can fan the same traces out to Datadog and jentry simultaneously while you compare; when you're done, remove one exporter.
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