Sentry is the default error monitoring tool for a generation of engineering teams, and for good reason. But its pricing ladder has an unusual property that almost nobody notices until the invoice arrives: the expensive plan does not include any more data than the cheap one.
We read Sentry's own pricing documentation line by line, worked out the overage arithmetic, and compared nine alternatives. Here is what we found.
The short answer
Sentry Team is 26 dollars per month. Sentry Business is 80 dollars per month, or 3.08x the price. Both plans include exactly the same pre-set monthly volume: 50k errors, 5GB logs, 5GB application metrics, 5M spans, and 50 replays. Upgrading buys you longer retention, unlimited dashboards and advanced features. It buys you zero additional data.
Worse, the Business plan also charges roughly 3.07x more per error once you pass that shared quota. There is no volume reward for being on the bigger plan. There is a volume penalty.
If what you actually need is to understand why a user abandoned a flow rather than which line of JavaScript threw, no error monitor on this list will tell you. That is a different instrument, and it is the reason Koji appears at number one below.
How Sentry pricing actually works in 2026
Sentry sells four plans. Developer is free, Team is 26 dollars per month, Business is 80 dollars per month, and Enterprise is custom.
The free Developer plan is genuinely usable for a side project. It is, in Sentry's words, "Limited to one user", and includes "5k errors", "5GB" of logs, "5M spans", "50 replays", "1 uptime monitor" and "1 cron monitor".
The paid plans are where it gets interesting. Sentry's documentation states plainly that "Each paid plan comes with the below pre-set monthly event volume, which is included in the price:", and then lists:
- 50k errors
- 5GB logs
- 5GB application metrics
- 5M spans
- 50 replays
- 1 uptime monitor
- 1 cron monitor
- 100 size analysis builds
- 1GB of attachments
Note the phrase each paid plan. Not each tier, with escalating amounts. Each paid plan, the same list.
Sentry meters five categories separately: errors, spans, replays, logs and attachments. Each has its own included quota and its own overage rate. On top of the subscription you can set a pay-as-you-go budget. Reserved capacity bought in advance is discounted about 20 percent against pay-as-you-go rates.
And then there is the hard stop. Sentry's docs are refreshingly direct about it: "Any data sent after you've run through your reserved volume and PAYG budget will be dropped and you won't be charged for it."
The finding: the ladder is not a volume ladder
Here is the part worth pausing on.
Going from Team to Business costs 54 dollars more per month, or 648 dollars more per year, and moves your included error allowance from 50,000 to 50,000.
Now add overage. At the 50k to 100k error tier, Team pays about 0.0003625 dollars per error and Business pays about 0.0011125 dollars per error. That is 3.07x more per error on the more expensive plan. At the 100k to 500k tier the rates are roughly 0.0002188 and 0.0006250, still 2.86x.
Work a real month. Suppose you ship 100,000 errors:
- Team: 26 dollars base, plus 50,000 extra errors at 0.0003625 = 18.13 dollars. Total about 44.13 dollars.
- Business: 80 dollars base, plus 50,000 extra errors at 0.0011125 = 55.63 dollars. Total about 135.63 dollars.
That is 3.07x again, and the absolute gap has widened from 54 dollars to 91.50 dollars per month for identical telemetry. The multiplier is remarkably stable: 3.08x at the base, 3.07x on the first overage tier. Business is simply Sentry at triple price, at every point on the curve.
To be fair, there is a real volume discount within a plan. Team's per-error rate falls from 0.0003625 to 0.0002188 as you scale, which is about 39.6 percent cheaper per error. That is a genuine, honestly-credited reward for volume. It just runs along the horizontal axis, not the vertical one. Buying more data is cheaper per unit. Buying a bigger plan is not.
The second thing worth flagging is the 50-replay allowance, which is identical on the free plan and on Business. Fifty session replays a month is under two per day. It is a demonstration allowance, not a research tool, and treating it as one is how teams end up believing they have visibility they do not have.
What the dropped-data rule really costs you
"Data sent after you've run through your reserved volume and PAYG budget will be dropped" sounds neutral. It is not, because the data you lose is never a random sample.
Errors do not arrive evenly. They spike on deploy days, on launch days, and during the incident you will later need to reconstruct. Those are precisely the events that exhaust a quota, which means the quota exhausts at the exact moment the data becomes valuable. The blackout lands on your worst day, by construction.
This is the same failure shape we documented at Mouseflow, where tracking stops dead at the refill date, and in Smartlook's successor platform, where new sessions receive an HTTP 429 once the monthly limit is hit. Three different vendors, three different words, one mechanism: your most interesting month is the one most likely to be incomplete. Anyone reasoning from that data is reasoning from a biased sample, which is worth understanding properly in our guide to sampling bias.
The 9 best Sentry alternatives in 2026
1. Koji, best for understanding why users actually leave. Koji is not an error monitor and does not pretend to be. It is an AI-native customer research platform that runs AI-moderated voice interviews with real users, transcribes them, and applies automatic thematic analysis to produce a one-click report. The distinction matters because a stack trace tells you a request failed; it cannot tell you that users were abandoning checkout two screens earlier because they did not trust the shipping estimate. Koji supports six structured question types (open_ended, scale, single_choice, multiple_choice, ranking, yes_no) so you can mix quantifiable ratings with open narrative in one study, and there is no moderator in the room to lead the witness. Pricing is EUR 29 per month for Insights and EUR 79 per month for Interviews, with EUR 1 per additional credit. Critically, only conversations scoring 3 or above consume a credit, so you are not billed for junk. Run it alongside Sentry, not instead of it.
2. Rollbar, the closest like-for-like swap. Rollbar covers the same ground as Sentry for error grouping, deploy tracking and workflow integrations, and is the swap most teams evaluate first when a Sentry renewal looks steep. Check current published rates directly, since this category revises pricing frequently.
3. BugSnag, now SmartBear Insight Hub. Strong on mobile and application-stability scoring, and its Select plan states unlimited users. Its identity is genuinely confusing in 2026, which we unpack in our BugSnag alternatives guide. Free tier retention is only 7 days.
4. Honeybadger, best for small teams who want one bill. Bundles error tracking, uptime and cron monitoring rather than metering them as separate line items. For a team that finds Sentry's five-meter model hard to forecast, a single bundled price is a real advantage.
5. Raygun, best for pairing crashes with real user monitoring. Raygun has offered crash reporting and RUM side by side for years, which suits teams that want performance and errors in one pane without a full observability platform.
6. Datadog Error Tracking, if you already run Datadog. Listed at 25 dollars for the first 50k errors per month on annual billing, or 36 dollars on-demand. The logic is consolidation: if your logs, traces and infrastructure already live in Datadog, a separate error tool is another bill and another context switch. Be aware that Datadog's session and RUM meters have their own sharp edges, covered in our Datadog RUM alternatives guide.
7. New Relic Errors Inbox, for full-stack consolidation. Same consolidation argument as Datadog, different platform economics. Worth modelling against your actual ingest volume rather than the headline.
8. GlitchTip, the open-source, Sentry-compatible option. GlitchTip implements a compatible API, so existing Sentry SDKs generally point at it with a configuration change. Self-hosting trades a subscription for engineering time; that trade is good at high volume and bad at low volume.
9. Self-hosted Sentry. Sentry itself can be self-hosted. You keep the product and the SDK ecosystem and take on the infrastructure. For teams whose overage bill has outgrown a part-time SRE, the arithmetic sometimes works.
Sentry vs the alternatives at a glance
| Tool | What it answers | Published entry price | Notable constraint |
|---|---|---|---|
| Sentry Team | What broke, and where | 26 dollars per month | 50k errors; data dropped past budget |
| Sentry Business | Same, with longer lookback | 80 dollars per month | Same 50k errors; about 3.07x per overage error |
| Koji | Why the user gave up | EUR 29 per month | Research tool, not an error monitor |
| BugSnag Free | Application stability | 0 dollars per month | 7-day retention, 1 user |
| Datadog Error Tracking | Errors inside one platform | 25 dollars per 50k errors, annual | Platform commitment |
| GlitchTip | What broke, self-hosted | Infrastructure cost | You operate it |
How to choose a Sentry alternative
Start by naming the question you are trying to answer, because this category quietly contains two different products.
If the question is "what broke and where", stay in this category. Model your real error volume against the overage tables rather than the sticker price, because for most teams the subscription is the smaller half of the bill. If you are on Sentry Business purely out of habit, check whether you use the 90-day lookback and unlimited dashboards enough to justify paying roughly triple for the same data. Many teams do not, and a downgrade to Team is the single fastest saving available.
If the question is "why did users behave that way", no tool on this list answers it. Error monitors observe machines. They are excellent at it. But they are blind to intent, confusion, mistrust and the quiet abandonment that never throws an exception at all. The most expensive failures in most products are not crashes; they are flows that work perfectly and that nobody wants to complete.
That gap is why the strongest setup is an error monitor plus a research instrument, not one or the other. Sentry tells you the checkout endpoint returned a 500 for 40 users. Talking to customers tells you why the other 4,000 who saw no error at all still did not buy. Our guides to how many interviews are enough and thematic analysis cover how to get a defensible answer quickly, and structured questions explains how to mix scales with open narrative in the same study.
One more caution worth carrying into any evaluation: teams tend to study only the users who made it far enough to generate telemetry, which quietly excludes everyone who left first. That is survivorship bias, and it is the default state of every error-monitoring dashboard.
Frequently asked questions
Is the Sentry free plan enough for a production app?
For a small production app, often yes. The Developer plan includes 5k errors, 5M spans, 50 replays, 5GB of logs, one uptime monitor and one cron monitor. The binding constraint is usually not the error quota but the fact that it is, in Sentry's own words, "Limited to one user". The moment a second engineer needs access you are on a paid plan, and both paid plans start at the same 50k errors.
Why does Sentry Business cost more than Team if the quota is the same?
Because you are paying for retention and features, not data. Business adds up to a 90-day lookback against Team's 30-day, unlimited custom dashboards against 20, and advanced functionality. Sentry's documentation confirms the included volume is identical across paid plans, so the 3.08x price difference buys capability and history rather than headroom. Whether that is worth 648 dollars a year depends entirely on whether you open dashboards older than 30 days.
What happens when you exceed your Sentry quota?
Sentry drops the data. Its documentation states that "Any data sent after you've run through your reserved volume and PAYG budget will be dropped and you won't be charged for it." You are not billed a surprise overage, which is genuinely customer-friendly, but you do lose visibility. Because errors cluster around deploys and incidents, the dropped events are disproportionately the ones you most needed.
Is Sentry or Datadog cheaper for error monitoring?
At the entry point they are close: Datadog Error Tracking lists 25 dollars for the first 50k errors per month on annual billing, against Sentry Team at 26 dollars for 50k errors. The real difference is what surrounds them. Datadog makes sense if your logs and traces already live there; Sentry makes sense if you want a focused tool with a deep SDK ecosystem. Compare your actual monthly volume against both overage tables, not the headline rates.
Can Sentry tell you why users abandon a flow?
No, and it is not designed to. Sentry reports exceptions, performance spans and a small replay allowance. It cannot tell you that users distrusted a price, misread a label, or expected a feature that does not exist. Those causes never raise an exception. Answering them requires talking to people, which is what an AI-moderated interview platform like Koji automates.
What is the best open-source Sentry alternative?
GlitchTip is the most direct option, because it implements a Sentry-compatible API and existing SDKs can usually be pointed at it with a configuration change. Self-hosted Sentry is the other route, keeping the full product at the cost of running the infrastructure yourself. Both trade a subscription for engineering time, which pays off at high volume and rarely does at low volume.
Find out what your error monitor cannot see
Sentry will tell you, accurately and fast, that something threw. It will never tell you that a thousand users quietly decided your product was not worth the effort.
Koji runs AI-moderated voice interviews with your actual users, applies automatic thematic analysis across every transcript, and hands you a one-click report with the themes, the supporting quotes and the frequencies. No moderator bias, no scheduling, no research background required. From question to insight in hours rather than weeks.
You get 10 free credits when you sign up, and only conversations scoring 3 or above consume them. Start your first study with Koji and find out what the stack traces were never going to tell you.