New Relic and Sentry solve different problems that happen to overlap at the edges. New Relic is a unified observability platform built for teams who want infrastructure, APM, logs, and RUM under one roof, priced per engineer who needs full access. Sentry started as error tracking for developers and has spent the last few years growing outward: structured logs GA'd in September 2025, an AI debugging agent called Seer launched mid-2025 and gained an ask-anything "Seer Agent" mode in 2026, and the product now covers tracing, profiling, session replay, uptime monitoring, and even mobile size analysis. But Sentry's center of gravity is still the same as it was a decade ago: what broke, why, and how do I fix it, with everything organized around that question.
That difference in origin shows up directly in pricing. New Relic's cost is driven by how many engineers need a full platform seat ($349/month each on Pro) plus data ingest. Sentry's paid plans include unlimited users from the Team tier up, and the bill instead scales with usage: errors, spans, replays, log volume, and (if you want the AI debugging agent) a $40/month per active contributor charge for Seer. For a small team where everyone needs deep access, Sentry's unlimited-seat model can be dramatically cheaper. For a large enterprise running thousands of hosts with a five-person on-call rotation, New Relic's model wins by never taxing usage growth.
The capability gap is real too, and it goes both ways. Sentry does not have infrastructure monitoring, host-level metrics, or a topology/service map in the way New Relic does; it does not try to be a Datadog or Dynatrace competitor. What Sentry does have is the deepest AI-driven root-cause-to-pull-request workflow in this whole series: Seer reads your stack trace, logs, traces, replays, commit history, and code, proposes a fix, and can open the PR itself. New Relic's AI story (SRE Agent, Preview since February 2026) is still catching up to that level of automated remediation.
| Feature | New Relic | Sentry |
|---|---|---|
| Primary purpose | Unified full-stack observability platform | Developer-first error tracking, tracing, and AI debugging |
| Free tier | Yes (100GB/month + 1 full platform user, forever) | Yes (Developer plan, 1 user, 5K errors/mo, forever) |
| Pricing model | Per-user (seats) + data ingest (GB) | Per-project usage (errors, spans, replays, logs) + optional AI add-on |
| Users on paid plans | $349/month per full platform user | Unlimited, included from Team tier ($26/mo base) |
| Infrastructure monitoring | Yes | No |
| APM / distributed tracing | Yes (agents, eBPF, OTel) | Yes (Tracing product, span-based) |
| Log management | Yes ($0.40/GB) | Yes (5GB free, $0.50/GB after, trace-connected) |
| Session replay | Yes | Yes (video-like DOM reproduction, web + mobile) |
| Error tracking | Yes (part of APM) | Yes (the original, foundational product) |
| Continuous profiling | Limited | Yes (function-level, production CPU profiles) |
| Uptime / cron monitoring | Via synthetics | Yes (built-in uptime + cron monitors) |
| Mobile app size analysis | No | Yes |
| AI root cause + autofix | SRE Agent (Preview, Feb 2026) | Seer (GA since June 2025, generates PRs) |
| AI Agent / MCP monitoring | Limited | Yes (agent monitoring + MCP monitoring, Business+) |
| MCP server | Yes (Preview) | Yes (Sentry MCP) |
| SOC 2 | Yes | Yes (paid plans) |
| HIPAA | Yes (Data Plus) | Yes (BAA available) |
| ISO 27001 | No | Enterprise only |
| SAML + SCIM | Yes | Business+ |
| On-call / status pages | Via integrations | No |
New Relic's architecture puts logs, metrics, traces, and events into NRDB, queryable through NRQL, with infrastructure and RUM sharing the same backend. The pitch is that any engineer with a full platform seat can go from an alert to the root cause without leaving the interface or switching query languages. The tradeoff is the seat itself: $349/month per full platform user on Pro means the cost scales with how many people need deep access, independent of how much telemetry you're sending.
Sentry's model starts from a different unit: the issue. An error, a slow transaction, a failed cron job. Everything else, traces, logs, replays, profiles, is context that gets attached to that issue automatically. When something breaks, Sentry shows you the stack trace with the logs that happened around it, the trace that shows the full request path, the replay of what the user was doing, and the profile showing which function was slow, all in one page, without configuring correlation rules.
Because Sentry doesn't sell seats, the free Developer plan gets one user, but every paid tier (Team and up, $26/month) includes unlimited users. This is a fundamentally different growth curve than New Relic: a 30-person engineering org on Sentry Team pays $26/month plus usage; the same org on New Relic Pro pays $349 × however many people need full access, easily $5,000+/month before a byte of data is counted.
| Architectural factor | New Relic | Sentry |
|---|---|---|
| Core unit | Unified telemetry warehouse (NRDB) | The issue (error/performance problem), with context attached |
| Query language | NRQL | Sentry's search syntax (per-product, not a unified query language) |
| User pricing | Per-seat ($349/mo full platform, Pro) | Unlimited users included from Team tier |
| Infrastructure monitoring | Yes, native | Not a product Sentry offers |
| Best fit | Teams needing infra + APM + logs unified | Teams centered on app-level debugging and code-to-production feedback loops |
New Relic and Sentry both stop short of incident response: neither includes native on-call scheduling with phone/SMS delivery, and neither has status pages. Better Stack brings observability and incident response together in one platform.
From detection to on-call paging to a public status page, all in one place. Start free.
This is Sentry's home turf, and it shows. New Relic treats errors as one signal among many inside APM; Sentry treats errors as the organizing principle of the whole product.
Sentry groups similar exceptions into issues automatically, using a grouping model the company says prevents 20% more duplicate issues and halves incorrect merges after a recent model update. Every issue carries suspect commits, code owners, and ownership rules so the right person gets notified without manual triage. Stack traces link directly to source code (via GitHub/GitLab integration), and because Sentry supports essentially every language and framework, this works the same way whether the exception came from a Python worker, a React frontend, or a Rust service.
Release health tracks crash-free session and user rates per release, so a bad deploy shows up as a metric regression before it shows up as a flood of tickets. Alerting is highly configurable: alerts can fire on error frequency, on specific tags, or on anomaly detection (Business plan and up).
New Relic surfaces errors through APM's error analytics: error rate trending, transaction traces linked to exceptions, and thread profiling for performance-related failures. This works well if you're already living in New Relic's APM view during an investigation, but there's no dedicated issue-grouping model, no suspect-commit detection, and no code-ownership routing. Teams that want error tracking as the primary workflow, rather than a secondary view inside APM, tend to find Sentry's purpose-built approach faster to act on.
| Error tracking | New Relic | Sentry |
|---|---|---|
| Dedicated error product | No (part of APM) | Yes (the foundational product) |
| Issue grouping/deduplication | Basic | Advanced ML-based grouping |
| Suspect commit detection | No | Yes |
| Code ownership routing | No | Yes |
| Release health tracking | Limited | Yes (crash-free sessions/users) |
| Source code linking | Via APM | Native, deep |
This is the most interesting comparison in the whole series, because the two companies built AI features from opposite starting points, and Sentry got there first with something that ships fixes.
Seer launched in June 2025 and became one of the most talked-about features in the observability space because of what it actually does: when a new issue hits, Seer investigates automatically, using the stack trace, trace data, logs, replays, commit history, and the actual code from your connected GitHub repo, and by the time you open your laptop there's often a pull request waiting with a proposed fix.
In 2026, Sentry expanded this with Seer Agent: not every debugging session starts with a clean issue and stack trace. Sometimes you just know something feels off. Seer Agent lets you describe the symptom in plain language, then does the manual navigation across traces, logs, and services that an engineer would otherwise do by hand, hunting for the upstream cause. It's available via Cmd+/ inside Sentry, or by @-mentioning it in Slack.
Seer also extends into code review (AI Code Review, beta) and can hand analysis off to Claude Code or Cursor via the Sentry MCP server, so a fix generated from a production error can land as an actual commit without leaving your editor. Pricing: $40/month per active contributor (anyone who commits 2+ PRs in a connected repo), on top of Team, Business, or Enterprise.
New Relic's SRE Agent, launched into Preview in February 2026, investigates alerts using Intelligent RCA (topology graph search plus probabilistic causal ranking) and can integrate with Slack and Zoom so responders get context inside triage rooms. New Relic's own 2026 AI Impact Report claims 25% faster incident resolution for users of its AI-strengthened observability features.
The honest comparison: Sentry's Seer has been GA for over a year, ships to production PRs today, and is priced and packaged as a real product. New Relic's SRE Agent is still in Preview, focused on investigation and explanation rather than autonomous fix generation, and the broader Agentic Platform around it is mostly not GA yet. If code-level autofix is the deciding feature, Sentry is significantly further along.
| AI capability | New Relic | Sentry |
|---|---|---|
| Root cause investigation | SRE Agent (Preview, Feb 2026) | Seer (GA since June 2025) |
| Automated PR/fix generation | No | Yes |
| Free-form "what's wrong" queries | Via Agentic Platform (Preview) | Seer Agent (beta, 2026) |
| IDE/agent integration | MCP (Preview) | MCP + Claude Code/Cursor handoff |
| AI code review | No | Yes (beta) |
| Pricing | Included in seat cost | $40/mo per active contributor (add-on) |
| Maturity | Early, mostly Preview | Mature, GA, in daily production use |
Sentry's Seer can write the fix, and New Relic's SRE Agent can explain the incident, but neither hands the result to an on-call engineer with a phone call. Better Stack's AI SRE investigates and connects directly into on-call escalation, so root cause and response happen in the same workflow.
Root cause investigation that flows straight into your on-call workflow. See the AI SRE.
Both platforms handle traces and logs, but Sentry's are scoped around the debugging workflow rather than infrastructure-wide analytics, and it adds a capability New Relic doesn't emphasize: continuous production profiling.
Sentry's Logs product went GA in September 2025, and the defining feature is that every log entry is trace-connected by default: trace_id and span_id attach automatically, so you click from a log line straight into the full request waterfall. Structured attributes (user_id, order_id, feature_flag) are searchable without a separate parsing step. Every plan gets 5GB of logs free; beyond that it's $0.50/GB.
Continuous Profiling captures CPU profiles in production without custom instrumentation, going beyond "this endpoint is slow" to "this specific function on line 42 is slow." This is a genuinely differentiated capability; New Relic's thread profiling exists but isn't positioned as a standalone, always-on production profiling product the way Sentry's is.
New Relic's tracing (Infinite Tracing) and logs ($0.40/GB, no query fees) benefit from living in the same NRDB as infrastructure and APM data, so cross-signal correlation across your whole stack, not just a single service's issue, is more natural. If your team needs to correlate application traces against host-level infrastructure metrics, New Relic's unified model does that natively in a way Sentry, with no infrastructure product, simply can't.
| Capability | New Relic | Sentry |
|---|---|---|
| Distributed tracing | Yes (Infinite Tracing) | Yes (span-based, 5M spans free) |
| Logs | $0.40/GB, no query fees | 5GB free, $0.50/GB after, trace-connected |
| Continuous production profiling | Limited (thread profiling) | Yes (function-level, dedicated product) |
| Cross-signal correlation scope | Whole stack (infra + APM + logs) | App-level (issue-centered) |
| Query language | NRQL (unified) | Per-product search syntax |
Sentry's Session Replay reconstructs the DOM rather than recording pixels, and it prioritizes sampling sessions where errors actually occurred rather than sampling randomly, which matters because most session replay tools waste quota recording sessions that never reproduce the bug you're chasing. Every replay ships with an AI-generated summary, so you can read what happened instead of watching the full video. Privacy is aggressive by default: all text and media are masked before anything leaves the browser. Replay works for web and mobile (iOS, Android, React Native).
New Relic's digital experience monitoring covers browser RUM, mobile RUM, session replay, and synthetic monitoring as one integrated suite, and New Relic has been a two-time consecutive Gartner Magic Quadrant Leader for DEM. If synthetic monitoring (scripted, scheduled checks from global locations) matters to your evaluation, that's a category Sentry doesn't offer at all; Sentry's uptime monitoring checks availability but isn't a full synthetic transaction product.
| RUM / replay | New Relic | Sentry |
|---|---|---|
| Session replay | Yes | Yes (error-prioritized sampling, AI summaries) |
| Synthetic monitoring | Yes | No |
| Uptime monitoring | Via synthetics | Yes (dedicated, built-in) |
| Cron monitoring | Limited | Yes (dedicated) |
| Mobile RUM | Yes (iOS, Android, RN, Flutter) | Yes (iOS, Android, RN, Flutter) |
| Gartner DEM recognition | Yes (2x Leader) | Not evaluated in this category |
The structural story here is the same one that runs through this whole series: New Relic charges for people, Sentry charges for usage, and which one wins depends entirely on your team's shape.
Scenario: 25-engineer team, moderate error/trace volume, using AI debugging
| Cost component | New Relic (Pro, annual) | Sentry (Business + Seer) |
|---|---|---|
| Base platform | $0 (no per-seat infra fee) | $80/month (Business base) |
| User licenses | $8,725/month (25 × $349) | $0 (unlimited users included) |
| Errors/spans/logs beyond free tier | ~$200-400/month (ingest) | ~$150-300/month (usage-based) |
| AI debugging (Seer, ~10 active contributors) | Included in seat cost | $400/month (10 × $40) |
| Estimated monthly total | ~$8,925-9,125/month | ~$630-780/month |
At this profile the gap is enormous, because New Relic's cost is anchored to 25 people needing full platform access while Sentry charges nothing extra for headcount. Flip the scenario, a 3-person team running heavy infrastructure with 200 hosts, and the comparison changes: Sentry has no infrastructure product to price at all, so it simply can't cover that need regardless of cost, while New Relic's per-seat cost stays low with only 3 people needing licenses.
The honest takeaway: this pricing comparison only makes sense if both products can actually do what you need. Sentry is not a cheaper New Relic: it's a different tool that happens to be dramatically cheaper for teams whose primary need is application-level debugging rather than infrastructure observability.
| Pricing factor | New Relic | Sentry |
|---|---|---|
| Free tier | 100GB + 1 user, forever | 5K errors, 5GB logs, 50 replays, 1 user, forever |
| Users on paid plans | $349/mo per full platform user | Unlimited, included |
| Cost scales with | Headcount + ingest | Usage (errors, spans, replays, logs) |
| AI debugging cost | Included (Preview feature) | $40/mo per active contributor |
| Enterprise minimum | Negotiated | Custom (dedicated TAM, premium support) |
Sentry proves unlimited users don't have to mean unpredictable bills for application debugging. Better Stack applies that same principle to infrastructure, logs, and traces: pure data-volume pricing with no per-seat fees, so growing your team never inflates your observability bill.
Full-stack observability priced by volume, not headcount. Talk to us.
New Relic gaps worth knowing:
Sentry gaps worth knowing:
This comparison is less "which is better" and more "which problem do you actually have." If your team needs infrastructure monitoring, host-level metrics, and a single warehouse correlating application and infrastructure telemetry, Sentry simply isn't built for that job, no pricing advantage changes that. New Relic's unified model, despite its seat cost, is the right tool there.
If your team's primary pain is shipping code, watching it break, and fixing it fast, Sentry's whole product is organized around exactly that loop, and it has been for over a decade. The addition of Seer changes the calculus meaningfully: an AI agent that reads your stack trace, logs, traces, replays, and actual source code, then opens a pull request, is a materially different capability than New Relic's SRE Agent currently offers in Preview. For teams evaluating AI-assisted debugging specifically, Sentry is ahead today, not marginally, but by having shipped a mature, GA, revenue-generating product where New Relic still has a roadmap item.
The unlimited-user pricing model is worth sitting with regardless of which platform you choose for observability. It's a reminder that seat-based pricing is a choice vendors make, not a law of nature, and for engineering orgs where "everyone might need to look at this during an incident" is the normal state of affairs, that choice matters more than almost any feature checkbox.
Sentry debugs the code and New Relic monitors the stack, but neither pages someone at 2am or tells your customers what's happening. Better Stack combines observability with on-call scheduling, incident management, and status pages, so detection and response live in one platform.
The full reliability lifecycle in one place. Start free, no credit card required. Try Better Stack.
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