You resolve incidents fastest when you can see the broken request, the user it touched, and the deploy that introduced it in one place, before the support queue fills up. Sentry earned its place in that workflow by turning raw exceptions into grouped, traceable issues your developers can act on.

As your event volume and your stack grow, though, the question shifts from whether Sentry tracks errors well to whether its pricing and single-purpose scope still fit the way your team works, which gets you looking for Sentry alternatives.

This guide covers how to weigh those alternatives on cost, migration effort, and observability scope, the nine tools worth a shortlist in 2026, and a migration path to help you switch from Sentry.

Why Teams Move Off Sentry

Sentry captures exceptions, groups them into issues, attaches stack traces and breadcrumbs, and points engineers at the line of code that failed. For a small team on one application that workflow is hard to fault; the friction shows up once event volume grows and the tool has to sit next to the rest of an incident response stack.

• Pricing gets harder to forecast as you grow: Sentry meters errors, spans, session replays, logs, and metrics as separate categories, each with a monthly quota and per-category overage rates. A traffic spike or a noisy deploy can burn through an allotment quickly, and session replays count per session, so consumption climbs faster than teams estimate.
• Errors sit apart from logs and traces: Even with spans, logs, and metrics now metered alongside error tracking, each runs under its own quota, so an incident means moving between categories and budgets to assemble context. Teams consolidating observability usually want all four signals correlated in one workflow, priced one way.
• Self-hosting trades the bill for operational work: Sentry is open source under the Functional Source License, so self-hosting removes per-event cost but not the operating load of running PostgreSQL, Redis, Kafka, and ClickHouse alongside several Sentry services. Regulated teams weighing data residency typically find those options on higher tiers.

Coralogix is a full-stack observability platform that approaches cost predictability from the other side. Instead of per-event quotas across separate categories, it prices on gigabytes of data ingested with no per-host or per-user fees, so a spike in error volume tracks the amount of data sent and nothing else. That keeps the bill tied to one number you can model before the data arrives.

The 9 Best Sentry Alternatives

The nine tools below span pure error trackers, Sentry-SDK drop-ins, and full observability platforms that fold error tracking in alongside application performance monitoring (APM) and real user monitoring (RUM).

The table compares them across the five criteria that drive the decision, and the detailed entries follow. It maps each tool to whether you want a like-for-like swap, an open-source backend you run yourself, or a broader consolidation across software as a service (SaaS), self-hosted, and open-source deployments.

Tool	Type	Pricing	Deployment	Best for
Coralogix	Full-stack observability	Per-GB ingestion	SaaS, customer-owned storage	Consolidating error tracking with logs, metrics, and traces
Datadog	Full-stack observability	Per-host plus per-product usage	SaaS	Teams already on Datadog APM
New Relic	Full-stack observability	Per-GB ingest plus per-user	SaaS	APM-led teams wanting a free tier
SigNoz	Full-stack observability	Usage-based or free open source	SaaS, self-host, open source	OpenTelemetry-native teams
GlitchTip	Error tracking	Per-event or free open source	SaaS, self-host, open source	Drop-in Sentry replacement
Better Stack	Error tracking	Per-exception	SaaS	Cost-sensitive high-volume error tracking
Rollbar	Error tracking	Per-event tiers	SaaS	Focused real-time error tracking
Bugsnag	Error tracking	Per-event tiers	SaaS, self-host (enterprise)	Mobile and game crash reporting
Raygun	Error tracking plus RUM	Per-product usage	SaaS, on-prem	Error tracking with real user monitoring

1. Coralogix

Coralogix is a Sentry alternative that puts error capture inside one platform that also handles logs, metrics, traces, security, and AI observability, so the exception an engineer is chasing sits next to the request trace and the deploy log that explain it. puts error capture inside one platform that also handles logs, metrics, traces, security, and AI observability, so the exception an engineer is chasing sits next to the request trace and the deploy log that explain it.

Its Streama in-stream engine analyzes, alerts on, and clusters telemetry before any indexing step, then writes it to your own Amazon Simple Storage Service (S3) bucket in open Parquet format. That design is what keeps pricing predictable and retention effectively unlimited.

Key features:

• Streama in-stream processing: Logs, metrics, traces, and security on one pipeline, so alerts fire before any indexing step.
• DataPrime querying: DataPrime joins logs, metrics, traces, and business data in one pipe-based query.
• TCO Optimizer pipelines: The TCO Optimizer routes each stream into Frequent Search, Monitoring, Compliance, and Blocked pipelines by how it gets used.
• Customer-owned storage: Archived telemetry stays in your own cloud in open Parquet, queried in place through remote, index-free querying with no extra quota.
• Native OTLP ingestion: OpenTelemetry-native, with OpenTelemetry Protocol (OTLP) as a first-class path and Fleet Management for collector configuration across services.
• Olly investigation: Olly, Coralogix’s autonomous observability agent, investigates incidents in natural language across your logs, metrics, and traces, so you can ask what happened and follow the answer without writing queries.

Pros:

• Predictable pricing: Per-GB ingestion with no per-host, per-user, or per-query fees.
• Unified context: Errors sit alongside logs, metrics, and traces in one interface.
• Customer-owned data: Open Parquet in your own cloud removes lock-in at the data layer and holds long retention at object-storage cost.
• Support included: 24/7 human support with a 17-second median response time, included in every plan.

Cons:

• Migration scope: A larger move than a same-day data source name (DSN) swap.
• Scope fit: Lightweight error-only teams may not need the broader platform.

Best for: DevOps leads who want to retire a standalone error tracker and see exceptions in context on pricing they can predict.

Pricing: Per-GB ingestion at $0.42/GB for logs, $0.16/GB for traces, and $0.05/GB for metrics, with all features, users, and support included.

2. Datadog

Datadog brings error tracking together with infrastructure monitoring, APM, logs, and RUM in one hosted platform, with a large integration catalog and prebuilt dashboards. Error Tracking ships for APM and RUM customers and also sells standalone, grouping errors by impact and pivoting into Git or an editor.

Key features:

• Watchdog correlation: Automatic anomaly detection across Datadog signals.
• Included or standalone: Ships with APM and RUM, with a standalone option for teams not on APM.
• Broad coverage: Infrastructure, APM, logs, RUM, and security in one tenant.

Pros:

• One tenant: Strong cross-signal correlation when APM, logs, infrastructure, and RUM run together.
• Fast start: A wide integration catalog with prebuilt dashboards and alerts.

Cons:

• Layered billing: Hosts, ingested spans, indexed spans, logs, and RUM sessions bill on separate meters, and APM requires a paired Infrastructure plan. Coralogix prices every signal on the same per-GB ingestion, with no paired plan required for APM.
• Cost growth: Add-ons such as custom metrics and indexed spans raise the effective total as volume grows.

Best for: Enterprise teams already on Datadog APM that want error tracking in the same tenant.

Pricing: Per-product pricing combining per-host and usage-based components across APM, logs, RUM, and standalone Error Tracking.

3. New Relic

New Relic leads with APM and folds error tracking into Errors Inbox, a single screen that triages errors across APM, browser, mobile, serverless, and OpenTelemetry data. It runs on a consumption model with a generous free tier, so teams can start without a contract.

Key features:

• Errors Inbox: Unified error triage across backend, browser, mobile, and serverless on one screen.
• Error context: Errors tie into the trace, log, and user-impact context around them.
• Perpetual free tier: 100 GB of monthly ingest and one full-platform user, no card and no time limit.

Pros:

• Real free tier: A full-featured starting point without a credit card.
• APM depth: Error tracking ties directly into trace and log context.

Cons:

• Per-user cost: Core and Full Platform seats stack on top of data ingest and climb as more engineers need access. Coralogix charges no per-user fees, so adding engineers does not move the bill.
• Ingest and retention: Data beyond the free 100 GB bills per GB, with extended retention as an add-on.

Best for: APM-led teams that want full-stack observability with a free entry point.

Pricing: Ingest plus per-user pricing, with 100 GB and one full-platform user free, then $0.40 per GB and per-seat user tiers.

4. SigNoz

SigNoz takes an OpenTelemetry-native approach, bringing logs, metrics, traces, and exceptions into one place on a ClickHouse datastore. It instruments through OpenTelemetry instead of a proprietary agent, which keeps collection portable and opens a path to self-hosting.

Key features:

• Exceptions view: A dedicated exceptions view based on OpenTelemetry trace data.
• Full-stack coverage: APM, distributed tracing, logs, infrastructure, and LLM monitoring in one tool.
• Three deployment paths: Free self-hosted Community Edition, managed SigNoz Cloud, or Enterprise bring-your-own-cloud.

Pros:

• No agent lock-in: OpenTelemetry-native instrumentation stays portable across backends.
• Usage-based cloud: Cloud pricing bills on ingestion with no per-user or per-host fees.

Cons:

• Self-hosting overhead: The Community Edition puts ClickHouse operation and upkeep on your team. Coralogix runs as a managed platform while archived telemetry stays in your own S3 bucket, so data ownership comes without operating the datastore.
• Trace-based errors: Error tracking depends on trace exceptions instead of a purpose-built grouping engine.

Best for: OpenTelemetry-native teams that want open-source observability with an optional managed tier.

Pricing: Usage-based cloud pricing from around $49 per month, plus a free open-source Community Edition.

5. GlitchTip

GlitchTip is an open-source error tracker compatible with Sentry client SDKs and built to run on a lighter stack. It implements the Sentry ingestion protocol, so switching can be a DSN change instead of a re-instrumentation project, which makes it one of the closest drop-in replacements.

Key features:

• DSN-swap migration: Existing Sentry SDKs point to a GlitchTip DSN with no broad rewrite.
• Lightweight stack: Runs on a handful of containers, with recent versions adding OTLP logging and DuckDB and Parquet cold storage for cheap retention.
• Error, performance, and uptime: Error grouping, basic transactions, and uptime checks in one place.

Pros:

• Low migration cost: Sentry-SDK compatibility turns a migration into a DSN change.
• Free to self-host: Open source with unlimited self-hosted use.

Cons:

• Lighter feature set: ource map support is JavaScript-only, with no session replay or profiling. Coralogix includes real user monitoring and continuous profiling in the same ingestion-based plan.
• Basic alerting: Alert rules are simpler than Sentry’s.

Best for: Teams that want a drop-in Sentry replacement they can self-host cheaply.

Pricing: Free to self-host, with hosted plans from $15 per month and a small free hosted tier.

6. Better Stack

Better Stack accepts Sentry SDK payloads across more than 100 platforms, so its error tracking can be a DSN swap from an existing Sentry setup. Its flat per-exception pricing with no volume tiers is what makes it cost-effective at high event volume.

Key features:

• Sentry SDK compatibility: Native payload acceptance across JavaScript, Python, Go, Ruby, Java, .NET, and PHP.
• Errors with context: Errors sit next to logs, traces, and metrics, with an AI SRE for root cause work.
• AI fix prompts: One-click fix prompts for Claude Code, Cursor, and Codex, plus an MCP server for querying exceptions.

Pros:

• Flat pricing: Per-exception pricing can undercut quota-based competitors at high volume.
• Generous free tier: The free plan covers a large monthly exception allowance.

Cons:

• Not a full platform: It does not run logs, metrics, and traces as one full-stack observability platform the way Coralogix does.
• Consultation at the top: Large error volumes move to a consultation instead of self-serve pricing.

Best for: Teams with high event volume that want low, flat error-tracking cost and an easy migration.

Pricing: Per-exception pricing at roughly $0.00005 per event, with a free tier and consultation options for large volumes.

7. Rollbar

Rollbar focuses on real-time error tracking for developers. It groups errors by stack trace and message, then attaches deploy and contributor context for each issue, with source maps, symbolication, and ProGuard support across common languages.

Key features:

• Intelligent grouping: Grouping by stack trace and message, with capture of pre-error activity.
• Code-level context: Line of code, deploy, and last contributor per issue, plus Rollbar Query Language (RQL) and a Metrics API on higher tiers.
• Overage controls: Stop-at-limit, on-demand, or dollar-cap budgets to bound spend.

Pros:

• Predictable model: Volume-based pricing meters occurrences with unlimited users on paid tiers.
• Spend control: Three overage modes keep a bad deploy from running up the bill.

Cons:

• Single-purpose: Logs, metrics, and traces live in other tools. Coralogix keeps them next to error data in one platform, on one ingestion meter.
• Cost growth: Adding session replay and advanced analytics raises the total as volume climbs.

Best for: Teams that want dedicated real-time error tracking with strong code-level context.

Pricing: A free tier of 5,000 events per month, then Essentials and Advanced tiers that scale by event volume, plus Enterprise.

8. Bugsnag

Bugsnag, now part of SmartBear’s Insight Hub, is an error and crash reporting tool with a mobile-first heritage that makes it strong on iOS and Android. It supports more than 50 platforms, including mobile frameworks and game engines, and ties crash data to releases.

Key features:

• Stability scoring: A real-time crash-free session rate with targets to decide between shipping and fixing.
• Symbolicated traces: Automatic capture of handled and unhandled errors with source maps, dSYM, and ProGuard support.
• Release health: Errors tied to releases and adoption, with configurable overage handling.

Pros:

• Mobile depth: Deep coverage for mobile and game-engine platforms.
• Release decisions: Stability scores tie crash data to specific releases.

Cons:

• Crash focus: It centers on crash reporting instead of backend logs, metrics, and traces.
• No replay: Session replay is not built in, so frontend teams pair it with another tool.

Best for: Teams whose primary product runs on mobile or game clients.

Pricing: A free tier of 7,500 events per month, with paid plans priced by monthly event volume and configurable overage.

9. Raygun

Raygun pairs error tracking with real user monitoring through three separately priced products: Crash Reporting, RUM, and APM. Its RUM product connects a degraded frontend session to the crash or slow request behind it, with load-time breakdowns and individual session views.

Key features:

• Crash Reporting: Error tracking with diagnostics down to the line of code, plus source maps and symbolication.
• RUM with full waterfall: Load-time breakdowns across DNS, latency, SSL, server, and transfer, with session viewing and Core Web Vitals.
• Cross-referenced data: RUM links to Crash Reporting so a degraded session connects to the crash behind it.

Pros:

• Modular purchase: Per-product pricing lets you add RUM without replacing your error tracker.
• Frontend depth: Core Web Vitals and single-page application (SPA) support for frontend-heavy apps.

Cons:

• Separate bills: Three products mean three line items for the full set. Coralogix covers errors, RUM, and APM under a single per-GB bill.
• Not unified: It is not one full-stack platform across logs, metrics, and traces.

Best for: Teams that want error tracking combined with real user monitoring of frontend performance.

Pricing: Per-product usage pricing for Crash Reporting, RUM, and APM, billed by reserved events with on-demand overage.

Choosing the Right Sentry Alternative for Your Team

The right alternative depends on which pain point pushed you off Sentry: the bill, the need to run your own stack, or errors that sit apart from the rest of your telemetry. These three paths cover where each tool on the shortlist fits:

• Drop-in replacements for a low-effort swap: GlitchTip and Better Stack accept Sentry SDK payloads, so the move is a DSN change, not a re-instrumentation project. They fit teams whose main pressure is Sentry’s per-event bill but who want error tracking to stay single-purpose.
• Open-source backends you run yourself: GlitchTip self-hosted and SigNoz suit teams that want no license cost or data residency on their own infrastructure and have the staff to operate the stack. SigNoz adds logs, metrics, and traces on OpenTelemetry, while GlitchTip stays lean on a lighter footprint.
• Full-stack consolidation on predictable pricing: Coralogix, Datadog, and New Relic fit teams that want errors alongside logs, metrics, and traces in one place. Coralogix is a Sentry alternative that answers the two pressures together — an unpredictable bill and errors isolated from the rest of your signals — with ingestion-based pricing and storage you own.

None of these is a default. The path is whichever pressure you feel first, and matched against the criteria earlier the shortlist narrows to one or two names worth a trial on your own traffic.

Migrating Off Sentry Without Rewriting Your Instrumentation

A Sentry migration starts with the instrumentation already in your services, not the backend, so the timeline tracks the assets you rebuild, not the endpoint you repoint:

• A DSN swap or a re-instrumentation: GlitchTip and Better Stack accept Sentry SDK payloads, so the DSN changes while your existing SDK calls stay put. Moving to an OpenTelemetry-native platform like Coralogix or SigNoz is a larger change, since collection gets re-instrumented, not repointed.
• Assets that do not transfer cleanly: Source maps, alert rules, historical error data, and issue ownership history do not follow the endpoint. Lighter trackers support JavaScript source maps only and ship simpler alert engines, so teams rebuild alert logic and run both systems in parallel through the cutover.

Teams already standardized on OpenTelemetry carry the least migration risk, since only the backend changes while the collection layer stays in place.

How Coralogix Fits as a Sentry Alternative

Coralogix fits the Sentry-alternative conversation when the goal is consolidation, not a like-for-like swap. It answers the two pressures that push teams off Sentry. Ingestion-based pricing takes on the unpredictable bill, and one correlated dataset takes on the errors that otherwise sit apart from logs and traces.

Coralogix prices observability data by ingestion volume, so a traffic spike ties cost to the additional data sent instead of a quota breach across separate categories. You pay for the data you send, with no per-host, per-user, or per-query charges on top. That lets coverage grow with infrastructure, because engineers have less reason to drop telemetry to manage spend.

Errors stop living in their own pane. An exception can be queried with the request trace that produced it and the deploy events around it through DataPrime, and investigated in plain language with Olly, the autonomous observability agent built into the platform, so root cause work happens in one place. For teams that only need lightweight error capture, a Sentry-compatible drop-in may be enough; for teams that want errors, logs, metrics, traces, and security in one full-stack observability platform, Coralogix fits that evaluation.

If your Sentry bill climbs every time traffic spikes, try Coralogix’s free 14-day trial on your own production telemetry and compare your current event volume against ingestion-based pricing. You will see the cost and the cross-signal correlation before you commit.

Frequently Asked Questions About Sentry Alternatives

What is the cheapest Sentry alternative?

At high event volume, flat per-exception tools like Better Stack tend to be among the lowest-cost options, since cost tracks exception count directly. For self-hosting, open-source Sentry-compatible trackers like GlitchTip can run free, though your team owns the infrastructure. If you want predictable cost across more than errors, Coralogix prices on data volume instead of event count. To see what your data volume would cost under ingestion-based pricing, try Coralogix for free and run the numbers on your own telemetry.

Is there a free, open-source Sentry alternative?

Yes. GlitchTip is open source, Sentry-SDK compatible, and free to self-host, and SigNoz is open source and OpenTelemetry-native if you want logs, metrics, traces, and exceptions in one place. Both shift infrastructure and upkeep to your team in exchange for no license cost.

Can I migrate off Sentry without changing my code?

For drop-in tools, yes. Sentry-compatible backends accept Sentry SDK payloads, so you change the DSN and keep your existing capture calls. Moving to an OpenTelemetry-native platform is a larger project, so plan for source-map and alert-rule rebuilds either way.

Which Sentry alternative is best for full-stack observability?

Coralogix fits teams that want error tracking, logs, metrics, and traces in one platform on predictable pricing, with data stored in their own cloud and held at near-infinite retention. OpenTelemetry-native tools like SigNoz are strong when open-source deployment is the priority.

What is the difference between an error tracker and an observability platform?

An error tracker captures, groups, and alerts on exceptions, with the stack trace and context to fix a specific bug. An observability platform adds logs, metrics, and distributed traces, so you can tie an error to the request and the system behavior around it. Error trackers like GlitchTip and Rollbar do the first job well, while platforms like Coralogix, SigNoz, and Datadog cover both.