Logs
Instant log filtering and search
Manage diverse logs with the fastest search and filtering capabilities. Leverage OpenTelemetry semantic conventions for context, traces, and metrics, to spot patterns in a blink.
Modern Sentry Alternative
Autonomous Production AI
The Sentry alternative for production, not just errorsvs
Application monitoring with AI debuggingOpenTelemetry-native
Dash0 reads OpenTelemetry data natively, end to end. Service names, resource attributes, span conventions, log/trace correlation — everything stays in the format your code emits. No translation, no proprietary schema in the middle. That's what lets Agent0 reason across your telemetry with the full semantic structure intact.
Proprietary Ecosystem
Sentry's OTLP endpoint lets you send OTel traces and logs, but Sentry remaps them into its own event model, and most advanced features (Session Replay, Profiling, full Seer context) still need Sentry's native SDKs. Your OTel instrumentation works, but it doesn't unlock the platform.
Agent0 — autonomous production AI
Agent0 scans your entire environment every 60 seconds. Before alerts fire. It cross-references degraded services against your alert configuration and surfaces the gaps. It infers ownership from PagerDuty, CODEOWNERS, Linear, and Backstage. When an incident hits, investigation, code-level root cause, and a validated pull request happen in one motion. Inside Dash0, inline with your traces and dashboards.
Seer — reactive AI debugger
Seer scans issues as they're ingested into Sentry. Seer Agent (open beta) lets you ask open-ended questions against Sentry's telemetry. Both are reactive — they need an issue, an alert, or a question to start. No proactive environment scan, no alert coverage gap detection, no ownership gap detection. Priced as a $40-per-active-contributor add-on on top of your Sentry plan.
Simple Pricing
Dash0 prices on data points, not bytes, hosts, or seats. One dimension you can model in advance. No separate quotas for errors versus transactions versus replays, no contributor-based AI add-ons. What you ingest is what you pay for, after the spam filter drops the noise.
Complex Pricing
Sentry's pricing combines a base tier (Developer / Team / Business / Enterprise) with separate quotas for errors, performance events, session replays, and attachments, each billed PAYG once you exceed the included volume.
Easy To Use
Dash0's UI is built for keyboard-first investigation. Smart color cues, instant filtering on any attribute, and a query bar that takes natural language or PromQL — whichever is faster for the question in front of you.
Optimized for debugging, narrow on dashboards
Sentry's UI is purpose-built for issue triage. Open an issue, see the stack trace, the breadcrumbs, the replay. Excellent for that. Custom dashboards are gated behind the Business plan, span aggregations live in Trace Explorer, and broad system-level views (infrastructure, Kubernetes, host metrics) aren't part of the product at all.
Open Standards
Dash0 embraces open standards like OpenTelemetry, Perses, and Prometheus, ensuring flexibility, interoperability, and future-proof observability - without vendor lock-in.
Vendor Lock-In
OTel data sent to Sentry is converted into Sentry's proprietary event model the moment it lands. Querying happens through Trace Explorer's span filters or Seer's natural-language layer, not against raw OTel semantic conventions. Move off Sentry and the conversion has to be undone.
Full Resource-based Context & Navigation
Dash0’s resource-centric approach seamlessly correlates logs, spans, and metrics using semantic conventions, enabling one-click navigation for effortless troubleshooting.
Issue-centric, no infrastructure layer
Sentry correlates errors, traces, logs, and session replays around a triggering issue, useful when you have one. The unit of analysis is the issue or the trace, not the service or the resource. There's no infrastructure layer (hosts, Kubernetes, cloud resources) to correlate against, so system-wide troubleshooting still leaves Sentry to land somewhere else.
Telemetry Spam Filter
Dash0's telemetry spam filter drops noisy signals in two clicks. No collector reconfiguration, no SDK sample-rate tuning, no custom ingest filters. Drop it, stop paying for it.
Manual Filtering Rules
Sentry captures every error event hitting your SDK by default. Cutting volume means tuning each SDK, configuring inbound data filters per project, and managing separate quotas for errors, transactions, and replays.
Pay For What You Use
In Dash0 you only pay for the telemetry data you actually use, after filtering with spam filter.
Pay For What You Ingest
Sentry's inbound data filters drop events before they count toward quota, for events you anticipated. Anything captured then deemed noise after the fact still consumes your event budget. There's no after-ingestion equivalent of dropping a signal.
Where Dash0 is a better fit
If your team ships to Kubernetes, needs full-stack visibility across logs, metrics, and traces, or wants an AI that does more than investigate, creating alerts, dashboards, runbooks, and PRs from what it finds, Dash0 is the better starting point. Agent0 scans your production environment every 60 seconds, surfaces blind spots before they become incidents, and generates validated assets against your live telemetry. No separate AI product to license, no proprietary format locking your data in.
Where Sentry is a better fit
If your priority is frontend error debugging with session replay, mature crash reporting for native mobile apps, and pre-merge AI code review, and you don't need infrastructure or Kubernetes visibility, Sentry will serve you well. Many teams run both: Sentry for application-level debugging, Dash0 for production observability and autonomous response.
Why choose Dash0 vs. Sentry?
Features
OpenTelemetry-native
Easy to set up and use
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Open standards for alerts and dashboards
Full resource-based context and navigation
Transparent pricing
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Telemetry spam filter
AI improved logs
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Triage root cause analysis
Autonomous investigation
Integration hub
Infrastructure as code
Session replay
Profiling
Proactive environment scanning (every 60s)
Alert coverage gap detection
AI-generated dashboards
Frontend observability
Any MCP connector
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MCP server monitoring
Infrastructure monitoring
Kubernetes monitoring
Task-based pricing
Trusted by
Patrice Bouillet
Solution Architect - Porsche Digital
Dash0's foundation on open source standards ensures future-proof and next-gen observability. Their focus on ease of use empowers all of our developers to gain insights quickly.
Mitre Angjelkoski
Infrastructure engineer - Chargetrip
In an age of overly complex tools, we find that Dash0 stands out for its simplicity and speed. With simple pricing, easy integration, amazing filtering capabilities, fast handling of large data volumes, and straightforward alerting with clear error messages, Dash0 makes observability a breeze.
Carlo Verhoeven
Senior Full-Stack Engineer - catchHR
Dash0 has significantly streamlined our approach to observability and OpenTelemetry, bringing everything together in one place. The intuitive interface and seamless integration have enabled us to quickly gain valuable insights into our systems and resolve issues efficiently.
David Abram
Senior Web Developer - CroCoder
What I love most about Dash0 is that it's fully OpenTelemetry native which has significantly improved our software development process. The seamless navigation from logs to traces to metrics streamlines bug diagnosis and troubleshooting, enhancing our team's efficiency.
Oliver Michels
DevOps Cloud Architect - AV Software Solutions 360° at Bechtle
With Dash0, we have found an OpenTelemetry-native solution that provides the flexibility we need. With the support of the open standard OpenTelemetry, we are able to handle public resources responsibly.
Observability in Minutes, not Months
No complex setups, no maintenance - all the context for your logs, metrics and traces.
Metrics
Monitor the metrics that matter
Centralize Prometheus & OpenTelemetry metrics to monitor your infrastructure and service with ease. Use proven dashboards, integrations and alerts with full context, based on OpenTelemetry semantic conventions.
Traces
Each request, explained
Spot errors and bottlenecks: real-time search and filtering capabilities for all high cardinal attributes. Get heatmap drilldowns, trace details, and context for events, logs, and resources on one page.