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.
Dynatrace Alternative for the AI Era
Autonomous production AI
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OpenTelemetry-native observabilityvs
Proprietary observability platformOpenTelemetry-native
Dash0 reads native OpenTelemetry data with full semantic structure: service names, resource attributes, span conventions, log-trace correlation, all without translation or proprietary enrichment. Your telemetry stays portable, with or without Dash0.
Proprietary Ecosystem
Dynatrace accepts OTLP, but OneAgent's bytecode-injection-based instrumentation remains the recommended path. OTel data is enriched and analyzed through proprietary Davis and Grail engines, which means your instrumentation choices and your analytics layer are tied together. Moving off Dynatrace means re-instrumenting from scratch.
Agent0, the autonomous production AI
Agent0 scans your environment every 60 seconds, before alerts fire. It cross-references live telemetry against your alert configuration and ownership sources to surface unmonitored and unowned services as proactive cards. When an incident happens, Agent0 investigates across logs, traces, metrics, deployments, and infrastructure state, then generates the fix as a validated pull request, the missing alert, the missing dashboard, the missing IaC, or the missing instrumentation. Every artifact is validated against live telemetry before it ships.
Dynatrace Intelligence, autonomous on a proprietary stack
Davis AI and Davis CoPilot reason over Smartscape's deterministic dependency graph and Grail's proprietary store. The agents are powerful inside Dynatrace, but the data layer is OneAgent-shaped, the query layer is DQL, and the connectivity layer is Dynatrace's MCP server. Autonomous operations on a proprietary stack is still a proprietary stack.
Open Standards
Dash0 is built on open standards end-to-end: OpenTelemetry for ingest, PromQL for querying, Perses for dashboards as code, and any MCP-compatible service for agent connectivity. Your telemetry, your dashboards, your alerts, and your agent integrations stay portable.
Vendor Lock-In
Dynatrace runs on a proprietary stack: OneAgent for instrumentation, Smartscape for topology, Grail for storage, DQL for querying. Each layer is excellent in isolation, and each layer is also the reason a Dynatrace migration is a multi-quarter project rather than a configuration change.
Easy To Use
Dash0's UI is keyboard-first, semantically aware, and resource-centric. Query in PromQL when you want to, point and click when you don't. Either way you stay in the open OTel data model.
High Complexity
Dynatrace surfaces a deep, proprietary product surface: Grail, Smartscape, Davis, DQL, OneAgent settings, and now Dynatrace Intelligence. All of it requires training to navigate. Davis CoPilot generates DQL from natural language, which helps one query at a time but still requires you to think in Dynatrace's data model.
Find unmonitored services before they page you
Agent0 continuously cross-references services degraded in live telemetry against your active alert configuration. Services with no monitor coverage surface as proactive cards with a one-click prompt to generate calibrated check rules per service. You see the blind spots before they become outages.
Reactive on whatever Davis is configured to watch
Davis AI fires on configured monitors and SLOs. Services that no one has set up monitoring for are services Davis cannot tell you about. Davis CoPilot can help you write the monitor, once you know it needs to exist.
Full Resource-based Context & Navigation
Dash0 correlates logs, traces, metrics, deployments, and infrastructure state through OpenTelemetry semantic conventions. The same resource graph that powers one-click navigation for humans is what Agent0 uses to investigate, generate assets, and validate fixes against live telemetry.
Complex Navigation
Dynatrace builds dependency context through Smartscape, generated by OneAgent's deep instrumentation. The topology is rich, but it lives inside Dynatrace's proprietary model. Any agent or external system reading that context goes through Dynatrace's MCP server, not through open semantic conventions.
Know who owns every service, before the page
Agent0 reads ownership from your existing sources. Services with no defined owner surface as proactive cards. For unowned services, Agent0 infers likely owners from deployment and commit history and generates assignments for approval. No ownership re-entry in Dash0.
Ownership lives wherever you put it
Dynatrace integrates with IRM tools to route alerts, but does not proactively detect ownership gaps. If a service has no owner mapped, you find out when the alert has no one to page.
Simple Pricing
Dash0 offers transparent pricing based on data points sent, not bytes or users, ensuring cost predictability with no hidden fees.
Obscure Pricing
Dynatrace bills the Davis Platform Subscription across multiple meters at once: per memory-GiB-hour for Full-Stack hosts (4 GiB minimum, 15-minute rounding), per host-hour for infrastructure, per GiB for logs, per session for RUM, plus separately metered capability units for Davis CoPilot.
Telemetry Spam Filter
Dash0’s telemetry spam filter lets users effortlessly drop unwanted telemetry with two clicks, reducing costs while maintaining OpenTelemetry compatibility.
Manual Configuration
Dynatrace requires custom configurations and policies to control excessive data collection. All rules apply only to Dynatrace’s syntax.
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
With Dynatrace you have to pay for all ingested data, regardless of applied filtering mechanisms.
Agent0 generates the asset, validated against live telemetry
When Agent0 finds an alert coverage gap, it generates the alert. When it finds a missing dashboard, it generates the dashboard. When alerts and dashboards need to be in code, it generates the Terraform or Helm and posts it as a PR. When instrumentation is degrading signal quality, it generates the instrumentation fix. Every artifact is grounded in your real telemetry, not a generic template.
Dynatrace Intelligence recommends, you implement
Davis CoPilot turns natural language into DQL, and Dynatrace Intelligence recommends remediation actions on detected issues. Creating the alert, building the dashboard, writing the Terraform, and fixing the instrumentation remain manual steps in Dynatrace's proprietary configuration.
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Why choose Dash0 vs. Dynatrace?
Features
OpenTelemetry-native
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Easy to set up and use
Open standards for alerts and dashboards
Full resource-based context and navigation
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Autonomous investigation on alert
Transparent pricing
Telemetry spam filter
AI improved logs
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Autonomous investigation
Integration hub
Alert coverage gap detection
Infrastructure as code
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Runtime vulnerability analytics
Profiling
Proactive environment scanning
Ownership gap detection
Code-level root cause (GitHub)
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AI-generated dashboards
Any MCP connector
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Runtime vulnerability analytics
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.
Dashboards
Visualize your data with ease
Perses lets you build powerful dashboards to visualize metrics, logs, and traces. Customize with built-in variables, use pre-made dashboards, and manage them as code to align with your releases.
AI
AI is an implementation detail
At Dash0 we believe that the best AI feature is the one you love without knowing it’s AI. We use LLMs, ML and other AI technologies to reduce repetitive work, enhancing your telemetry safely—no hallucinations.
Integrations
Instant observability for your entire stack
Leverage our pre-built integrations, dashboards, alerts, and views. Get started instantly with one click — no customization required.