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.
Observability for the AI Era
Autonomous production AI
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Agent-native OpenTelemetry context data lakevs
LGTM stack with Assistant overlayEasy To Use
Dash0 unifies logs, metrics, and traces in one UI with one query language. No PromQL, LogQL, or TraceQL toggle, with full resource-based context wherever you are.
High Complexity
Grafana Cloud offers abundant features, but is complex due to its reliance on multiple query languages and its challenging infrastructure setup.
One Query Language. One Data Store.
Query logs, traces and metrics using PromQL and view them in a single pane of glass. No additional setup required.
Three Query Languages. Three Data Stores.
Grafana uses three query languages, PromQL, LogQL, and TraceQL, across three separate signal stores. Correlation between them remains a manual stitching exercise.
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.
Limited Correlations
Grafana Cloud requires manual correlation across different systems. Different querying languages are required for logs, metrics and traces.
Simple Pricing
Dash0 offers transparent pricing based on data points sent, not bytes or users, ensuring cost predictability with no hidden fees.
Tiered Usage-based Pricing
Grafana Cloud is tier- and usage-based for telemetry, with Grafana Assistant priced per user on top. Self-managed Assistant became free in April 2026, but Cloud customers pay both.
Telemetry Spam Filter
Dash0's telemetry spam filter drops unwanted streams in two clicks, before they reach the data layer. OpenTelemetry compatibility is preserved end-to-end.
Manual Configuration
Grafana Cloud requires users to configure recording rules, log retention policies, and sampling strategies manually.
Autonomous production AI
Agent0 runs the full loop, from scan to pull request: continuous environment scanning every 60 seconds, autonomous investigation, multi-signal correlation, and validated asset generation. By the time your engineer opens Slack, the investigation is done.
Grafana Assistant
Grafana Assistant adds prompt-driven chat to Grafana, with Sift and Assistant Investigations available on demand. It does not scan proactively, does not generate alerts, does not check instrumentation quality, and does not raise pull requests.
Multi-signal correlation
Dash0's SIFT framework runs comparative analysis across logs, traces, metrics, deployments, and infrastructure state, surfacing exactly which attributes differentiate anomalous from baseline behavior.
Constrained Data Exploration
Grafana's Sift surfaces anomalies inside Grafana Cloud, but the comparative analysis runs across separate signal stores. Cross-signal correlation requires the engineer to navigate between three query languages and three backends.
Continuous environment scanning every 60 seconds
Agent0 continuously cross-references live telemetry against your active alert configuration and surfaces degraded services with no monitoring. It surfaces services with no defined ownership and routes investigations to the right team without an intermediary.
Reactive monitoring
Grafana Cloud surfaces what you already configured. Neither Assistant nor SIFT detects unmonitored degraded services or unowned services.
Validated asset generation
Agent0 generates dashboards, alerts, runbooks, Terraform, and Helm from natural language or investigation findings. Every artifact is checked against your live telemetry before it ships, with the corresponding IaC posted as a pull request to the right repository.
Dashboards from prompts
Grafana Assistant generates dashboards from natural language. It does not generate alerts beyond auto-remediation pipelines, does not generate Terraform or Helm, and does not run instrumentation quality checks against your OTel configuration.
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Why choose Dash0 vs. Grafana?
Features
OpenTelemetry-native data layer
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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
Triage root cause analysis
Integration hub
Infrastructure as code
One query language across signals
Unified storage across logs, metrics, traces
Proactive environment scanning
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Full resource-based context and navigation
Open standards (OTLP, PromQL, Perses)
Telemetry spam filter at source
Proactive environment scanning
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Any MCP connector
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PR generation for code fixes
Alert creation
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Alert coverage gap detection
Ownership gap detection
IRM / MCP ownership routing
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IaC generation (Terraform / Helm)
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.