Dash0 Raises $110M Series B at $1B Valuation

Observability for the AI Era

Autonomous Production AI

Dash0Modern Observability for the AI Era — beyond Honeycomb Canvas
vs
HoneycombOTel-native, optimized for high-cardinality event analysis
Open Standards
Dash0 builds on OpenTelemetry, Perses, and PromQL. Dashboards are Perses, alerts and SLOs use OTel CRDs, queries are PromQL. Move your observability layer without rewriting your dashboards, alerts, or runbooks.
Open Standards
Vendor Lock-In
Honeycomb ingests OTel, but Triggers, SLOs, BubbleUp anomaly detection, and Canvas Skills are defined inside Honeycomb's query model and stored in Honeycomb's columnar backend. The investigation workflow and configuration surface aren't portable artifacts.
Vendor Lock-In
Simple Pricing
Dash0 offers transparent pricing based on data points sent, not bytes or users, ensuring cost predictability with no hidden fees.
Simple Pricing
Tiered Event-based Pricing
Honeycomb has a complex tier- & event-based pricing model that quickly becomes unpredictable for high-volume workloads.
Tiered Event-based Pricing
Telemetry Spam Filter
Dash0’s telemetry spam filter lets users effortlessly drop unwanted telemetry with two clicks, reducing costs while maintaining OpenTelemetry compatibility.
Telemetry Spam Filter
Manual Configuration
Honeycomb requires manual configuration in multiple areas to reduce telemetry data. Their sampling tool requires an enterprise license.
Manual Configuration
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 Use
Pay For What You Ingest
With Honeycomb you have to pay based on the number of events you ingest, regardless of applied filtering mechanisms.
Pay For What You Ingest
AI Enhanced Telemetry & Pattern Detection
Dash0's Log AI structures unstructured logs automatically, detects severity levels, and adds semantic context, delivering instant insights without regular expressions or manual configuration.
AI Enhanced Telemetry & Pattern Detection
Writing Manual Regular Expressions
Honeycomb ingests unstructured logs, but extracting fields and patterns relies on HQL transforms or pre-ingest pipelines. There's no equivalent to automatic log structuring at ingest.
Writing Manual Regular Expressions
Easy To Use
Dash0's UI uses color cues, keyboard navigation, and a query layer that maps native OTel semantic conventions to filters. PromQL is available when you want it, not required when you don't.
Easy To Use
Complex Query Model
Honeycomb's event-based query model is powerful for high-cardinality analysis but takes time to internalize. Canvas and the Query Assistant help, but learning to think in events, instead of metrics, logs, and traces as separate signals, is part of adoption.
Complex Query Model
Agent0 — the autonomous production AI
Agent0 scans your entire environment every 60 seconds, surfaces blind spots before alerts fire, runs autonomous investigations against multi-signal telemetry, and generates the assets to prevent the next incident: alerts, dashboards, runbooks, IaC, and validated pull requests.
Agent0 — the autonomous production AI
Canvas Agent — investigation and agent observability
Canvas runs auto-investigations when an alert fires, an SLO burns, or an anomaly is flagged. It's a chat surface plus Canvas Skills playbooks for investigation, with Agent Timeline for observing AI agents in production. Writing the fix, generating the alert that should have caught it, or shipping the IaC stays on your team.
Canvas Agent — investigation and agent observability
Continuous environment scanning, every 60 seconds
Agent0 scans services for error rates, latency anomalies, memory pressure, deployment regressions, and alert coverage every 60 seconds. By the time you open Dash0, the investigation context is already pre-loaded. You see blind spots before they find you.
Continuous environment scanning, every 60 seconds
Reactive — only when something fires
Canvas auto-investigations trigger when an alert fires, an SLO burns, or BubbleUp flags an anomaly. Services without a configured Trigger or SLO stay quiet until something breaks.
Reactive — only when something fires

Why choose Dash0 vs. Honeycomb?

Features
Dash0
Honeycomb
OpenTelemetry-native
Open standards for alerts and dashboards
Full resource-based context and navigation
Transparent pricing
()
Telemetry spam filter
AI improved logs
Triage root cause analysis
Integration hub
()
Easy to set up and use
()
Infrastructure as code
Proactive environment scanning
Alert coverage gap detection
Any MCP connector (outbound)
()
Task-based AI pricing
AI-generated dashboards
AI-generated PRs

Trusted by

Patrice Bouillet

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

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

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

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

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.

Instant log filtering and search
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.

Monitor the metrics that matter
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.

Each request, explained
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.