Coroot vs Dash0

A fair comparison of two modern observability platforms: architecture, features, costs, and where each one is the better fit

Instrumentation

eBPF zero-code vs OpenTelemetry SDKs

Deployment

Self-hosted & open-source vs SaaS-only

Pricing Model

Flat per-CPU core vs usage-based per signal

Architecture & Technology

Two different philosophies for collecting and storing observability data

Coroot

Coroot

🔒 eBPF-Native, Self-Hosted Platform

Full-stack observability with zero instrumentation. eBPF captures telemetry automatically, ClickHouse stores it efficiently, and AI pinpoints the root cause - on your infrastructure.

eBPF Auto-Instrumentation

Metrics, traces, logs, and network flows with no code changes or SDKs to maintain

Open Source & Self-Hosted

Apache/AGPL with a free Community Edition; air-gapped deployments and full data ownership

Automated Root Cause Analysis

Real RCA across all telemetry, with built-in continuous profiling down to the line of code.

Learn more about AI features →

Zero Configuration Setup

Pre-built dashboards, alerts, and inspections - insights within minutes

Enterprise Control & Support

Commercial support with SLAs, professional services, and on-prem deployments.

Explore enterprise features →

Dash0

☁️ OpenTelemetry-Native SaaS Platform

Open standards end to end. OTLP ingest, PromQL queries, and Perses dashboards on a fully managed cloud, from the team behind Instana.

OpenTelemetry Throughout

OTLP ingest, PromQL, and Perses dashboards - no proprietary agents and low lock-in

Instrumentation Required

OpenTelemetry SDKs, Collector, or the Kubernetes operator (OTel auto-instrumentation for Node.js and Java)

Fully Managed SaaS

Cloud-only on AWS with EU and US data residency; no self-hosted or air-gapped option

Agentic AI (Agent0)

AI agents and Triage run cross-signal investigations and generate validated artifacts

Transparent Usage Pricing

Per-signal pricing with no base fee or per-seat charges, plus spam filters to control telemetry cost

Feature Comparison

How the platforms compare across key observability capabilities

FeatureCorootDash0
Metrics & Infrastructure Monitoring

Comprehensive telemetry via eBPF including network monitoring

Infrastructure and Kubernetes monitoring with PromQL querying

Distributed Tracing

eBPF auto-tracing + OpenTelemetry compatibility, no code changes

Full OpenTelemetry tracing with heatmaps and RED metrics from spans

Log Management

Automated discovery & shipping, pattern extraction, ClickHouse 10x compression

Log search with pattern grouping and AI-assisted analysis

OpenTelemetry-Native Ingestion

Ingests OTLP alongside eBPF; OpenTelemetry-compatible

OTLP ingest, PromQL queries, and Perses dashboards end to end

eBPF Zero-Code Instrumentation

eBPF captures metrics, traces, logs, and network flows with no agents in your code

Requires OpenTelemetry instrumentation; operator auto-instruments Node.js and Java via OTel agents

AI Root Cause Analysis

Automated RCA across metrics, logs, traces, and profiles

Agent0 and Triage run agentic investigations across signals; newer capability

Continuous Profiling

Always-on eBPF profiling with <1% overhead, down to the exact line of code

On the roadmap; can forward OTLP profiles from an external profiler, no first-class product yet

Database Monitoring

Postgres, MySQL, MongoDB, Redis - integrated with RCA out of the box

Covered through generic OpenTelemetry traces and metrics, no dedicated database product

Self-Hosted & Open Source

Apache/AGPL, self-hosted first, with a free Community Edition and air-gapped deployments

SaaS-only and closed-source; AWS EU/US data residency, no on-prem option

Cloud Cost Monitoring

Automatic per-application cloud cost tracking, including cross-AZ and egress costs

Offers telemetry cost controls (spam filters), not cloud infrastructure spend monitoring

Real User Monitoring (RUM)

Not available - backend and infrastructure focused

Website monitoring via the OpenTelemetry Web SDK with Core Web Vitals and sessions

Synthetic Monitoring

Not available - focuses on internal observability

Synthetic API checks from multiple global locations

Dash0 offers Real User Monitoring and synthetic monitoring, which Coroot does not. Coroot focuses on backend and infrastructure observability with eBPF.

Cost Analysis

Predictable per-core pricing vs transparent usage-based billing

Coroot

Coroot

Community Edition:

Free

Complete observability platform

Enterprise:

$1/CPU core

Monthly subscription per CPU core

View detailed pricing →

What's included:

  • • Cost independent of telemetry volume
  • • No per-signal or per-GB charges
  • • All features included
  • • Self-hosted on your infrastructure

Dash0

Free trial:

14 days

Full feature access, no credit card; no base fee or per-seat charges

Usage-based:

Per signal

$0.20/M metric points, $0.60/M spans, $0.60/M log records

Pricing dimensions:

  • • Billed by item count, not GB
  • • RUM web events $0.60/M, synthetics $0.20/K runs
  • • Cost scales with telemetry volume
  • • Retention: metrics 13 months, spans/logs 30 days

Example: 50-Host Environment

Coroot Enterprise

Coroot licenses (200 cores × $1)$200
Infrastructure (4 vCPU, 16GB RAM)$120
Storage (1TB SSD - 2x replication)$80
Total monthly cost$400
* Flat per-core - does not change as telemetry volume grows
See full pricing breakdown →

Dash0 (usage-based)

Metrics (3B points × $0.20/M)$600
Spans (1B × $0.60/M)$600
Logs (500M × $0.60/M)$300
Total monthly cost~$1,500
* Illustrative volumes; scales up or down with what you emit

Coroot's cost tracks your infrastructure size; Dash0's tracks your telemetry volume

* Dash0 rates from dash0.com/pricing, observed June 2026: $0.20 per million metric data points, $0.60 per million spans, and $0.60 per million log records, with no base fee or per-seat charges. The Dash0 figures above use illustrative telemetry volumes - actual cost depends entirely on how much you emit, cardinality, and sampling, and can be lowered with spam filters. For low-telemetry environments Dash0's pay-as-you-go can be cheaper; for high-volume environments Coroot's flat per-core model is more predictable. Coroot's $400 includes infrastructure for ClickHouse and Prometheus, with 10x compression keeping storage low. Actual costs vary with usage patterns and cloud provider pricing.

When to Choose Each Platform

Both are modern, OpenTelemetry-friendly platforms - the right choice depends on your priorities

Choose Coroot If:

You want zero-code instrumentation

eBPF captures metrics, traces, logs, and network flows without OpenTelemetry SDKs

You need self-hosted or air-gapped

Open-source, on-prem, and full data ownership for regulated or sovereign environments

Explore enterprise deployment →

You want volume-independent pricing

Flat per-CPU core cost that stays predictable as telemetry grows

You want profiling and cost monitoring built in

Continuous profiling and cloud cost tracking included, not on a roadmap

You need deep database monitoring

Postgres, MySQL, MongoDB, and Redis insights integrated with root cause analysis

Choose Dash0 If:

You want a pure OpenTelemetry stack

OTLP ingest, PromQL, and Perses dashboards with open standards and low lock-in

You prefer fully managed SaaS

No infrastructure to run, with EU or US data residency on AWS

You need RUM and synthetic monitoring

Frontend Real User Monitoring and synthetic checks that Coroot does not offer

You have low or variable telemetry volume

Pay-as-you-go per signal with no base fee can be cost-effective at smaller scale

You already instrument with OpenTelemetry

Existing OTel SDKs and collectors drop straight into Dash0

Ready to experience the difference?

Join engineering teams who get full-stack observability in minutes with eBPF, automated root cause analysis, and predictable pricing.

✓ 14-day trial ✓ No credit card required ✓ Full feature access