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Maple vs Dash0

Dash0 and Maple start from the same place: OpenTelemetry in, usage-based pricing, no per-seat fees for observability, an MCP server for agents. The difference is ownership: Maple is open source and you can self-host it, while Dash0 is a closed SaaS.

Maple
maple.dev
Dash0
dash0.com

Differences

Where Maple and Dash0 differ

The marker beside each row shows which tool is ahead on it. Rows where both do the same thing are grouped into one line at the end.

Where Maple and Dash0 differ
Topic Maple Dash0 Edge
Where they differ
Source code On GitHub under FSL-1.1, converting to Apache 2.0 two years after each release. Closed. Dash0 open-sources its OpenTelemetry distribution and Kubernetes operator, not the platform. 2 Maple
Self-hosting Yes. Run the whole platform on your own infrastructure, including your own ClickHouse. No. SaaS only, in Dash0-operated regions. Maple
Pricing model $39 a month with 100 GB per signal included, then $0.30 per GB. Per data point: $0.60 per million spans or log records ($0.06 ingestion plus $0.54 storage at 30-day retention) and $0.20 per million metric data points ($0.02 plus $0.18 at 13-month retention). 1 Even
AI and agents Built-in diagnostics plus a hosted MCP server. An MCP server and AI-assisted views. Even
Where Dash0 is ahead
Retention 30 days on the cloud plan, longer on Enterprise, and your call when you self-host. 30 days for spans, logs and web events and 13 months for metrics, included in the storage rate. 1 Dash0
Synthetic monitoring Not available. Alerts evaluate real traffic only. Synthetic API checks at $0.20 per thousand runs, retained 13 months. 1 Dash0
PromQL compatibility No PromQL. Visual builder and SQL. PromQL for metrics and Perses-based dashboards-as-code. 3 Dash0
Kubernetes tooling Kubernetes monitoring through the OpenTelemetry Collector. No operator of Maple's own. A Kubernetes operator and an OpenTelemetry distribution, both maintained in the open. 2 Dash0
Both have
  • Distributed tracing
  • Log management
  • Metrics and dashboards
  • Alerting
  • Error tracking
  • Kubernetes monitoring
  • Public API
  • MCP server for agents
  • OpenTelemetry ingest

Price

The same month, billed twice

A reference workload priced on both at list price. Change the sliders underneath for your own numbers.

Reference workload Spans / mo 100 M · Log records / mo 100 M · Metric data points / mo 500 M

Maple

$39 per month

Startup plan 100 GB per signal included $39
Team seats No per-seat fees Free
Total $39

Dash0

$220 per month

Spans 100M × $0.60/M $60
Logs 100M × $0.60/M $60
Metrics 500M × $0.20/M $100
Total $220

$181 less per month on Maple · $2.2k a year

Adjust for your usage

100 M
100 M
500 M
Maple
$39/mo
Dash0
$220/mo
Difference
$181 less per month on Maple$2.2k a year · 82% less

List prices checked September 2026. Sources at the foot of the page. Maple pricing based on the Startup plan ($39/mo with 100 GB included per signal (logs, traces, metrics), then $0.30/GB, billed per signal), metered on uncompressed (decoded OTLP) bytes. Dash0 bills per data point, ingestion plus storage at the default retention. The Maple estimate converts at 1 KB per span or log record and 0.1 KB per metric data point; your ratio depends on attribute sizes.

Migration

Moving from Dash0

Telemetry moves with one exporter change. Dashboards and alert rules don't cross vendors, so plan those as the real work.

  1. 01

    Keep your OpenTelemetry pipeline

    Both platforms ingest standard OTLP, so SDKs, auto-instrumentation and semantic conventions carry over unchanged.

  2. 02

    Add a second exporter

    Add Maple next to the Dash0 exporter in the Collector and ship to both while you verify.

  3. 03

    Recreate dashboards and alerts

    Dashboards, saved views and alert rules don't travel over OTLP. Rebuild the ones that matter in Maple; the MCP server can draft them.

otel-collector.yaml The change
exporters:  otlp/dash0:    endpoint: ingress.eu-west-1.aws.dash0.com:4317    headers:      Authorization: Bearer ${env:DASH0_AUTH_TOKEN}  otlphttp/maple:    endpoint: https://ingest.maple.dev    headers:      x-maple-ingest-key: ${env:MAPLE_INGEST_KEY} service:  pipelines:    traces:      exporters: [otlp/dash0, otlphttp/maple]    logs:      exporters: [otlp/dash0, otlphttp/maple]    metrics:      exporters: [otlp/dash0, otlphttp/maple]
Add Maple as a second exporter, run both, then drop the first.
FAQ

Common questions

How is Maple different from Dash0?
The fundamentals match: both are OpenTelemetry-native, both price on usage with no per-seat fee for observability, both expose an MCP server. The difference is ownership. Maple is open source under FSL-1.1 and self-hostable on your own infrastructure with retention you control. Dash0 is a closed, SaaS-only backend.
Is there an open-source alternative to Dash0?
Yes. Maple is open source on GitHub under FSL-1.1, converting to Apache 2.0, and you can self-host the whole platform, including your own ClickHouse. Dash0 open-sources client-side tooling, its OpenTelemetry distribution and Kubernetes operator, but not the platform, and offers no self-hosting.
How hard is the migration?
The pipeline is one exporter change: both platforms ingest standard OTLP. Dashboards, saved views and alert rules don't transfer, so plan to recreate those.
How does the pricing compare?
Both are usage-based with no per-seat fee for observability. Dash0 bills per data point; Maple bills per GB of decoded OTLP. Which is cheaper depends on how large your spans and log records are. The receipts above convert at one kilobyte per span or log record and 0.1 KB per metric data point; the calculator lets you change the counts.
Does Dash0 have anything Maple doesn't?
PromQL for metrics, Perses dashboards-as-code, synthetic API checks, and a vendor-maintained Kubernetes operator and OpenTelemetry distribution. Those rows are marked above.

Sources

Where the Dash0 claims come from

Vendor facts on this page link to the vendor's own pages and carry the month they were last checked. If one is stale, tell us.

  1. 1 Dash0 pricing checked September 2026
  2. 2 Dash0 on GitHub checked August 2026
  3. 3 Dash0 documentation checked August 2026

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