Dash0 and Maple are both OpenTelemetry-native with transparent usage-based pricing and no per-seat fees. The difference is ownership: Maple is open source and self-hostable, so you can run it on your own infrastructure — including your own ClickHouse — for full data sovereignty and retention control, instead of a closed SaaS backend.
Source-available under FSL-1.1 — audit, contribute, and self-host freely
Both are OTLP-native — just re-point your OTel Collector exporter
Run Maple on your own infrastructure, including your own ClickHouse — Dash0 is SaaS-only
Closed-source SaaS backend — no way to audit how your telemetry is processed
Maple's source is available under FSL-1.1. Inspect every line, contribute features, and trust there are no black boxes.
No self-hosting option — your telemetry has to live in Dash0's cloud
Self-host Maple on your own infrastructure to meet data residency and compliance requirements and keep telemetry inside your own perimeter.
Fixed retention windows you can't tune to your own needs
Self-hosting puts you in control of retention and storage — keep data as long as your compliance and debugging workflows require.
SaaS-only means an ongoing subscription with no escape hatch
Run Maple on infrastructure you already own to eliminate per-data SaaS fees — or use the hosted version when you'd rather not operate it.
Maple's source is available under the Functional Source License (FSL-1.1) — inspect every line, contribute features, and trust there are no black boxes. Dash0's backend is closed-source SaaS.
Run Maple on your own infrastructure for data residency and compliance. Dash0 is SaaS-only, so your telemetry has to live in their cloud.
Self-hosting puts you in control of retention and storage — keep data as long as your compliance and debugging workflows require, instead of fixed SaaS windows.
Keep telemetry inside your own infrastructure for sovereignty and compliance — no third-party cloud sees your data unless you choose the hosted version.
Maple's query engine speaks ClickHouse, so a self-hosted deployment can run on a ClickHouse instance you operate and scale yourself.
Both platforms ingest standard OTLP, so moving your telemetry is just re-pointing your OpenTelemetry Collector exporter — no instrumentation changes. (Dashboards and alerts are recreated in Maple.)
Both Dash0 and Maple ingest standard OTLP, so your existing SDKs, auto-instrumentation, and semantic conventions carry over unchanged. Nothing to rewrite.
Change the OTLP exporter endpoint from Dash0 to Maple — or dual-ship to both during the transition to verify your data lands correctly.
Rebuild your monitoring views in Maple's dashboard builder and set up alerting rules. AI-assisted setup helps you get there faster.
Drag the sliders to match your usage and see how the costs compare.
That's 82% less than Dash0 — or $2.2k/year back in your budget.
Estimates based on published pricing as of 2025. Actual costs may vary based on contract terms, volume discounts, and additional features. Maple pricing based on the Startup plan ($29/mo with 300 GB total included data). Dash0 bills per data point (spans & logs $0.60/M, metrics $0.20/M); Maple bills per GB, so the Maple estimate converts data points to volume at roughly 1 KB per span and log record and 0.1 KB per metric data point. Your real ratio depends on attribute and payload sizes.
Start sending traces, logs, and metrics in under five minutes.
maple.dev — observability, simplified