Datadog is powerful but comes with per-host pricing and proprietary agents. Maple covers distributed tracing, logs, and metrics with a flat per-GB rate, native OpenTelemetry ingest, and source you can read and self-host.
From zero to ingesting traces, logs, and metrics with OpenTelemetry
FSL-1.1, converting to Apache 2.0 — audit it, fork it, self-host it
No per-seat pricing on any plan — every engineer gets access
Unpredictable billing that spikes with traffic
Transparent usage-based pricing — you always know what you'll pay before you scale.
Proprietary agent lock-in ties your instrumentation to one vendor
100% OpenTelemetry native. Your instrumentation is portable and vendor-neutral.
Complex pricing tiers across hosts, containers, custom metrics, and log volume
One simple pricing model based on data volume. No per-host fees, no hidden surcharges.
No option to self-host or keep data within your own infrastructure
Self-host Maple on your own infrastructure for full data sovereignty and compliance.
Simple usage-based pricing with no per-host fees, no hidden costs, and no surprise bills at the end of the month.
Built on OpenTelemetry from the start. No proprietary agents to install or maintain — the OTel instrumentation you already have points straight at Maple.
Diagnose issues faster with AI-powered root cause analysis and MCP tool integration for automated observability workflows.
The source is on GitHub under FSL-1.1, converting to Apache 2.0 over time. Inspect every line, contribute features, and see exactly how your data is handled.
Your data stays in open formats. Switch providers or self-host at any time — your instrumentation never needs to change.
Run Maple on your own infrastructure for complete data sovereignty, compliance, and cost control.
If you already use OpenTelemetry SDKs alongside the Datadog agent, just point the OTLP exporter to Maple. No code changes needed for OTel-instrumented services.
Swap the proprietary Datadog agent for the open-source OpenTelemetry Collector. Configure it to export to Maple's OTLP endpoint.
Use Maple's dashboard builder and alerting system to recreate your monitoring views. AI-assisted setup helps you get started faster.
Drag the sliders to match your usage and see how the costs compare.
That's 93% less than Datadog — or $6.4k/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 ($39/mo with 300 GB total included data, then $0.30/GB).
Add the SDK, point OTLP at Maple, and watch traces arrive — most setups take under five minutes.
maple.dev — observability on OpenTelemetry