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Maple vs Datadog

Datadog is powerful but comes with complex per-host pricing and proprietary agents. Maple delivers the same distributed tracing, logs, and metrics with transparent usage-based pricing, native OpenTelemetry support, and zero vendor lock-in.

Feature Maple Datadog
Pricing model
Usage-based, transparent
Complex per-host + per-GB
Open source
OpenTelemetry native
Distributed tracing
Log management
Metrics & dashboards
AI / MCP integration
Self-hosting available
No vendor lock-in
Custom dashboards
Alerting
Why choose Maple

Key advantages over Datadog

Transparent pricing

Simple usage-based pricing with no per-host fees, no hidden costs, and no surprise bills at the end of the month.

OpenTelemetry native

Built from the ground up on OpenTelemetry standards. No proprietary agents to install or maintain — use the instrumentation you already have.

AI & MCP integration

Diagnose issues faster with AI-powered root cause analysis and MCP tool integration for automated observability workflows.

Open source

Inspect every line of code, contribute features, and trust that your observability platform has no black boxes.

No vendor lock-in

Your data stays in open formats. Switch providers or self-host at any time — your instrumentation never needs to change.

Self-hosting available

Run Maple on your own infrastructure for complete data sovereignty, compliance, and cost control.

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