Predictable, usage‑based pricing.
One plan at $39/month with 100 GB of logs, traces and metrics each, then a flat $0.30/GB. Nothing is metered by seat, host or query, and this page and your invoice show the same numbers.
- No per-seat pricing
- No per-host pricing
- No per-series pricing for metrics
The rates
30-day retention on every signal. Metrics are metered by volume like everything else, so high-cardinality series cost what they weigh, not what they count.
Compare
The same volume, priced by another vendor
Slide the vendor's own sliders to a matching volume and compare their published list price with what Maple bills for the same data.
That's 85% less than Datadog — or $5.8k/year back in your budget.
Estimates based on published pricing as of August 2026. Actual costs may vary based on contract terms, volume discounts, and additional features. 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. Trace volume is estimated at ~25 GB of spans per APM host per month, and Datadog log indexing assumes ~1 KB per event with ~15% of events indexed; actual volumes depend on request rate and instrumentation density.
Everything is included.
Free for 14 days · Cancel anytime · Card required to start
30-day retention · Private support channel · Unlimited dashboards · Advanced alerting · MCP server · AI chat · AI error triaging · Full API access
Estimate your bill →Higher volume, custom retention, priority support.
What it works with
Every language, every signal, every place you already are.
Maple takes OTLP straight in, so anything OpenTelemetry can instrument is covered. Official SDKs, integrations and alert channels on top.
APM & tracing
Auto-instrument with an official Maple SDK, or point any OpenTelemetry SDK at the ingest endpoint.
- Effect
- Node.js
- Next.js
- Python
- Go
- Rust
- Java
- C#
- Kotlin
- Laravel
Frontend & mobile
Session replay, web analytics and product events from the browser SDK; traces and crashes from the Swift SDK.
- Browser
- iOS
Logs & infrastructure
Logs ride the same OTLP pipeline as traces. Kubernetes ships as a Helm chart; containers, Prometheus endpoints and Cloudflare come with their own collectors.
- OTel Collector
- Kubernetes
- Docker
- Prometheus
- Cloudflare
Cloud & data sources
Connect a provider with one OAuth grant and its metrics, logs and deploys land next to your spans.
- Cloudflare
- PlanetScale
- GitHub
- WarpStream
- Hazel
Alert destinations
Every rule routes to where you already are, with queued delivery and every provider response kept on the record.
- Slack
- PagerDuty
- Discord
- Telegram
- Webhooks
- Hazel
AI agents
One MCP endpoint over Streamable HTTP, with API keys or OAuth. Any client that speaks MCP can list services, search traces and propose fixes.
- Claude Code
- Cursor
- Any MCP client
Maple accepts OTLP from any language or framework OpenTelemetry supports. If it can emit OTLP, Maple can store it, query it and alert on it.
Ways to run Maple
Pick where it runs. The product is the same.
Every option is the same platform: the same UI, query engine, alerts and MCP server. What changes is who operates it and where the data lives.
One binary on your machine: OTLP ingest, an embedded database and the dashboard on 127.0.0.1. No account, no cloud, no rate limits.
You're developing or debugging on a laptop or in CI.
Run the source under FSL-1.1 on your own infrastructure. Retention and residency are your call, not a fixed window.
Telemetry can't leave your network.
Managed by us, metered per signal, 30-day retention, every feature on. Starts with a 14-day free trial.
You'd rather not operate observability.
Higher volume, custom retention, priority support, and the option to run in your own cloud account.
There's a compliance review or a volume that needs a quote.