Maple vs Scout Monitoring

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Maple compared with Scout Monitoring
Detail	Maple	Scout Monitoring
What it does	Open source observability built on OpenTelemetry	Application performance monitoring with integrated error tracking, log management, and traces for AI-assisted development
Stage	Not given	Established
Founded	Not given	Not given
Based in	US	Not given
Pricing model	Freemium	Freemium
Pricing	Startup: $39/month with 100 GB per signal (logs, traces, metrics), then $0.30/GB. Browser sessions: 5,000 included, then $0.002/session. Product events: 1M included, then $5/1M. AI usage: $10/month included, then billed per model by tokens used. 14-day free trial available. Enterprise plans availabl	Free: $0/month (300K transactions, 5k errors, 1 GB logs, 1 endpoint anomaly detection). Startup: $19/month (600K transactions, 5k errors, 1 GB logs, 10 endpoints anomaly detection). Small: $39/month (1.2M transactions, 5k errors, 1 GB logs, 10 endpoints anomaly detection). Production Ready: $64/mont
Key features	Distributed tracing with service map Log search with structured filtering Metrics dashboards and visualization Error tracking with issue grouping Session replay for browsers and mobile apps Kubernetes monitoring and Helm chart Alerting with multiple destinations AI agent integration via MCP server Web analytics and product event tracking	Error monitoring with integrated APM context Code-level request tracing to pinpoint bottlenecks Automatic N+1 query detection Log management with trace context Automatic anomaly detection on endpoints MCP server for AI coding agents Performance alerting on Slack, PagerDuty, Discord, email Real-time performance dashboards and metrics Slow query and database performance analysis Scout CLI and REST API access
What makes it different	No proprietary agents - uses standard OpenTelemetry with no vendor lock-in Open source with FSL-1.1 license converting to Apache 2.0 after two years Single plan with predictable usage-based pricing and no per-seat or per-host fees AI agent integration with Model Context Protocol for automation	Integrated errors, logs, and traces in one platform without separate tools Built-in support for AI coding assistants via MCP server and CLI Transaction-based pricing with no per-seat fees or hidden costs Automatic performance overhead less than 2% with minimal configuration Simple setup in minutes without complex configuration
Community votes	0	0
DR (Domain Rating by Ahrefs)	44 +1 (up) since last check	72 −1 (down) since last check
Trust Flow (Majestic)	5	33
Citation Flow (Majestic)	30	45
Referring domains (Majestic)	88	1423

5 details filled in for both companies.

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