Grafana is a great visualization layer, but building a full observability stack means configuring and maintaining Loki, Tempo, Mimir, and Prometheus separately. Maple gives you a unified platform where traces, logs, and metrics work together out of the box.
No need to juggle Loki for logs, Tempo for traces, and Mimir for metrics. Maple combines all three signals in a single, cohesive platform.
Deploy one service instead of managing multiple data stores, each with their own scaling and configuration requirements.
Built-in AI-powered diagnostics and MCP tool integration for automated root cause analysis — not available in the Grafana stack.
Purpose-built for OpenTelemetry from day one. No adapters, no translation layers, no compatibility surprises.
Alerting is integrated into the platform, not bolted on as a separate component that needs its own configuration.
Start ingesting data in minutes. No PromQL to learn, no storage backends to tune, no data source connections to wire up.