Grafana is a powerful visualization layer, but building a full observability stack means configuring and maintaining Loki, Tempo, Mimir, and Prometheus separately — each with its own query language, scaling model, and failure modes. Maple gives you a unified platform where traces, logs, and metrics work together out of the box.
Replace Loki, Tempo, Mimir, Prometheus, and Grafana with one platform
Visual query builder instead of PromQL, LogQL, and TraceQL
From OTel Collector config to seeing traces, logs, and metrics
Managing separate backends for Loki, Tempo, Mimir, and Prometheus
One unified platform handles traces, logs, and metrics. No stack to assemble or maintain.
Hours of configuration before you can ingest your first trace
Point your OTel Collector at Maple and start seeing data in minutes. Zero configuration required.
Learning PromQL, LogQL, and TraceQL — three different query languages
A single, intuitive query interface across all signal types. No query language fragmentation.
Scaling each backend independently with different resource requirements
Maple scales as one system. Built on ClickHouse for high-throughput ingestion and fast queries at any scale.
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.
If you're already using the OpenTelemetry Collector with Grafana backends, just change the OTLP exporter endpoint to Maple. Your instrumentation stays the same.
Recreate your Grafana dashboards using Maple's drag-and-drop dashboard builder. Most teams find the setup faster since data sources are pre-connected.
Once verified, shut down Loki, Tempo, Mimir, and Prometheus. You've just replaced five services with one.
Drag the sliders to match your usage and see how the costs compare.
That's 90% less than Grafana Cloud — or $4.4k/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 ($29/mo with 300 GB total included data).
Start sending traces, logs, and metrics in under five minutes.
maple.dev — observability, simplified