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Maple vs New Relic

New Relic charges per seat and per GB, locking observability access behind per-user pricing. Its core platform is closed source, and switching away means rewriting your instrumentation. Maple gives you the same full-stack observability with transparent usage-based pricing, unlimited seats, and a open-source codebase under FSL-1.1 you can self-host.

$0
Per-seat cost

Unlimited team members — no per-user fees to limit observability access

100%
Open source

Inspect every line of code. No black-box data processing

0
Proprietary agents

Pure OpenTelemetry — no vendor-specific agents to install or maintain

Feature Maple New Relic
Core Observability
Distributed tracing
Log management
Metrics & dashboards
Custom dashboards
Alerting
Platform & Architecture
OpenTelemetry native
Open source
Self-hosting available
No vendor lock-in
AI / MCP integration
API-first design
Pricing & Access
Pricing model
Usage-based, transparent
Per-seat + per-GB
Team seats included
Unlimited
Per-seat pricing
Setup time
Minutes
Moderate
Proprietary agents required
Data retention control
Common challenges

Problems with New Relic that Maple solves

New Relic

Per-seat pricing limits observability access to a few engineers

Maple

Unlimited team seats included. Every engineer, on-call responder, and manager gets access.

New Relic

Closed-source platform means no visibility into how your data is processed

Maple

Maple's source is available under FSL-1.1. Audit the code, understand the data pipeline, and contribute back.

New Relic

Vendor lock-in through proprietary agents and NRQL query language

Maple

Built on OpenTelemetry standards. Your instrumentation and data remain portable to any OTel backend.

New Relic

No option to self-host or meet data residency requirements on your own terms

Maple

Self-host Maple on your own infrastructure for complete control over data storage and compliance.

Why choose Maple

Key advantages over New Relic

No per-seat pricing

Add as many team members as you need. Maple charges based on data volume, not how many engineers need access to observability.

Open source

Every line of code is on GitHub. Audit the platform, contribute improvements, and never worry about what happens behind closed doors.

OpenTelemetry native

No proprietary agents required. Maple is built on OpenTelemetry standards, so your existing instrumentation works without modification.

AI & MCP integration

AI-powered diagnostics and MCP tool integration help you find root causes faster with automated analysis workflows.

Self-hosting option

Run Maple on your own infrastructure for full data sovereignty. Keep sensitive telemetry data within your network.

No vendor lock-in

Built entirely on open standards. Your instrumentation, your data formats, and your export pipelines remain portable.

Migration

Switch from New Relic in minutes

01

Switch from New Relic agents to OpenTelemetry

Replace New Relic's proprietary agents with OpenTelemetry SDKs. OTel provides the same auto-instrumentation for popular frameworks and languages.

02

Point OTLP exports to Maple

Configure your OpenTelemetry Collector or SDK to export to Maple's OTLP endpoint. You can dual-ship to both New Relic and Maple during the transition.

03

Set up dashboards and alerts

Build your monitoring views in Maple's dashboard builder. Set up alerting rules to match your existing New Relic alert policies.

Pricing

Estimated monthly cost: Maple vs New Relic

Drag the sliders to match your usage and see how the costs compare.

Adjust your usage
10 users
300 GB/mo
MapleRecommended
$39/mo
Startup plan$39
Team seatsFree
300 GB included
Unlimited — always free
New Relic
$351/mo
Full platform users$291
Data ingestion$60
10 users × $29/mo (annual)
300 GB (100 GB free)
Save $312/month

That's 89% less than New Relic — or $3.7k/year back in your budget.

Start free trial

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).

FAQ

Frequently asked questions

Is Maple a full replacement for New Relic?
Maple covers the core observability features: distributed tracing, log management, metrics dashboards, alerting, and AI-powered diagnostics. If you're using New Relic primarily for APM, logs, and infrastructure monitoring, Maple handles those use cases. Advanced New Relic features like Browser Monitoring and Synthetics are not yet available.
How much can I save by switching from New Relic to Maple?
Savings depend on your team size and data volume. New Relic charges per full-platform user (and per GB of data beyond the free tier). Maple charges only for data volume with unlimited seats — so the more engineers you have, the more you save. Teams with 10+ users typically see significant reductions.
Does Maple support NRQL or a similar query language?
Maple provides a visual query builder and search interface instead of a proprietary query language like NRQL. This means no learning curve and no lock-in to a vendor-specific syntax. For advanced queries, you can use the API.
Can I run New Relic and Maple side by side during migration?
Yes. Dual-ship your telemetry data by configuring the OpenTelemetry Collector to export to both New Relic and Maple simultaneously. Verify your data in Maple, then decommission New Relic when ready.
Is Maple open source? Can I self-host it?
Yes to both. Maple's source is available under FSL-1.1. You can self-host it on your own infrastructure for complete data sovereignty, or use the hosted cloud version at app.maple.dev.
How does Maple's AI compare to New Relic AI?
Maple includes AI-powered diagnostics and an MCP (Model Context Protocol) integration that lets AI agents query your observability data directly. This enables automated root cause analysis and conversational debugging that integrates with your existing AI workflow tools.
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