BurnRate vs Maple: Which is Better in 2026?
A comprehensive comparison of BurnRate and Maple covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose BurnRate if:
- →You want more affordable paid plans (from $12/mo)
- →You need a broader feature set (7 features vs 5)
- →You need per-subagent cost attribution for agents that spawn other agents or coverage across seven ai providers
Choose Maple if:
- →You need traces, logs, metrics and session replay sharing one trace id and one session id or mcp server, ai chat and ai error triage included on the plan
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BurnRate vs Maple: At a Glance
Pricing Comparison: BurnRate vs Maple
Understanding the pricing differences between BurnRate and Maple is crucial for making the right choice. Here's how their plans compare side by side.
BurnRate Pricing
Maple Pricing
💡 Pricing takeaway: Both BurnRate and Maple offer free tiers, making it easy to try before you buy. Compare the specific plans to find the best value for your use case.
Feature-by-Feature Comparison
Here's how every feature from BurnRate and Maple stacks up.
What Makes Each Tool Unique
🔵 Unique to BurnRate
Features available in BurnRate but not in Maple:
- ✓Per-subagent cost attribution for agents that spawn other agents
- ✓Coverage across seven AI providers
- ✓Local-first download rather than a hosted telemetry pipeline
- ✓Nine analytics tabs on Pro, three on Free
- ✓Optimisation engine with more than twenty rules
- ✓Model recommendations and operation-level cost breakdown
- ✓Team-wide cost management on the Team tier
🟣 Unique to Maple
Features available in Maple but not in BurnRate:
- ✓Traces, logs, metrics and session replay sharing one trace id and one session id
- ✓MCP server, AI chat and AI error triage included on the plan
- ✓Open source on GitHub, with Maple Local shipping the platform as one binary
- ✓No per-host, per-seat or per-query charges; unlimited seats and dashboards
- ✓Alerts carry the service, threshold and sample traces, routable to Slack, Discord, PagerDuty or a webhook
Use Case Recommendations
Best for: BurnRate
BurnRate is cost observability for AI coding tools, and its specific insight is subagent visibility. When Claude Code or a similar agent spawns subagents, the spend fragments across processes that no provider dashboard attributes back to the task that caused them — BurnRate surfaces every subagent that gets spawned and tracks per-agent cost across seven providers. That is a genuinely different measurement problem from generic LLM cost tracking, and it is the number engineering managers cannot currently get. The tool is local-first: you download and run it, and the free tier works without a credit card, which matters because the alternative is piping your development telemetry to a third party. The free plan gives a basic analytics dashboard with overview, sessions and costs tabs, support for three providers and 30 days of history — enough to see whether your spend has the shape you assumed. Pro unlocks the full analytics surface of nine tabs plus an optimisation engine with more than twenty rules, model recommendations and operation-level cost breakdown, at a price the company frames against an average saving of $50-plus a month. Team and Enterprise tiers extend to team-wide cost management. Around the product sits a content operation — a 2026 cost report, a five-day email course on cutting AI costs, a blog and an AI spend audit consulting offer — which suggests the company is monetising the expertise as well as the tool.
Ideal use cases:
- •Teams or individuals who need per-subagent cost attribution for agents that spawn other agents
- •Teams or individuals who need coverage across seven ai providers
- •Teams or individuals who need local-first download rather than a hosted telemetry pipeline
- •Teams or individuals who need nine analytics tabs on pro, three on free
- •Anyone focused on cost-tracking workflows
- •Anyone focused on observability workflows
Best for: Maple
Maple is open-source observability — traces, logs and metrics over OpenTelemetry, stored in ClickHouse — built around the claim that the incident workflow should not require stitching four tools together. Every signal shares one trace id, so an alert arrives carrying the service, the threshold it broke and sample traces rather than a number and a shrug, and from there you move between the span tree, the structured logs, the browser session replay and the metrics without changing tools or losing the thread. Session replay is genuinely integrated rather than bolted on: every click, route change, console line and failed request is captured, and the replay and the spans share a session id, so a user-reported bug resolves to the exact backend trace. The AI surface is native rather than decorative — an MCP server ships on the plan, alongside AI chat and AI error triage, so an agent can query billions of rows itself instead of a human writing the query. The pricing model is the sharpest thing about it: usage-based with no per-host, no per-seat and no per-query charge, which the cost calculator on the site uses to argue an 85% saving against Datadog at a representative volume. Everything is on GitHub, and Maple Local ships the whole platform as a single binary. Two constraints: retention is 30 days on the Startup plan, and a card is required to start the 14-day trial.
Ideal use cases:
- •Teams or individuals who need traces, logs, metrics and session replay sharing one trace id and one session id
- •Teams or individuals who need mcp server, ai chat and ai error triage included on the plan
- •Teams or individuals who need open source on github, with maple local shipping the platform as one binary
- •Teams or individuals who need no per-host, per-seat or per-query charges; unlimited seats and dashboards
- •Anyone focused on observability workflows
- •Anyone focused on opentelemetry workflows
📊 Other Analytics & BI Tools to Consider
BurnRate and Maple aren't the only options. Here are other popular tools in the same space:
Amplitude
Product analytics platform with AI insights, funnels & retention analysis for PLG teams
Mixpanel
Event-based product analytics with AI insights and self-serve exploration
Chartsy
Chat-driven MRR, churn, and LTV analytics on top of your Stripe or Paddle data
Fusionaly
Self-hosted, ad-block-proof web analytics in one SQLite file and one Docker container, with a plain-language daily digest and optional natural-language querying via your own key.
Repohistory
Stores GitHub repository traffic past the 14-day retention limit GitHub enforces, with charted long-run analytics, org-wide overview and data export.
Trifle
Time-series product metrics that write into your existing database, with an MCP surface for AI agents
Is one of these your tool?
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Frequently Asked Questions
Is BurnRate better than Maple?
It depends on your needs. BurnRate offers 7 key features including Per-subagent cost attribution for agents that spawn other agents and Coverage across seven AI providers, while Maple provides 5 features including Traces, logs, metrics and session replay sharing one trace id and one session id and MCP server, AI chat and AI error triage included on the plan. BurnRate uses a freemium model with a free tier, while Maple is paid with free access available. Choose based on which features and pricing model align with your requirements.
Is BurnRate cheaper than Maple?
BurnRate is cheaper, starting at $12/month compared to Maple's $39/month. Both tools offer free tiers, so you can try each before committing. Always check the official websites for the most current pricing.
Can I use BurnRate and Maple together?
Yes, many users combine BurnRate and Maple in their workflow. BurnRate excels at per-subagent cost attribution for agents that spawn other agents, while Maple shines with traces, logs, metrics and session replay sharing one trace id and one session id. Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.
What's the main difference between BurnRate and Maple?
While both are analytics & bi tools, BurnRate emphasizes per-subagent cost attribution for agents that spawn other agents, whereas Maple is known for traces, logs, metrics and session replay sharing one trace id and one session id. The best choice depends on your specific workflow and feature priorities.
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