BurnRate vs Porter: Which is Better in 2026?
A comprehensive comparison of BurnRate and Porter 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 6)
- →You need per-subagent cost attribution for agents that spawn other agents or coverage across seven ai providers
Choose Porter if:
- →You need 20+ marketing data source connectors or destinations: looker studio, google sheets, power bi and bigquery
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BurnRate vs Porter: At a Glance
Pricing Comparison: BurnRate vs Porter
Understanding the pricing differences between BurnRate and Porter is crucial for making the right choice. Here's how their plans compare side by side.
BurnRate Pricing
Porter Pricing
💡 Pricing takeaway: Both BurnRate and Porter 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 Porter stacks up.
What Makes Each Tool Unique
🔵 Unique to BurnRate
Features available in BurnRate but not in Porter:
- ✓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 Porter
Features available in Porter but not in BurnRate:
- ✓20+ marketing data source connectors
- ✓Destinations: Looker Studio, Google Sheets, Power BI and BigQuery
- ✓Automatic data blending across all connected sources
- ✓AI query builder with alerts and notifications on every plan
- ✓Unlimited users, reports and historical data
- ✓Per-account pricing that falls steeply with volume
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: Porter
Porter is a no-code marketing data platform that pulls performance metrics out of more than twenty advertising, social and analytics sources and lands them in the places reporting actually happens: Looker Studio, Google Sheets, Power BI and, newly, BigQuery. The problem it addresses is not visualisation but plumbing — every ad platform has its own schema, its own metric names and its own idea of what a conversion is, and reconciling them by hand is where agency reporting time disappears. Porter blends across sources automatically, supports custom fields and scheduled refreshes, and ships templates so a client report is a starting point rather than a build. The AI layer is a query builder plus alerts and notifications, and it is included on all plans rather than gated as a premium tier. The pricing model is the unusual part and is worth understanding before comparing it to anything else: you pay per connected data source account — an ad account, a property, a business profile, a store account, or ten locations counted as one — not per seat and not per report. Users, reports and historical data are unlimited on every plan. The per-account rate falls sharply with volume, from $15 down to a couple of dollars at high counts, which makes it markedly cheaper for agencies with many small clients than per-seat competitors. There is a free-forever plan, a 14-day unlimited trial, free implementation and a proof of concept. The site is available in English, Spanish and Portuguese.
Ideal use cases:
- •Teams or individuals who need 20+ marketing data source connectors
- •Teams or individuals who need destinations: looker studio, google sheets, power bi and bigquery
- •Teams or individuals who need automatic data blending across all connected sources
- •Teams or individuals who need ai query builder with alerts and notifications on every plan
- •Anyone focused on marketing-analytics workflows
- •Anyone focused on looker-studio workflows
📊 Other Analytics & BI Tools to Consider
BurnRate and Porter 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 Porter?
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 Porter provides 6 features including 20+ marketing data source connectors and Destinations: Looker Studio, Google Sheets, Power BI and BigQuery. BurnRate uses a freemium model with a free tier, while Porter is freemium with free access available. Choose based on which features and pricing model align with your requirements.
Is BurnRate cheaper than Porter?
BurnRate is cheaper, starting at $12/month compared to Porter's $15/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 Porter together?
Yes, many users combine BurnRate and Porter in their workflow. BurnRate excels at per-subagent cost attribution for agents that spawn other agents, while Porter shines with 20+ marketing data source connectors. 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 Porter?
While both are analytics & bi tools, BurnRate emphasizes per-subagent cost attribution for agents that spawn other agents, whereas Porter is known for 20+ marketing data source connectors. The best choice depends on your specific workflow and feature priorities.
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