Software comparison - Hosting Platforms
Fly.io vs Heroku: 2026 Comparison
Fly.io and Heroku are both modern app platforms, each with distinct trade-offs. Fly.io prioritizes geographic distribution and per-second pricing, rewarding lean, always-on services; Heroku emphasizes instant deployment and integrated add-ons, favoring teams that trade cost for setup speed. Pick based on traffic pattern, team skill, and infrastructure budget. [startup ideas](/resources/startup-ideas) to see them in action.
Comparison dimensions
DX & Deploys
Fly.io: Fly.io's CLI-driven workflow and Docker-native deployment suit teams already comfortable with containers; the learning curve is gentler if you're not starting from zero.
Heroku: Heroku's git push deploy and web dashboard minimize infrastructure friction, letting Node and Python teams launch without touching Docker or Terraform.
Performance
Fly.io: Fly.io's edge network places VMs near users in 30+ regions, cutting latency for geographic workloads and serving real-time applications with sub-50ms response times.
Heroku: Heroku's US-based data centers are sufficient for domestic audiences and traditional web services, though international requests incur cross-ocean latency.
Pricing
Fly.io: Fly.io charges by compute time and storage used (no idle fees after 3 free shared-cpu machines), rewarding lean code and scheduled workloads.
Heroku: Heroku's dyno-hour pricing is predictable but unforgiving for idle services; a single standard dyno costs $50/month always-on, with no sub-second granularity.
Scaling
Fly.io: Fly.io scales horizontally across regions and vertically per-machine, with built-in load balancing and automatic failover for resilient architecture.
Heroku: Heroku's scaling is straightforward (add dynos) but costs accumulate per dyno; teams frequently hit bills faster than they scale app improvements.
Integrations
Fly.io: Fly.io exposes a powerful HTTP API, Terraform provider and CLI for programmatic infrastructure, appealing to teams automating deployments and multi-app stacks.
Heroku: Heroku's API and Terraform support rival Fly.io, plus a rich ecosystem of add-on partners (Postgres, Redis, monitoring) that integrate one-click.
Support
Fly.io: Fly.io's community and documentation are robust for common patterns; enterprise support tiers are available but require custom negotiations.
Heroku: Heroku's support and educational content are legendary; Salesforce-backed resources and in-app guidance lower time-to-resolution for teams learning in public.
Best for Fly.io
- Teams that want run app servers close to users
- Users prioritizing scaling
- Growth-stage teams
Best for Heroku
- Teams that want classic paas for shipping apps
- Users prioritizing scaling
- Growth-stage teams
Decision notes
Choose Fly.io to optimize for global latency, container-native architecture and cost-per-request scaling; choose Heroku if your team prioritizes frictionless onboarding and integrated add-ons over raw performance. Try both in staging with your actual workload before committing. [compare](/compare) for deeper benchmarks.
- Export/import support between Fly.io and Heroku
- Team onboarding and learning curve
- Pricing at your seat count
- Integration coverage for your stack
Frequently asked questions
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