Feature Comparison
A transparent comparison between Heroku and dFlow - built for developers who value speed, flexibility, and control.
Feature | Heroku | dFlow |
---|---|---|
Infrastructure Control | ||
Custom Domains (All Plans) | ||
Pay-as-You-Go Pricing | ||
Automatic SSL Certificates | ||
Database Backups | ||
Native Git Deploys | ||
Self Hosting Option | ||
Container Registry Support | ||
Zero Downtime Deploys | ||
Team Roles & Permissions | ||
Usage-Based Scaling | ||
Custom Buildpacks / Dockerfiles | ||
Built-in Monitoring Dashboard | Limited | |
Open Source Option |
Heroku made app deployment simple. dFlow takes it to the next level - with modern infrastructure, real-time scaling, and fair pricing that grows with you.
Perfect for Every Heroku Use Case
dFlow runs all the same workloads you love from Heroku - but with better performance, full infrastructure control, and lower costs.
Web Applications
Deploy full-stack web apps using popular frameworks like React, Vue, Next.js, Ruby on Rails, or Django.
Examples: E-commerce platforms, SaaS dashboards, internal admin tools
Migration Advantage:
Keep your familiar Procfile-based workflow - but without dyno sleeping, higher costs, or vendor lock-in.
API Services
Build and host high-performance REST or GraphQL APIs that scale automatically with demand.
Examples: Node.js, Go, Python (Flask/FastAPI), or Ruby APIs
Migration Advantage:
No cold starts or idle limits - your endpoints are always live with predictable performance and cost.
Background Workers
Run background jobs, queues, and schedulers for processing tasks outside the request cycle.
Examples: Sidekiq, Celery, BullMQ, or any custom worker scripts
Migration Advantage:
Reliable continuous workers without the overhead of dedicated dynos - ideal for async workloads.
Databases & Caches
Host or connect to production-ready databases and high-speed caches with full control.
Examples: Postgres, MySQL, Redis, MongoDB, or external managed providers
Migration Advantage:
No add-on markups - bring your own database or deploy one inside your dFlow project for complete ownership.