Heroku vs Vercel

Heroku and Vercel represent two distinct philosophies regarding infrastructure management. Heroku operates as a traditional platform-as-a-service, scaling from $0.10/mo for minimal hobbyist dynos up to $750.00/mo for beefy 800 GB RAM instances. This environment is built on the assumption that you need infinite, unmetered bandwidth and storage for legacy applications. Vercel, by contrast, targets frontend-heavy workflows, capping base pricing at $20.00/mo. While Vercel provides a predictable 1 GB to 3 GB of RAM, it imposes strict network ceilings that contrast sharply with Heroku’s wide-open architecture.

• Vercel limits egress to 100 GB or 1000 GB depending on the plan, charging $0.15/GB for any data transferred beyond those thresholds.
• Heroku includes unlimited bandwidth and storage, making it the safer choice for media-heavy backends or assets that would trigger massive overage fees on a provider like Vercel.
• Vercel enforces a $0.15/GB overage rate for additional storage, whereas Heroku treats disk capacity as an abstracted, bundled utility.
• Heroku allows single-instance scaling, while Vercel’s model encourages deploying unlimited instances across their edge network, though this requires strict adherence to their 3 GB memory limit.

The decision between these two depends on your application architecture. Vercel is optimized for static sites and serverless functions where memory requirements remain low and predictable. If you are running long-running processes or heavy compute tasks that require significant RAM, Heroku’s ability to scale memory up to 800 GB is necessary. Vercel’s pricing structure is transparent for web frontends, but it quickly becomes expensive if your application generates high egress volume or exceeds the included bandwidth allocations. You pay for the convenience of global edge distribution with Vercel, while Heroku charges for the underlying server resources required to keep stateful applications running consistently.