Heroku vs Netlify

What Heroku is

Heroku is a proprietary platform as a service that builds and runs applications in managed dyno containers, with pipelines, logs, data products and marketplace add-ons. Eco provides 1,000 shared personal-account dyno hours for $5 monthly and sleeps inactive web apps; Basic and larger dynos are usage-prorated up to published monthly caps. Dyno filesystems are ephemeral, so durable state belongs in databases or object storage. Compute, data services, add-ons, CI, support and private networking must be costed together.

What Netlify is

Netlify is a powerful platform for deploying modern web projects, specifically optimized for the Jamstack architecture. It automates your entire build process, taking your code from GitHub and deploying it to a global CDN with one push. Beyond just hosting, Netlify provides essential services like serverless functions, form handling, and identity management, allowing you to build full-stack applications without managing a backend. It is the premier choice for speed, simplicity, and a great developer experience.

What Heroku is built to do

Managed dynos

Runs isolated application processes with platform-managed cycling and replacement.

Release workflow

Builds deployable releases and supports pipelines, review apps and one-off administrative processes.

Data and add-ons

Attaches Heroku data products and third-party marketplace services to applications.

Runtime tiers

Offers sleeping personal Eco dynos through always-on production and isolated Private/Shield options.

What Netlify is built to do

Netlify Functions

Deploy serverless AWS Lambda functions without ever leaving your workflow.

Netlify Forms

Receive and manage user submissions directly in your dashboard with no setup.

Identity

A full suite of tools for managing user authentication and registrations.

Split Testing

Easily run A/B tests on your site branches to optimize conversion rates.

Choose Heroku if

• Conventional stateless web and worker applications needing fast deployment and managed runtime operations
• Small experiments on Eco where sleep and the shared 1,000-hour pool are acceptable
• Production services after sizing dynos, databases, add-ons, regions and support as one bill

Skip Heroku if

• The application needs persistent local disk, privileged host access or unusual infrastructure control
• Cold starts, a single Eco dyno per process type or hour exhaustion are unacceptable
• Data residency is assumed from the app region without reviewing control-plane and add-on behavior

Choose Netlify if

• Frontend Developers and Jamstack Enthusiasts.

Heroku: pros & cons

• Managed runtime: Heroku handles container placement, restarts and underlying operating-system administration.
• Simple release model: Source or container deployments, configuration variables and one-off commands support repeatable application delivery.
• Integrated ecosystem: Pipelines, review apps, Postgres, Key-Value Store and marketplace add-ons reduce integration work.
• Granular billing: Most dynos and data add-ons are prorated to the second up to a monthly maximum.
• No general free compute tier: Eco costs $5 monthly, is personal-app only and can exhaust its shared hour pool.
• Eco cold starts: Inactive web dynos sleep after 30 minutes and wake with a delay.
• Ephemeral local disk: Files written at runtime disappear across restarts, deploys or dyno replacement.
• Stacked cost: Production dynos, databases, add-ons, CI, teams and support can materially exceed the headline compute price.

Netlify: pros & cons

• Instant Deployment: Link your repo and go live in minutes with zero config.
• Deploy Previews: Automatically generates a unique URL for every pull request.
• Built-in Forms: Handle form submissions without writing any backend code.
• Global Edge Network: Serves your site from the nearest possible location to your users.
• Dynamic Limits: Not ideal for sites requiring heavy server-side processing (SSR).
• Build Minutes: Free plan has monthly limits on how much time you can spend building.
• Cost for Teams: Adding multiple collaborators can get expensive quickly.