# Netlify vs Heroku: Which Platform Is Better in 2026? > Compare Netlify and Heroku for frontend delivery, backend hosting, functions, dynos, pricing, databases, and deployment workflows for your team in 2026. - **Author**: parth-kanpariya - **Published**: 2025-08-11 - **Modified**: 2026-08-20 - **Category**: Alternatives - **URL**: https://kuberns.com/blogs/netlify-vs-heroku-which-deployment-tool-is-the-best/ --- If you are comparing Netlify vs Heroku, choose Netlify for frontend-focused websites, Jamstack projects, global CDN delivery, deploy previews, and serverless functions. Choose Heroku for persistent backend applications, APIs, background workers, and workloads that benefit from managed data services and the Heroku add-on ecosystem. The platforms overlap, but they are built around different application models. Netlify is a web platform centered on frontend delivery and on-demand compute. Heroku is a managed Platform as a Service that runs application processes in dynos. The right choice depends on whether your project is primarily a frontend experience or requires persistent backend processes. This comparison explains how Netlify and Heroku differ across deployment, Jamstack support, backend execution, pricing, databases, scaling, previews, CI/CD, and production use cases. ## TL;DR: Netlify vs Heroku * **Choose Netlify** for static sites, frontend applications, Jamstack projects, Git-based deploy previews, global CDN delivery, Functions, and Edge Functions. * **Choose Heroku** for APIs, persistent web services, background workers, managed Postgres, application processes, and an extensive add-on ecosystem. * Netlify uses a credit-based pricing model with a permanent Free plan. Heroku charges for selected dynos, data services, and add-ons. * Netlify deploys production sites and previews as atomic web deployments. Heroku builds releases and runs defined application processes in dynos. * Netlify Functions are designed for event-driven and request-based execution. Heroku dynos can run persistent web and worker processes. * Teams can use Netlify for a frontend and Heroku for an API, but this creates a two-platform workflow. * **Choose Kuberns** when your team wants an Agentic AI platform for deployment, built for full-stack and complex backend projects. Connect a GitHub repository, and Kuberns prepares the deployment configuration with CI/CD, monitoring, and alerts included. ## Netlify vs Heroku Comparison Table | Category | Netlify | Heroku | | --- | --- | --- | | Platform model | Web platform with CDN delivery and on-demand compute | Managed PaaS using application processes and dynos | | Best fit | Frontend, static, Jamstack, and serverless-oriented applications | Persistent backends, APIs, workers, and full-stack applications | | Primary deployment | Git, API, CLI, or manual deployment | Git, GitHub, CLI, API, or container registry | | Frontend delivery | Global CDN and atomic web deployments | Static files served through an application or supporting service | | Backend execution | Functions and Edge Functions | Persistent web and worker dynos | | Preview workflow | Deploy Previews and branch deploys | Review Apps and pipeline stages | | Databases and storage | Netlify Database, Blobs, and external integrations | Heroku Postgres, Key-Value Store, and add-ons | | Scaling model | CDN delivery and metered on-demand compute | Change dyno type or quantity; eligible tiers support autoscaling | | Pricing model | Plan plus usage credits | Selected dyno and data-service plans | | Entry option | Free plan with 300-credit monthly limit | Eco at $5; Basic up to $7 per month | | Persistent processes | Not the primary execution model | Supported through web and worker dynos | | Best decision signal | The application fits a frontend and serverless web model | The application needs persistent backend processes | Netlify and Heroku both remove much of the underlying server administration, but they package deployment differently. Netlify organizes delivery around sites, deploys, previews, functions, and credits. Heroku organizes applications around builds, releases, dynos, process types, data services, and add-ons. ## Complete Netlify vs Heroku Comparison [Netlify](https://www.netlify.com/) is a web platform for building and delivering modern web experiences. Teams can connect a Git repository, configure a build, generate deploy previews, publish to a global CDN, and add dynamic behavior through Functions, Edge Functions, storage, and data services. ![Netlify web deployment platform](https://kuberns-blogs-media.s3.ap-south-1.amazonaws.com/netlify-homepage.png) [Heroku](https://www.heroku.com/) is a managed Platform as a Service. It builds application source code, creates releases, and runs web, worker, and other process types inside dynos. Teams can attach Heroku Postgres, Key-Value Store, and marketplace add-ons to an application. ![Heroku cloud application platform](https://kuberns-blogs-media.s3.ap-south-1.amazonaws.com/heroku-home.png) The central distinction is execution. Netlify is optimized for globally delivered web projects with on-demand functions. Heroku is optimized for applications that need persistent processes. ### Netlify's Git-to-CDN Workflow vs Heroku's Dyno Deployment Model Netlify supports continuous deployment from Git providers, as well as the Netlify CLI, API, and manual deployment. For a Git-connected project, Netlify watches the selected branch, runs the configured build command, publishes the output directory, and distributes the resulting deployment through its CDN. Teams can configure build settings and environment variables for different deployment contexts. Netlify also supports manual deployment, including drag-and-drop deployment for compatible site output. This is useful for static files, but Git-based continuous deployment is more appropriate when a team needs repeatable builds, previews, and version history. Netlify's [deploy overview](https://docs.netlify.com/deploy/deploy-overview/) explains how atomic deployments, branches, and deploy contexts work. Heroku accepts deployments through Git, GitHub, the Heroku CLI and API, and its container registry. Heroku builds application code using supported or custom buildpacks, creates a release, and starts the application's process types in dynos. A Procfile can define web, worker, and other process types, but it is not required for every supported application. The difference is what happens after the build. A Netlify deployment publishes a web experience and invokes dynamic compute when needed. A Heroku release starts and maintains application processes according to the selected dyno configuration. ### Netlify for Jamstack vs Heroku for Backend Applications Netlify is the more direct choice for Jamstack projects, static site generators, documentation sites, marketing websites, frontend applications, and web frameworks that fit its supported deployment model. Atomic deployments and CDN distribution make it possible to publish a complete version of a site without updating individual files in place. Heroku can host the server-side application behind a Jamstack frontend, and it can serve static files through an application. However, using a persistent dyno only to deliver static assets adds an application process where a purpose-built frontend platform can publish those files directly. Heroku becomes more relevant when the project needs an always-running Node.js, Python, Ruby, Java, PHP, Go, Scala, Clojure, or .NET application, a persistent API server, or background workers. Its managed runtime and data services support application architectures that do not fit a function-only execution model. For a decoupled application, teams can use both platforms: Netlify for the frontend and Heroku for the backend. This works, but it requires teams to coordinate domains, CORS, authentication, environment variables, deployments, logs, and monitoring across two systems. ### Netlify Functions vs Heroku Web and Worker Dynos [Netlify Functions](https://docs.netlify.com/build/functions/overview/) run server-side code in response to HTTP requests or events. They are useful for form processing, webhooks, authentication callbacks, lightweight API endpoints, scheduled tasks, and other workloads that fit the documented execution model. Edge Functions run logic closer to users for supported web use cases. Functions are not the same as an application server that remains active continuously. Workloads that require persistent connections, long-running processes, process-level runtime control, or continuously operating workers must be evaluated against Netlify's current function limits and architecture. [Heroku dynos](https://devcenter.heroku.com/articles/dynos) run application processes. A web dyno can run an API or web server, while worker dynos can process queues and background work. Teams choose dyno types and quantities based on capacity and can operate multiple process types within an application. Netlify's model removes server-process management for suitable event-driven workloads. Heroku's model provides a more direct home for traditional backend services and workers. ### Netlify Deploy Previews vs Heroku Review Apps and Pipelines Netlify can create a Deploy Preview for a pull or merge request. Each preview receives a unique URL, allowing teams to review frontend and web changes before merging. Branch deploys can also maintain deployable versions of selected branches. Netlify documents this workflow in its [Deploy Previews guide](https://docs.netlify.com/deploy/deploy-types/deploy-previews/). Heroku Pipelines organize applications into stages such as review, staging, and production. Review Apps can create temporary Heroku applications for pull requests, while pipeline promotion moves a tested build between stages without rebuilding the source. Netlify's preview workflow is closely integrated with web and frontend review. Heroku's pipeline model is designed around complete application releases and promotion between application environments. Both platforms support rollback workflows. Netlify can publish an earlier successful deploy, while a Heroku rollback creates a new release using the configuration and slug from an earlier release. ### Netlify Credit Pricing vs Heroku Dyno Pricing Netlify introduced its current credit-based model for newer plans. Its [official pricing page](https://www.netlify.com/pricing/) lists: | Netlify plan | Published price | Included usage | | --- | ---: | --- | | Free | $0 | 300-credit monthly limit | | Personal | $9/month | 1,000 credits | | Pro | Starts at $20/month | Starts with 3,000 credits and unlimited members | | Enterprise | Starts at $500/month | Custom | Credits are consumed by metered categories such as production deploys, compute, bandwidth, and web requests. If a project reaches its limit without auto recharge, Netlify documents that projects on the account can enter a paused state until the next billing cycle or a plan change. Heroku charges according to selected runtime and data-service plans. Its [official pricing page](https://www.heroku.com/pricing/) currently lists: | Heroku resource | Published price | | --- | ---: | | Eco | $5/month for a shared pool of dyno hours | | Basic | Up to $7/month per dyno | | Standard-1X | Up to $25/month per dyno | | Essential-0 Postgres | $5/month | Netlify can be economical for a frontend project that remains within its credits. Heroku offers clearer maximum monthly prices for selected dynos, but a production architecture may require web and worker dynos, a database, and add-ons. See the [complete Heroku pricing breakdown](https://kuberns.com/blogs/heroku-pricing-explained/) for detailed examples. The platforms cannot be compared using only their lowest plan. Estimate the complete application, including compute, bandwidth, web requests, production deploys, databases, workers, storage, and observability. ### Netlify Data Services vs Heroku Postgres and Add-ons Netlify provides Netlify Database and Blob storage alongside integrations with external data services. Functions and supported frameworks can connect to these services, but teams must still evaluate connection behavior, region placement, persistence, backups, and the limits of each selected product. Heroku provides Heroku Postgres and Heroku Key-Value Store as managed data services. Its marketplace includes add-ons for databases, caching, search, monitoring, logging, email, and other application requirements. The filesystem inside a Heroku dyno is ephemeral, so applications should not use it as permanent storage. Heroku has the more established integrated data-service and add-on model. Netlify's data capabilities are designed to complement web applications and on-demand compute. The right choice depends on whether data is supporting a web experience or is central to a persistent backend architecture. ### Netlify's Global CDN vs Heroku Application Scaling Netlify deploys web assets across its global delivery network. Static and cached content can be served without scaling an application server for every request. Functions and other metered compute scale according to their product model and limits. Heroku scales applications by changing dyno types or increasing the number of dynos for each process type. Native autoscaling is available for eligible Performance, Private, and Shield dynos and configurations. Applications must also account for database capacity, connection pools, workers, and add-on limits. Netlify is the faster fit for globally cached static content, while Heroku is designed to run dynamic application processes. Heroku performance depends on the runtime, dyno tier, application code, database, region, and architecture. A valid benchmark must use the same application and workload. ### Netlify or Heroku for a Production Application? Netlify is the stronger production choice when the application is primarily a frontend, static site, Jamstack project, or web experience that fits CDN delivery and on-demand functions. Teams should evaluate credit consumption, function limits, observability, data services, build concurrency, security requirements, and the operational effect of reaching usage limits. Heroku is the stronger production choice when the application needs persistent backend processes, APIs, worker dynos, managed data services, or an established PaaS workflow. Teams should evaluate dyno capacity, data-service plans, application architecture, add-ons, logs, metrics, networking, and support requirements. According to [Heroku's February 2026 platform update](https://www.heroku.com/blog/an-update-on-heroku/), the company moved to a sustaining engineering model with an emphasis on stability, security, reliability, and support. Heroku no longer offers new Enterprise Account contracts, while existing Enterprise subscriptions and support contracts remain supported and may renew. Choose the platform whose execution model matches the application. Using a frontend platform for a persistent backend or a dyno platform only for static files creates unnecessary complexity. ## Netlify vs Heroku: Which Should You Choose? ### Choose Netlify when Netlify is the better choice when: * The project is a static site, Jamstack site, documentation portal, marketing site, or frontend-focused web application. * Git-based Deploy Previews are central to the review workflow. * Global CDN delivery and atomic web deployments fit the application. * Dynamic features can run within Functions, Edge Functions, or connected services. * A credit-based Free, Personal, or Pro plan fits expected deployment, compute, bandwidth, and request usage. For other frontend-focused deployment options, compare the [best Netlify alternatives](https://kuberns.com/blogs/best-netlify-alternatives/). ### Choose Heroku when Heroku is the better choice when: * The application needs a persistent backend server or API. * Background workers and multiple process types are required. * Heroku Postgres, Key-Value Store, or marketplace add-ons fit the architecture. * Your team already uses dynos, releases, Pipelines, and Review Apps. * The application benefits from an established PaaS workflow rather than a serverless web model. If Heroku's pricing or platform direction does not fit your application, compare the [top Heroku alternatives in 2026](https://kuberns.com/blogs/heroku-alternatives/). ### Can you use Netlify and Heroku together? Yes. You can use Netlify and Heroku together by deploying the frontend to Netlify and running the API, backend service, or worker application on Heroku. This split takes advantage of Netlify's frontend delivery and Heroku's persistent processes. The tradeoff is operational fragmentation. Teams must manage two deployment systems, billing models, sets of environment variables, logs, access controls, domains, and incident surfaces. This approach works when the architectural separation is intentional and the team accepts the additional coordination. ## How Kuberns Unifies Frontend and Backend Deployment [Kuberns](https://kuberns.com/) is an Agentic AI platform for deployment, built for teams developing full-stack and complex backend applications. It is designed for teams that want one deployment workflow instead of separating a frontend platform from a persistent backend platform. After you connect a GitHub repository, Kuberns analyzes the application and prepares its deployment configuration. CI/CD, monitoring, and alerts are included. Plans start at $7, a Trial Option is available, and bundle packs provide additional savings. ![Kuberns Agentic AI platform for deployment](https://kuberns-blogs-media.s3.ap-south-1.amazonaws.com/kuberns-home-page-new.png) ### Where Kuberns fits Kuberns is most relevant when a team wants to deploy a full-stack or complex backend application without manually coordinating separate frontend delivery and backend runtime workflows. | Consideration | Netlify | Heroku | Kuberns | | --- | --- | --- | --- | | Platform model | Web platform | Managed PaaS | Agentic AI platform for deployment | | Primary fit | Frontend and Jamstack applications | Persistent backend applications and workers | Full-stack and complex backend applications | | Starting workflow | Connect a repository and configure a web build | Create an app and configure processes and services | Connect a GitHub repository for application analysis | | Runtime approach | CDN delivery and on-demand compute | Selected dyno processes | Deployment configuration prepared for the analyzed application | | CI/CD | Git-based deploys and previews | Pipelines, Review Apps, and GitHub deployment | Included | | Monitoring and alerts | Plan and product capabilities apply | Platform metrics and add-ons | Included | | Entry option | Free plan | Paid runtime plans | Trial Option available | | Published starting price | $0 Free; Personal at $9 | Eco at $5; Basic up to $7 | Plans start at $7 | | Savings option | Control credit consumption | Right-size dynos and add-ons | Bundle packs provide additional savings | Kuberns does not need to replace every specialized Netlify feature or Heroku add-on to be useful. Its strongest fit is a team whose primary goal is deploying and operating a complete application through a more unified workflow. ## Conclusion: Netlify, Heroku, or Kuberns? Netlify is a strong choice for frontend and Jamstack projects built around global web delivery, deploy previews, and on-demand functions. Heroku is a stronger fit for persistent backend applications, APIs, workers, and managed data services. For teams building full-stack and complex backend applications, [Kuberns](https://kuberns.com/pricing) provides a more unified path. Kuberns is an Agentic AI platform for deployment that prepares deployment configuration after a GitHub repository is connected. CI/CD, monitoring, and alerts are included, plans start at $7, a Trial Option is available, and bundle packs provide additional savings. [Deploy your application with Kuberns](https://dashboard.kuberns.com) Deploy your application with Kuberns ## Frequently Asked Questions ### What is the main difference between Netlify and Heroku? Netlify is a web platform centered on frontend delivery, atomic deploys, a global CDN, and on-demand functions. Heroku is a managed Platform as a Service that runs persistent web and worker processes in dynos. The application execution model is the most important difference. ### Does Heroku support Jamstack applications? Heroku can run the backend API or server-side application used by a Jamstack frontend, and it can serve static files through an application process. Netlify is the more direct Jamstack platform because it provides Git-based builds, atomic deploys, deploy previews, CDN delivery, and functions in one web workflow. ### How does Netlify deploy a site from GitHub? After a GitHub repository is linked, Netlify monitors the selected production branch. A push triggers the configured build command, publishes the output, and creates an atomic deployment on Netlify's CDN. Pull requests can also receive unique Deploy Preview URLs for review before merging. ### Can Netlify run background jobs or a long-running API? Netlify Functions and Edge Functions run code in response to supported requests or events, but they are not equivalent to an always-running server or worker process. A long-running API, persistent connection, or continuous background worker is generally a better fit for Heroku dynos or another persistent application platform. ### Can a React frontend use Netlify with a Heroku backend? Yes. A React frontend can be deployed to Netlify and call an API running on Heroku over HTTPS. The team must configure the API URL, CORS, authentication, environment variables, domains, monitoring, and deployments across both platforms. ### How do Netlify credits compare with Heroku dyno pricing? Netlify plans include credits consumed by production deploys, compute, bandwidth, and web requests. Heroku charges for selected dynos, data services, and add-ons. Netlify can suit frontend projects with predictable credit usage, while Heroku pricing maps more directly to persistent application processes. ### What should a product team use for backend hosting without managing raw cloud infrastructure? Heroku is suitable when the team wants persistent dynos, managed data services, and established PaaS conventions. [Kuberns](https://kuberns.com/) is an alternative for full-stack and complex backend teams that want an Agentic AI platform for deployment to prepare deployment configuration after a GitHub repository is connected. ### Can Kuberns replace a separate Netlify frontend and Heroku backend workflow? Kuberns can provide one deployment workflow for supported full-stack and complex backend applications that would otherwise be split between frontend and backend platforms. [Connect a GitHub repository](https://dashboard.kuberns.com), and Kuberns prepares the deployment configuration. CI/CD, monitoring, and alerts are included, plans start at $7, a Trial Option is available, and bundle packs provide additional savings. ### Is Netlify 100% free? Netlify has a Free plan, but it is not unlimited. The Free plan includes a monthly credit limit, and usage such as production deploys, bandwidth, compute, and web requests can consume those credits. It is best for small static sites, portfolios, demos, and low-traffic projects. ### What is Netlify used for? Netlify is used for deploying frontend websites, static sites, Jamstack applications, documentation sites, deploy previews, and serverless web functions. It is strongest when the project is centered on web delivery rather than persistent backend processes. ### Is Netlify better than Heroku for deployment? Netlify is better for frontend deployment, static sites, Jamstack projects, global CDN delivery, and deploy previews. Heroku is better for backend deployment, APIs, background workers, persistent dynos, and applications that need managed data services. ### What are the best alternatives to Heroku and Netlify? Common alternatives include Kuberns, Render, Railway, Vercel, Fly.io, DigitalOcean App Platform, and Cloudflare Pages. Kuberns is best suited for teams that want one Agentic AI platform for deployment across full-stack and complex backend projects. --- - [More Alternatives articles](https://kuberns.com/blogs/category/alternatives/1/) - [All articles](https://kuberns.com/blogs/)