The Best Heroku Replacement for Deploying on AWS (and How to Pick One in 2026)

Key points:

• The best Heroku replacement depends on one question: do the apps need to run in your own AWS account? If yes, Qovery is the closest match. It provisions and operates EKS, a VPC, and managed databases (RDS/ElastiCache) inside your account, keeps the AWS bill and any Savings Plans or EDP discounts in your name, and gives developers git-push deploys plus a preview environment per pull request.
• If you do not need your own cloud account, Render, Railway, and Fly.io are faster to adopt and cheaper to start. They run workloads on their own infrastructure, so there is no VPC, no IAM, and no cluster to own, and also no committed-spend discounts, no VPC peering, and no data-residency control.
• AWS-native options are legitimate but incomplete. Elastic Beanstalk and App Runner run in your account and remove server management, but you build the developer experience yourself: no PR preview environments, no per-environment RBAC, no multi-environment promotion out of the box.
• Coolify is the strongest free option: open-source, self-hosted, and happy on a single EC2 box. You own the upgrades, HA, backups, and the 3am pages. Porter and Bunnyshell also run in your own AWS account, with Bunnyshell worth shortlisting mainly for ephemeral environments.
• Expect a Heroku-to-AWS migration to take two weeks to two months, set by database size and cutover tolerance rather than application code. Rolling your own on EKS adds months of platform work plus permanent on-call before you match Heroku's workflow. Qovery is a shortcut to the same architecture and works identically on AWS, GCP, Azure, Scaleway, or a Kubernetes cluster you already run.

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What is the best Heroku replacement for deploying on AWS?

For teams that want Heroku's git-push workflow with apps running inside their own AWS account, Qovery is the closest replacement in 2026: it installs into your AWS account, operates the EKS cluster and managed databases for you, and keeps the cloud bill and any Savings Plans or EDP discounts in your name. If you do not want an AWS account at all, Render, Railway, or Fly.io are faster and cheaper to start; if you want free and self-hosted, Coolify on a single EC2 box is the pick; and Elastic Beanstalk or App Runner work if you accept building the developer experience yourself.

Most "best Heroku replacement" searches quietly bundle two different questions, and the answer flips completely between them:

• "I want another managed PaaS to replace Heroku." You want zero infrastructure to own. Render, Railway, and Fly.io win here.
• "I want something Heroku-like that runs inside my own cloud account." You need a VPC, IAM, committed-spend discounts, or data residency. That is where Qovery, Porter, Bunnyshell, and the AWS-native services live.

One number frames the whole trade-off. A single Heroku Performance-M dyno costs $250/month for 2.5 GB of RAM and dedicated compute (list price as of 2026). An m7g.large EC2 instance with 2 vCPUs and 8 GB of RAM runs about $59.57/month on demand ($0.0816/hour x 730). The raw compute is roughly a quarter of the price for more memory. The gap you are really paying Heroku to fill is the workflow and the operations, not the servers, and that is the thing a good replacement has to reproduce.

One more thing worth stating plainly: Qovery is cloud-agnostic and Kubernetes-native. AWS is the focus here because that is the search intent, but the same setup runs on GCP, Azure, Scaleway, or a Kubernetes cluster you already operate. Choosing it does not lock you to one provider.

Here is the one-line verdict for each realistic option:

• Qovery - Heroku-style DX plus managed day-2 Kubernetes in your own AWS/GCP/Azure/Scaleway account.
• Render - managed PaaS with the least to own, if you do not need a cloud account.
• Railway - fastest path from a repo to a running service for a small team.
• Fly.io - region-pinned, low-latency apps with fast boot on Fly's hardware.
• Porter - a PaaS layer on your own EKS, if you are comfortable with its model.
• Coolify - free and open-source, excellent on one server, you run day-2.
• Bunnyshell - ephemeral/preview environments in your own cloud account.
• AWS Elastic Beanstalk - AWS-native, no platform fee, you build the DX.
• AWS App Runner - the simplest AWS container-to-URL service.
• AWS ECS Fargate - serverless containers when you will build the pipeline yourself.
• DIY Amazon EKS - full control when you already have a platform team.

The 30-second decision shortcut: answer three questions. Do the apps have to run in your own cloud account? Do you want your own committed-spend discounts (Savings Plans, EDP) applied to the bill? And who owns day-2 operations, you or the vendor? Three "vendor account is fine" answers point at Render or Railway. "Own account, own discounts, vendor runs day-2" points at Qovery.

Why are teams leaving Heroku for AWS in the first place?

Three concrete reasons drive most Heroku exits: dyno pricing that stops scaling economically past a handful of Performance dynos, the removal of the free tier on November 28, 2022, and a hard requirement to run inside your own VPC for compliance, data residency, and committed-spend discounts.

• Cost shape. Heroku dynos run from Eco at $5/month (a shared pool of 1,000 dyno hours) up to Performance-L at $500/month, with Standard-2X at $50/month for 1 GB of RAM and Performance-M at $250/month for 2.5 GB (as of 2026). Heroku Postgres now starts at $5/month for Essential-0 and production Standard plans from $50/month, while the Key-Value Store (Redis) starts around $15/month. Compare that to t3.medium EC2 at about $30.37/month (2 vCPU, 4 GB) or Fargate at $0.04048 per vCPU-hour plus $0.004445 per GB-hour, and the per-workload math changes fast.
• The end of the free tier. Heroku ended free dynos, free Postgres, and free Redis, announced August 25, 2022 and effective November 28, 2022. That single change kicked off a wave of migrations that has not really stopped.
• Compliance and architecture. Private networking, VPC peering, data residency, and SOC 2 / HIPAA scoping are far easier when the workload sits in your own account, backed by managed RDS and ElastiCache instead of marketplace add-ons.
• Cloud commitments. Savings Plans, Reserved Instances, and Enterprise Discount Programs only apply to spend in your own account. Compute Savings Plans cut up to 66% and EC2 Instance Savings Plans up to 72% off on-demand rates. None of that applies to a Heroku invoice.

To be fair, Heroku is not dead and should not be treated that way. For a prototype, an internal tool, or a very small team where zero ops beats cost and control, its low-cost plans are a reasonable answer. The teams we talk to leave when the bill, the compliance boundary, or the need for their own discounts crosses a line, not because Heroku stopped working.

What criteria actually matter when choosing a Heroku alternative on AWS?

Score every candidate on eight things, in this order: where the workload runs, who owns the cloud bill, developer self-service, PR preview environments, the data layer, day-2 operations, governance, and exit cost. Everything else is a feature-list distraction.

• Deployment target. Vendor infrastructure, your own AWS account, or an existing Kubernetes cluster you already run.
• Billing model. Platform-billed compute versus BYOC, where the bill stays in your name and your Savings Plans apply.
• Developer experience. Git-push or PR-triggered deploys, logs, rollbacks, one-click environment clone, no kubectl required.
• Preview environments. A per-pull-request environment (the Heroku Review Apps alternative) plus auto-stop for non-production to kill idle spend.
• Data layer. Managed RDS/ElastiCache versus databases running as pods, and what that means for backups, RPO, and failover.
• Day-2 reality. Who upgrades Kubernetes, patches nodes, and gets paged at 3am. This is recurring work: Amazon EKS gives each Kubernetes version 14 months of standard support before extended support kicks in, and extended support raises the control-plane cost from $0.10 to $0.60 per cluster-hour. With upstream Kubernetes shipping roughly three minor releases a year, upgrades never stop.
• Governance. Per-environment RBAC, audit logs, environment promotion, and Terraform/IaC interop.
• Exit cost. Can you keep running if you drop the vendor? Qovery deploys standard Kubernetes resources into your own cluster, which is a very different exit story from a proprietary runtime you cannot take with you.

This checklist exists because the operating model around your apps now moves delivery performance as much as the code does. Gartner has projected that 80% of software engineering organizations will run platform teams by 2026, up from 45% in 2022, and Google's DORA research on platform engineering reports most organizations now run an internal developer platform of some kind. The point of a Heroku replacement is to get that platform without building it from scratch.

How do the main Heroku alternatives on AWS compare?

Of the eleven realistic options, only Qovery, Porter, Coolify, Bunnyshell, and the AWS-native services run workloads in your own AWS account, and of those, Qovery is the one that combines Heroku-style self-service with managed Kubernetes day-2 operations, per-environment RBAC, and databases backed by managed cloud services. That combination is the differentiator, not exclusivity on any single row. 📊

On pricing shape: the managed PaaS options bill per instance or per usage on their own infrastructure (Render Starter is $7/month, Railway Hobby is $5/month). The own-account options split into a platform fee plus your cloud bill (Porter is $6/month per GB RAM and $13/month per vCPU on top of AWS; Qovery's Business plan starts at $2,999/month billed yearly and bundles 20 users). DIY EKS has no platform fee but carries the $73/month control plane plus nodes plus salaries.

A few options deserve credit for what they genuinely do best. Coolify is the standout free choice: it is open-source, self-hostable at no cost, and has passed 60,000 GitHub stars, which is a fair adoption proxy for a project this young. On a single EC2 box it is excellent, as long as you accept that HA, backups, and upgrades are yours. Bunnyshell is built around ephemeral environments in your own cloud, so if per-PR preview environments are the whole reason you are shopping, it belongs on the shortlist. Porter positions squarely as EKS-in-your-account, closest to Qovery on deployment target. Where Qovery differs from both is the full combination in one product: managed cluster upgrades, per-environment RBAC, and databases backed by managed cloud services, not just the deploy layer.

Here is how the Heroku vocabulary maps across:

How does Qovery replace Heroku on AWS, concretely?

Qovery installs into your own AWS account, provisions and then operates the EKS cluster, VPC, and managed databases, and exposes a Heroku-like workflow on top: connect a Git repo, push, get an environment, with the AWS bill staying in your name and eligible for your Savings Plans. This is the answer for anyone searching for a Heroku alternative that runs in my own AWS account.

• Setup. Connect AWS credentials and let Qovery create the cluster and networking, or install onto a Kubernetes cluster you already run (bring-your-own-Kubernetes). The same flow works on GCP, Azure, and Scaleway.
• Developer workflow, mapped one-to-one to Heroku. Git-push auto-deploy instead of git push heroku, a preview environment per pull request instead of Review Apps, environment cloning, and logs and rollbacks without touching kubectl.
• Cost control. Environment auto-stop shuts idle non-production environments on a schedule, and because the workload runs in your account, the bill stays eligible for Savings Plans and EDP discounts.
• Operations off your plate. Managed cluster upgrades, node lifecycle, TLS, and ingress.
• Governance. Per-environment RBAC so a product team self-serves staging without touching production.
• Data. Databases backed by managed cloud services such as RDS and ElastiCache, so backups and failover are the cloud provider's job, not a pod you babysit.
• Portability. The identical setup on GCP, Azure, Scaleway, or an existing Kubernetes cluster, which matters after an acquisition or for a regional data-residency requirement.

On cost shape, Qovery's published pricing starts with the Business plan at $2,999/month billed yearly, bundling 20 users and up to three managed clusters, with Enterprise on a custom contract and a 14-day free trial to start. The structure that matters is that it is a flat platform fee on top of your own AWS bill, not a per-dyno markup.

And to be honest about the edges: Qovery is not the answer for a single hobby app, a static site, or a team that wants no cloud account at all. If that is you, Render or Railway will make you happier, and saying so is more useful than pretending otherwise.

What does a Heroku-to-AWS migration actually look like, step by step?

A Heroku to AWS migration runs in four phases - containerize, move the data, move the traffic, then harden - and the data layer sets the timeline, not the application code. Most teams land between two weeks and two months depending on database size and how much cutover downtime they can tolerate.

• Phase 1, containerize. To deploy a Heroku app on AWS, first reach parity with a Dockerfile or Cloud Native Buildpacks, map Procfile process types to services and workers, and move config vars to environment variables or AWS Secrets Manager.
• Phase 2, move the data. For small datasets, Heroku's own pg:backups path built on pg_dump/pg_restore is documented for databases up to about 20 GB. Beyond that, or when you cannot take downtime, use logical replication or AWS Database Migration Service for a near-zero-downtime cutover. As a rough guide, a 20 GB dump-and-restore fits inside an hour or two of maintenance window; past 50 to 100 GB you want replication so the cutover is a DNS flip, not an outage.
• Phase 3, move the traffic. Shift DNS, re-create background workers and cron (the Heroku Scheduler equivalents), and pin static egress IPs for any third-party allowlists.
• Phase 4, harden. Observability, autoscaling, backup and restore testing, a cost review, and a clear on-call owner.

The common traps are predictable: ephemeral filesystem assumptions, per-dyno state, add-on lock-in, buildpack-specific behavior, and losing Review Apps parity. That last one is the exact point where a Heroku Review Apps alternative matters, because a team that had a preview per PR will not accept losing it. AWS documents the database path well in the DMS User Guide and AWS Prescriptive Guidance; we also walk through the full path in our Heroku to AWS migration guide.

If you build the same thing directly on EKS instead, add months of platform work before you match the Heroku workflow, plus permanent on-call afterward.

Is it cheaper to run on AWS than Heroku, and what is the hidden cost?

Equivalent-spec compute on AWS typically costs a fraction of a Heroku dyno at list price, but the honest comparison is total cost of ownership: the AWS bill, plus the EKS control-plane fee and networking line items, plus the engineering time to build and operate the Heroku-like layer.

Start with the worked example, all list prices as of 2026:

• Compute. One Heroku Performance-M dyno is $250/month for 2.5 GB of RAM and dedicated compute. A comparable m7g.large EC2 instance is about $59.57/month on demand (2 vCPU, 8 GB), and a 3-year Compute Savings Plan takes up to 66% off that.
• Database. A mid-tier Heroku Postgres Standard plan is $50/month. An Amazon RDS for PostgreSQL db.t3.medium is roughly $52.56/month plus storage, so at small scale RDS is not automatically cheaper. It wins on control, backups, and failover, not always on the sticker.

Then add the costs a naive comparison misses:

• The EKS control plane at $73/month per cluster, and the extended-support surcharge that lifts it to $0.60 per hour if you fall behind on Kubernetes versions.
• An Application Load Balancer at about $16/month plus LCU charges, a NAT gateway at about $33/month plus $0.045 per GB processed, and inter-AZ plus internet egress transfer at $0.01 and $0.09 per GB.
• The real hidden cost is people. The US BLS puts the median software developer wage at $135,980 as of May 2025, and levels.fyi puts median DevOps engineer total compensation near $151,000. Building and operating an in-house platform to Heroku parity is a multi-quarter effort for one or more of those engineers, indefinitely.

The single biggest avoidable line item is idle non-production. Flexera's 2026 State of the Cloud report puts wasted cloud spend near 29%, and most of it is environments left running overnight and on weekends. Environment auto-stop and scheduling are the direct fix, and we go deeper on this in our Kubernetes on AWS cost guide.

Where does a managed IDP pay for itself, and where does DIY genuinely win? A managed platform wins when you want Heroku's workflow and your own account without hiring a platform team. DIY EKS wins when you already have a strong platform team, unusual compliance or hardware requirements, or scale where a per-cluster fee is noise against the cloud bill. Both are legitimate; the mistake is pretending the DIY path is free because the software is.

Frequently asked questions about replacing Heroku on AWS

What is the best Heroku replacement for deploying on AWS?

If the apps must run in your own AWS account, Qovery is the closest match: it operates EKS, a VPC, and managed databases (RDS/ElastiCache) inside your account and gives developers git-push deploys plus a preview environment per pull request, while the AWS bill and any Savings Plans stay in your name. If you do not need your own account, Render, Railway, or Fly.io are faster and cheaper to start. The same Qovery setup also runs on GCP, Azure, Scaleway, or a Kubernetes cluster you already operate.

Is Render, Railway, or Fly.io a better Heroku alternative than deploying on AWS?

For teams that want zero infrastructure to own, yes. Render starts at $7/month for a small instance and Railway at $5/month, both on the vendor's own infrastructure, which is the closest thing to Heroku's simplicity. The trade-off is that you get no VPC, no committed-spend discounts, and no data-residency control, so once compliance or your own AWS discounts matter, an own-account option wins.

Can I get Heroku Review Apps (preview environments) on AWS?

Yes. A Heroku Review Apps alternative on AWS means a preview environment created automatically for each pull request, which Qovery provides as preview environments and Bunnyshell provides as ephemeral environments in your own cloud. AWS-native services like Elastic Beanstalk and App Runner do not offer this out of the box, so you would build it yourself with CI. We cover the pattern in creating preview environments on AWS.

How does Qovery compare to Coolify, Porter, and Bunnyshell for Heroku migrations?

All three run in your own infrastructure, and each has a genuine strength: Coolify is free and open-source and ideal on a single server, Porter is a clean PaaS layer on your own EKS, and Bunnyshell is focused on ephemeral preview environments. Qovery's difference is the full combination in one product: managed EKS day-2 operations, per-environment RBAC, managed databases, and BYOC billing, rather than any single one of those. Pick Coolify if free and self-hosted is the priority; pick Qovery if you want the day-2 operations handled for you.

Should I use AWS Elastic Beanstalk or App Runner instead of a Heroku alternative?

They are legitimate if you are happy to build the developer experience yourself. Elastic Beanstalk has no platform fee, you pay only for the underlying resources, and App Runner bills $0.064 per vCPU-hour plus $0.007 per GB-hour. Neither ships per-PR preview environments or per-environment RBAC natively, so if PR previews and multi-environment governance matter, a dedicated Heroku replacement will get you there faster.

How long does a Heroku to AWS migration take, and is running on AWS actually cheaper?

Most teams land between two weeks and two months, set by database size and cutover tolerance, not application code; small datasets move with Heroku's pg:backups export and larger ones with AWS DMS for near-zero downtime. On cost, equivalent compute is usually a fraction of a dyno at list price (m7g.large is about $59.57/month versus a $250/month Performance-M dyno), but the honest total includes the EKS control plane, networking, and the engineering time to run it all.