Heroku Alternatives in 2026: Stay, Render, Railway, Fly.io, or Cloud Run?

Heroku did not announce a shutdown. In February 2026, the company said it was moving to a "sustaining engineering" model focused on stability, security, reliability, and support. It also said Heroku remained actively supported and production-ready, with no change to pricing, billing, service, or daily use for customers paying by credit card. New Enterprise Account contracts are the notable exception; existing enterprise subscriptions can continue and renew.

That distinction changes the decision. A migration may still be sensible, but it should solve a measured problem: an unavailable region, a scaling limit, a database requirement, a rising bill, or a product-development constraint. Fear that the platform is about to disappear is not an evidence-based reason to move.

Editorial review: August 25, 2026. Source verification: August 25, 2026. Prices below are list prices in USD and do not include every worker, cache, add-on, build minute, network charge, tax, or support option.

Short Answer

Stay on Heroku when the application is reliable, its add-ons and pipelines save meaningful operating time, and the us or eu Common Runtime region is acceptable. A rushed migration can cost more than the infrastructure savings it promises.

Test Render first when you want the nearest conceptual move from dynos and Procfile process types to managed web services, workers, pre-deploy commands, and managed Postgres. Test Railway when the team values quick service setup and is willing to measure usage-based billing. Test Fly.io when regional placement and machine-level control justify additional operational ownership. Test Cloud Run when the workload is a stateless HTTP container with uneven traffic and the team can operate Google Cloud services around it.

There is no universal winner. The useful comparison is the same application, same dataset, same region goal, and same seven days of traffic on each serious candidate.

What Heroku's Current Position Actually Means

The official Heroku update says engineering investment is emphasizing operational quality rather than new features. It does not give an end-of-life date. Language such as "frozen," "abandoned," or "the phase before shutdown" goes beyond the source and should not drive a production decision.

Heroku's current entry prices remain straightforward. An Eco plan costs $5 per month and supplies 1,000 shared dyno hours for personal apps; an Eco web dyno sleeps after 30 minutes without web traffic. A Basic dyno is always on and costs up to $7 per month. The smallest Heroku Postgres Essential-0 plan is $5 per month for 1 GB and 20 connections. That makes a one-web-dyno, one-database list-price baseline $10 with sleeping Eco compute or $12 with always-on Basic compute. See Heroku pricing, Eco dyno behavior, and Postgres plan limits.

The baseline is not a production quote. Add a worker, cache, observability add-on, larger database, or horizontally scalable Standard dyno and the bill changes. Basic and Eco do not support horizontal scaling; Heroku's native autoscaling is limited to higher dyno tiers described in the autoscaling documentation.

Recurring Cost: Compare the Whole Stack

Render's current smallest paid database compute is $6 per month, with storage billed separately at $0.30 per GB. A Starter web service plus Basic-256mb Postgres with 1 GB selected is therefore a derived $13.30 monthly example on a free Hobby workspace. Render Pro is a separate flat $25 monthly workspace plan that unlocks capabilities including autoscaling; it is not included in that example. Verify the chosen storage amount on Render's pricing page and its flexible Postgres documentation.

Railway Hobby is a $5 minimum commitment, not a promise that an always-on stack costs $5. Official rates are $10 per GB-month of RAM, $20 per vCPU-month, $0.15 per GB-month of volume storage, and $0.05 per GB of egress. Pro is a $20 minimum with $20 of included usage; its invoice may show a per-seat line, but the billing guide states that seats are free. Railway itself recommends running a project for one week and reading Estimated Usage before forecasting a month.

Fly.io prices Machines by region and running time, so a single "$2 server" figure is not portable across locations. Its managed Postgres Basic plan is $38 per month plus $0.28 per provisioned GB; the CLI's default 10 GB shape produces a derived $40.80 database baseline. Cloud Run has the opposite pricing trap: low or zero idle application compute can look inexpensive, but it has no bundled database. Cloud SQL pricing must be modeled separately.

Deployment, Sleep, and Scaling Differences

Heroku's unit is a managed Linux container called a dyno. Web, worker, and one-off process types map cleanly from a Procfile, but the filesystem is ephemeral. Render uses separate services and instances; its Heroku migration guide maps non-web Procfile entries to background workers and a release process to a pre-deploy command. Free Render web services sleep after 15 idle minutes and can take about a minute to wake; Render explicitly says its free services and 30-day free Postgres are for evaluation, not production.

Railway uses long-running services built with Railpack or a Dockerfile. Its optional Serverless mode considers outbound packets, not just inbound requests. Database connections, telemetry, or time synchronization can prevent sleep, and the first request during a cold boot may receive a 502. A cost trial must verify that the service actually sleeps.

Fly.io autostop and autostart stop or resume existing Machines. They do not create and destroy Machines in response to demand, so the pre-created maximum and min_machines_running still matter. Cloud Run creates immutable revisions from container images and automatically scales service instances, including to zero when configured without warm minimum instances. A minimum instance reduces cold starts but introduces idle billing.

Database, Region, and Exit Risk

Heroku PGBackups uses standard pg_dump, but Heroku says the routine path is intended for moderately loaded databases around 20 GB or less. Larger databases need the separate logical backup process. PGBackups files are stored in the United States regardless of the database region, which may matter for data-residency rules. Review the official import/export guide before treating a dashboard backup as an exit plan.

Railway's volume backup is useful inside the same project and environment, but its official Postgres backup guide distinguishes that from a portable pg_dump. Fly Volumes are local NVMe attached to a host and are not automatically synchronized. Render regions cannot be changed in place. These differences make a neutral restore test more valuable than a provider's "backup enabled" badge.

A Two-Week Migration Trial

1. Days 1-2 — inventory and baseline. Record every Heroku process, release command, scheduled job, add-on, secret, domain, database extension, current bill, p95 latency, deploy time, RPO, and RTO.
2. Days 3-4 — build one portable reference. Use one container image, one health endpoint, the same sanitized dataset, and a target region. Set a hard spending limit on every candidate.
3. Days 5-6 — map processes and restore data. Deploy web, worker, and release tasks. Restore a fresh logical dump, then compare schema, extensions, row counts, and representative checksums.
4. Day 7 — test idle behavior. Leave the app idle for 24 hours. Record whether it sleeps, wake latency, first-request errors, and whether the worker continues correctly.
5. Days 8-9 — load and release. Run the same concurrency test, measure p95 and database connections, deploy a schema change, and roll it back.
6. Day 10 — prove exit. Export the candidate database and restore it into neutral PostgreSQL. Record recovery time and any provider-specific extension or credential problem.
7. Days 11-12 — inspect region and cost. Check data location and forecast a month from observed compute, database, storage, egress, builds, logs, IPs, and support.
8. Days 13-14 — failure drill and decision. Kill an instance, interrupt a database connection, rehearse DNS rollback, and score the evidence.

Decision Scorecard and Go/No-Go Rule

Score each candidate out of 100: all-in recurring cost 25, migration parity 15, operational load and support 15, database reliability and recovery 15, cold-start and scaling behavior 10, region and data residency 10, and export and rollback 10.

The score is secondary to five hard gates: all required processes run; a neutral database restore passes; measured RPO and RTO are acceptable; secrets remain protected; and rollback works. Set the required improvement before the trial, such as ten points out of 100. Move only when a candidate passes every hard gate and clears that margin. Otherwise, staying on Heroku is a valid decision.

If you stay, upgrade any Heroku-22 apps before its April 30, 2027 end of life documented in the Heroku-22 end-of-life FAQ, run a quarterly off-platform restore, and keep an add-on replacement inventory. If platform selection is the main constraint, continue with ToolPick's Next.js hosting alternatives guide and MCP hosting decision guide.

Official Links

• Heroku platform update
• Heroku regions
• Render free-tier limits
• Railway Serverless behavior
• Fly.io Managed Postgres
• Cloud Run autoscaling