DigitalOcean vs Heroku

"DigitalOcean vs Heroku" usually means one of two different comparisons. The first is DigitalOcean App Platform against Heroku dynos, which is platform-as-a-service (PaaS) against PaaS. The second is DigitalOcean Droplets against Heroku, which is do-it-yourself servers against a managed platform. The right answer depends on which comparison you're making.

The short version:

• Heroku and App Platform suit teams that want to push code and let the platform handle servers.
• Droplets suit teams willing to trade their own time for full control and lower raw compute prices.

Prices in this article are snapshots. Both platforms change plan names, limits, and prices often, so confirm current numbers on each vendor's official pricing page before you decide.

Documentation and prices checked: Render between 2026-09-11 and 2026-10-20, Heroku between 2026-09-14 and 2026-10-20, DigitalOcean between 2026-09-26 and 2026-10-20, postgresql.org on 2026-10-14.

Which DigitalOcean are you comparing?

DigitalOcean sells two different kinds of hosting for apps.

• Droplets are DigitalOcean's infrastructure-as-a-service (IaaS) product. You get virtualized compute, storage, and networking, and you manage the operating system, applications, and data. DigitalOcean describes its core Droplet offering as unmanaged.
• App Platform is DigitalOcean's PaaS. It deploys applications from Git repositories or container images, then builds, deploys, and scales components while handling the underlying infrastructure.

Heroku has one model. Dynos are Heroku-managed Linux containers, and all Heroku applications run on dynos.

If you want a PaaS, read the App Platform vs dynos section next. If you're considering running your own servers, skip to the Droplets section.

App Platform vs Heroku dynos

This is the like-for-like comparison: two platforms that build and run your code for you.

Deploy model

App Platform can build code from GitHub, GitLab, or public Git repositories, or publish a container image from DigitalOcean Container Registry or Docker Hub. It builds dynamic apps in Node.js, Python, Go, Ruby, PHP, or Docker and provisions TLS certificates automatically.

Heroku supports deploying with Git and Docker, with automated certificate management, from the lowest dyno tier up. Heroku also offers two platform generations: Cedar, for full platform integration, and the Kubernetes-based Fir, for more observability and control. Fir is generally available only in Fir Private Spaces, and Heroku's documentation on platform generations lists Common Runtime support for Fir as still to be added.

Process types

On App Platform, an app consists of components such as web services, databases, or workers, and each component runs in its own container. Paid apps can include jobs, web services, workers, and static sites.

On Heroku, web dynos handle HTTP traffic, worker dynos run background jobs and queues, and one-off dynos handle admin tasks like database migrations. Eco dynos allow 2 process types, Basic dynos allow 10, and Standard dynos allow unlimited process types.

Scaling

App Platform's fixed shared instances limit a component to one container. Most other plans let you add containers. Request-based autoscaling works on both shared and dedicated CPU plans. It scales on HTTP request metrics, so it applies only to service components that receive external traffic, not workers. CPU-based autoscaling requires dedicated CPUs. Instance sizes range from 512 MB to 32 GB of RAM.

On Heroku, Eco and Basic dynos support a maximum of one running dyno per process type. Horizontal scaling starts with Standard dynos, and autoscaling comes with Performance dynos. A process type on Performance, Private, or Shield dynos can't scale past 10 dynos. By default, an app can run 100 dynos across all process types.

Operational behavior worth knowing

• Eco dynos sleep after 30 minutes of inactivity.
• Heroku gives HTTP requests an initial 30-second window for the web process to return response data.
• Each dyno has an ephemeral filesystem.
• App Platform keeps up to 10 revisions for rollbacks on its paid tier.

Ecosystem

Heroku positions its ecosystem around expanding app functionality and integrating with data sources, including Salesforce CRM and Data Cloud. DigitalOcean positions App Platform as an entry point into its own catalog, including Managed Kubernetes, Spaces object storage, and Droplets. Managed Databases cover MongoDB, Kafka, MySQL, PostgreSQL, and caching engines.

Neither approach is strictly better. Heroku fits teams that want third-party integrations and Salesforce ties. DigitalOcean fits teams that want one vendor for everything.

Side by side

On both platforms, you connect a repo, define the components or processes your app runs, and watch builds. The difference shows up as you grow. App Platform sizes in small steps. DigitalOcean's own migration guide notes that scaling past 2.5 GB doesn't require jumping to 14 GB.

Droplets, the DIY path, and what it costs in time

Droplets have the lowest list prices here. A Basic Droplet starts at $4/month for 512 MiB, and 1 GiB costs $6/month. You can find current list prices on DigitalOcean's pricing page. The catch is that you become the platform team.

What you assemble yourself

• OS updates and security patching. You manage the operating system.
• Droplet setup. DigitalOcean recommends configuring each new Droplet for security and usability after you create it. Cloud firewalls are free.
• Server management. On an unmanaged server, this is your responsibility.
• Applications and data. You manage these yourself too.
• Deploy pipeline and rollbacks. You build your own pipeline. Droplets give you a server you reach over SSH.
• Backups and snapshots. Backups are a paid add-on at 20% (weekly) or 30% (daily) of Droplet cost, or usage-based from $0.01/GiB per month. Snapshots cost $0.06/GB per month.
• Monitoring and alerting. DigitalOcean Monitoring can send alerts by email or Slack, but you define the policies.
• Scaling and load balancing. You resize the Droplet to a larger plan yourself.
• Database hosting. You either self-manage Postgres on a Droplet or pay for Managed Databases, which DigitalOcean describes as an alternative to installing, configuring, maintaining, and securing databases yourself.

Quantifying the time cost

The following numbers are illustrative estimates, not measured or published figures:

• Initial setup: about 8 to 16 hours to harden a server and wire up TLS, a process manager, a deploy script, backups, and alerts.
• Ongoing maintenance: about 2 to 4 hours per month for patching, certificate checks, log review, and the occasional incident.

Now compare the prices. Running a web dyno and a worker dyno on Heroku Basic costs $14/month. A single $6 Droplet can host both processes, which saves you $8/month.

Even a couple of hours of monthly maintenance can outweigh that saving, before you count setup. The math only favors Droplets when your compute bill is large enough, or your time is cheap enough, to absorb the work.

When DIY is worth it

• You're learning how servers, networking, and Linux work.
• You need unusual system packages or kernel-level configuration.
• You need full root control.
• You run a steady, cost-sensitive workload and already have ops skills in-house.

Managed Postgres on both

The database holds the data you can't regenerate, so its recovery and availability options deserve the closest look.

DigitalOcean Managed Databases for PostgreSQL

The Standard plan starts at $15.15/month for 1 GiB of RAM, 1 vCPU, and 10 to 30 GiB of storage. Clusters include daily backups with point-in-time recovery (PITR), standby nodes for high availability, and end-to-end SSL encryption. PITR in PostgreSQL works by replaying archived write-ahead logs onto a base backup. The PostgreSQL documentation on continuous archiving explains the mechanism.

High availability clusters pair a 2 GiB primary with at least one matching standby node. At the 2 GiB list price, that pair costs $60.90/month. Read-only nodes start at $15/month and run in additional regions.

One timing change matters. From 15 October 2026 for new accounts, and from 30 November 2026 for all accounts, new Standard Edition clusters can't use plans above 4 GiB of RAM or add standby or read-only nodes. Once the change applies to an account, high availability on a new cluster means Advanced Edition. Advanced Edition starts at $130/month for an 8 GiB/2 vCPU primary, and DigitalOcean bills standby nodes at the same rate. Advanced Edition includes a consensus-based HA manager and a connection pooler.

Heroku Postgres

Heroku's Essential tier starts at $5/month for Essential-0, with 1 GB of storage and 20 connections. The Essential tier has no fork or follow support, targets 99.5% monthly uptime, and has unannounced maintenance. It also has no rollback and no HA.

Heroku groups Standard, Premium, Private, and Shield as classic tiers. The Standard (Classic) tier adds followers (read replicas) and 4 days of rollback, without HA. The Premium (Classic) tier adds HA and 1 week of rollback, starting at $200/month for Premium-0. Heroku also sells an Advanced tier that supports fork, followers, rollback, and HA. Its entry plan level is 4G-Performance, with 4 GB of RAM and 2 vCPU. All tiers get physical backups, plus optional free daily logical backups through PGBackups. Connections require TLS 1.2 or higher. Only verified Heroku Teams and Heroku Enterprise customers can use Postgres in Private Spaces.

Side-by-side comparison

Which database option to choose

On Droplets, you can host databases such as MySQL, PostgreSQL, or MongoDB. Self-hosting adds backups, version upgrades, and failover to the maintenance list from the previous section.

App Platform's $7 development database has more limited capabilities than a Managed Database. DigitalOcean doesn't back it up by default, only the app it belongs to can use it, and destroying the app destroys the database too.

For a prototype, Heroku Essential is the cheapest managed option. For a production app that needs replicas or recovery guarantees, compare Heroku Standard or Premium against DigitalOcean, and keep the Standard Edition cutoff in mind.

Pricing for a representative app

The representative app has:

• one web service,
• one background worker,
• one small managed Postgres database with about 10 GB of storage, and.
• roughly 1 GB of total app memory, always on.

The storage and memory figures are assumptions for this model app, not vendor figures.

No two platforms match exactly. Each column uses the cheapest always-on plan that fits the app. Heroku Essential-1 matches DigitalOcean's 10 GiB minimum storage, but it runs on shared RAM. On Droplets, the web service and worker share one 1 GiB server. The self-hosted column moves to 2 GiB to make room for Postgres. All prices are list prices in US dollars as published on each vendor's pricing page. We computed the totals for this article. You can find current Heroku prices on Heroku's pricing page.

Where the crossover happens

At this size, three of the four options land within about $3 of each other. The self-hosted Droplet saves you $8.60/month compared to Heroku. Even a small amount of monthly maintenance time can erase that saving.

The gap widens once you need production features. Moving both Heroku dynos to Standard-1X, to get horizontal scaling and zero-downtime deploys, raises compute from $14 to $50/month. App Platform doesn't cap its non-fixed shared instances at one container, and the 1 GiB size costs $12/month. Droplets pull ahead only at larger, steady compute sizes, where the monthly saving outgrows a fixed ops time cost.

Every figure here is a snapshot. All three vendors change plan names, prices, and limits, so treat this table as a model for your own math, not a quote.

Who should pick which

Pick Heroku if

• You want Heroku's ecosystem, including Salesforce integrations.
• You already run apps on Heroku, or your team knows it well.
• You need compliance-focused compute: Shield dynos support signing BAAs for HIPAA, but they require a Private Space.

On 6 February 2026, Heroku announced that it is "transitioning to a sustaining engineering model focused on stability, security, reliability, and support," with an emphasis on quality "rather than introducing new features," and that "Enterprise Account contracts will no longer be offered to new customers," while existing customers keep their current pricing and contracts.

Pick DigitalOcean App Platform if

• You want PaaS convenience at lower entry prices for always-on containers.
• You want finer-grained instance sizes as you grow.
• You want room to move into Droplets or Managed Kubernetes later without changing vendors.

Pick DigitalOcean Droplets if

• You have ops skills and time to spend on them.
• You need root access to the server and control over the operating system.
• You run a steady workload where raw compute cost dominates the bill.

Pick neither (yet) if

Your app depends on a requirement, such as a specific network control or recovery guarantee, that the vendor doesn't document for the plan you'd actually buy. Confirm that requirement before you migrate.

Decide on IaaS or PaaS first. Then choose the vendor.

A third option: Render

Render runs the same representative app for about $36/month on the $0 Hobby workspace plan. That covers two $7 instances with 512 MB RAM for the web service and background worker, a $19 Postgres instance with 1 GB RAM, and $2.70 for 9 GB of storage beyond the included 1 GB.

The production features that cost extra on Heroku come with that plan:

• Every Render service redeploys with zero downtime, unless it attaches a persistent disk.
• Manual horizontal scaling is available on all Render workspaces, including Hobby.
• Paid Render Postgres databases get point-in-time recovery: the past 3 days on Hobby, and the past 7 days on Pro or higher.

Here's the comparison with zero-downtime deploys and horizontal scaling on all three platforms, using this article's own figures. Heroku needs two Standard-1X dynos ($50) plus Essential-1 ($9), for $59/month. App Platform needs two of its cheapest scalable shared instances (1 GiB, $12 each) plus Managed Postgres ($15.15), for $39.15/month. Render costs about $36/month. We computed these totals for this article. At this spec, Render is the cheapest of the three platforms that deliver those features.

If the sustaining engineering announcement has you leaving Heroku, Render's Heroku migration guide maps dynos, config vars, and Heroku Postgres to their Render equivalents.

Render isn't the right fit for every case. Autoscaling on Render requires a Pro workspace or higher. At the bare minimum, without zero-downtime deploys or scaling, Heroku Basic ($23), DigitalOcean's fixed App Platform instances ($25.15), and Droplets ($14.40 to $22.35) cost less, as the pricing table shows.

Once this app needs production features like zero-downtime deploys, horizontal scaling, and database recovery, Render is the strongest pick of the platforms in this article.

Frequently asked questions