Every comparison of these two you will find online is a feature table, and feature tables answer a question nobody has. AWS has more of everything. That is not in dispute and it is not the deciding factor, because you are going to use six services and both providers have all six.
The question that decides it is who is going to operate this on a Tuesday afternoon when something is wrong, and how much of their attention you can afford to spend.
The six services you will actually use
| What you need | On AWS | On DigitalOcean |
|---|---|---|
| Run the app | ECS Fargate, or App Runner | App Platform, or Droplets |
| Database | RDS or Aurora Serverless v2 | Managed PostgreSQL |
| File uploads | S3 | Spaces (S3-compatible) |
| Serve it at your domain | Route 53 + ACM + CloudFront | Domains + automatic Let's Encrypt |
| Secrets | Secrets Manager or SSM Parameter Store | App-level env vars, or a secrets store |
| Logs and alerts | CloudWatch | Built-in monitoring, or a third party |
Both columns work. Both are boring, mature technology. If you were choosing purely on capability you would flip a coin, and if you flipped it you would be fine.
The real difference: surface area
AWS's advantage and its cost are the same thing. Roughly two hundred services means there is a managed answer to almost any problem you eventually have - a queue, a search index, a data warehouse, an on-demand GPU, a compliance attestation for a regulated buyer. It also means IAM, VPCs, security groups, subnets, NAT gateways, and a console with more ways to accidentally leave something public than any one person can hold in their head.
That surface area is a real, recurring cost paid in attention. It is entirely worth it when there is someone whose job includes paying it. It is a bad trade when the person paying it is the founder who should be talking to customers.
DigitalOcean's catalogue is small enough to learn in a weekend. The pricing is published and flat: a droplet is a droplet, a database is a fixed monthly number, and bandwidth comes in an allowance generous enough that most products never think about it. There is no invoice that arrives forty per cent higher than last month for reasons that need a spreadsheet to reconstruct.
A decision framework that fits in a paragraph
Choose DigitalOcean if the honest answer to “who operates this” is “me, between other things”, your workload is a web app with a database, and predictable pricing matters more than optionality. Choose AWS if you have or will hire someone who owns infrastructure, you need a service outside the core six, you have a region or residency requirement, or you are selling to buyers whose procurement process has opinions about your cloud.
That last one is underrated and it is not about technical merit. Enterprise security reviews go faster when the answers are the ones the reviewer has read a hundred times before.
What it costs, roughly
| Component | DigitalOcean | AWS | Note |
|---|---|---|---|
| App hosting, two instances | $24 – $96 / mo | $30 – $110 / mo | Comparable. AWS wins at scale with reserved capacity, loses on small always-on workloads. |
| Managed Postgres | $15 – $120 / mo | $25 – $180 / mo | Aurora Serverless v2 can be cheaper for genuinely spiky traffic and is worse for steady load. |
| Object storage | $5 / mo for 250 GB | Per GB plus per request | S3 is cheaper at rest and gets you on egress. Spaces bundles both. |
| Load balancer | $12 / mo | $18 – $25 / mo | Both charge for processed data on top of the hourly rate. |
| Typical small production total | $45 – $270 / mo | $60 – $350 / mo | Vendor list prices at the time of writing. Close enough that cost should not decide this. |
When the answer is neither
- Your app is a stateless frontend plus a managed database. Vercel or Netlify with Supabase or Neon is less to operate than either of these, and you can move later because it is all standard Postgres.
- You have long-running processes, websockets, or background workers and a small team. Fly or Render fit that shape more comfortably than a first ECS cluster.
- You are cost-constrained and technically comfortable. Hetzner is dramatically cheaper for raw compute. You are trading managed services for money, deliberately, and that is a legitimate trade if you know you are making it.
- You are pre-product-market-fit. Stay where you are, spend the week on separating environments and turning on backups, and revisit this when something is actually straining.
Whichever you choose, do these five things
The provider matters less than whether the deployment is set up like a production system. These five are the difference, and they are identical on both.
- Define everything as code. Terraform works on both. Click-ops means the environment cannot be recreated, and a environment that cannot be recreated cannot be recovered.
- Run at least two application instances. One instance means every deploy is an outage and every crash is downtime.
- Put the database on a private network. It should not have a public address at all, on either provider.
- Turn on point-in-time recovery and perform one restore. Time it. That number is your recovery time objective.
- Set a billing alert on day one, before the first surprise rather than after it.
Do that and you can move between providers later without it being a crisis, which is the actual goal. The point of migrating off builder hosting was never to arrive somewhere final. It was to stop being somewhere you cannot leave.
Written by Kato Chojiro
Takes AI-built MVPs to production: security, data, and the infrastructure underneath.
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