AWS vs DigitalOcean: Which Is Actually Cheaper for a Small App in 2026?

At 100 GB/month outbound bandwidth, AWS and DigitalOcean cost nearly the same for a small web app. Bump that to 500 GB/month and DigitalOcean becomes 45% cheaper, entirely because of AWS egress pricing.

Most AWS vs DigitalOcean comparisons spend half their word count talking about enterprise features that neither platform gets used for at small scale: global availability zones, compliance certifications, managed Kubernetes at 50-node clusters. None of that matters if you are running a side project or an early-stage product with real users but not yet real scale.

The question worth answering is narrower: one web server, one managed Postgres database, 50 GB of storage, and a defined bandwidth budget. What does that cost per month on each platform, in actual dollars, today?

The Workload Definition

To keep this comparison honest, the workload is fixed: a single 2 GB RAM / 1 vCPU web server, a managed Postgres instance with 2 GB RAM and 30 GB storage, and outbound bandwidth of 100 GB/month in the base scenario. This covers a wide range of real applications: a Django or Rails app, a Next.js backend, a small API, a SaaS MVP.

Backups are noted separately since opinions differ on whether they are optional. Storage for the web server is assumed at a standard 25 GB SSD root volume on AWS side.

Scenario 1: 100 GB Outbound per Month

At 100 GB outbound, AWS is marginally cheaper: $41.10 vs $42.45 per month. The reason DO costs slightly more here is that DigitalOcean's managed Postgres pricing starts higher than RDS db.t4g.small for the same RAM spec. The DO Droplet is $3 cheaper than EC2 t3.small, but RDS saves $4.53 more, pushing AWS just below DO's total.

In practical terms, this is noise. The $1.35/month difference is not a reason to choose either platform. At this bandwidth level, the decision comes down to everything else: setup complexity, support, developer experience, and which specific services you need.

Scenario 2: 500 GB Outbound per Month

This is where the comparison diverges sharply. DigitalOcean includes 2 TB/month of outbound transfer pooled across all Droplets. Moving from 100 GB to 500 GB outbound costs DigitalOcean customers exactly $0 extra.

On AWS, the first 100 GB of egress is free each month. After that, outbound data transfer from EC2 to the internet in us-east-1 costs $0.09/GB. At 500 GB total outbound, you are paying for 400 GB at that rate.

At 500 GB/month outbound, DigitalOcean is 45% cheaper than AWS. The gap only widens from there. At 1 TB outbound, AWS adds another $45 in egress on top of the $77.10 total, while DigitalOcean still costs $42.45. AWS egress pricing is not a hidden cost, it is just one that is easy to ignore until the bill arrives.

Setup Complexity: The Hidden Cost

The dollar figures above do not capture time. Getting a basic web app running on AWS involves creating a VPC, configuring subnets and route tables, setting up security groups, creating IAM roles for your EC2 instance, configuring an RDS subnet group, and then actually launching the resources. Realistically, 2 to 4 hours for someone who has not done it recently, longer if you are doing it for the first time.

On DigitalOcean, you pick a Droplet size, pick a region, and SSH in. Managed Postgres is a few clicks. The entire setup is under 30 minutes for most developers. That time difference has real value if you are trying to ship product.

AWS complexity pays off when you need what AWS uniquely offers: Lambda with 1 million free requests per month (always free tier, not just the first year), SQS for message queuing, Cognito for user authentication at scale. None of those have direct DigitalOcean equivalents. If your architecture depends on them, you are on AWS regardless of compute pricing.

What About AWS Free Tier Credits?

New AWS accounts get up to $200 in credits, and legacy accounts still on the 12-month free tier get the EC2 t3.micro (1 GB RAM) free for the first year. If you can run your app on 1 GB RAM, the free tier EC2 + $200 credits could cover several months of costs. That is worth taking seriously if you are pre-launch and genuinely uncertain whether the project will survive.

The AWS free tier details matter here: the t3.micro is 1 GB RAM, not 2 GB. Many modern frameworks are uncomfortable at 1 GB with a production database connection pool running. You may find yourself upgrading to t3.small within a month anyway, at which point the free tier advantage disappears.

DigitalOcean's new account credits run to $200 for 60 days. At $42.45/month for this workload, that covers roughly 4.5 months of real usage. For a side project or MVP, that is a meaningful runway with no credit card risk during the trial period.

The Verdict

For this specific workload at low bandwidth, AWS and DigitalOcean are cost-equivalent within rounding error. The moment bandwidth exceeds 100 GB/month, DigitalOcean pulls ahead and the gap compounds quickly. At 500 GB outbound, you are saving over $34/month on DigitalOcean, which is meaningful for a bootstrapped project.

Pick AWS at small scale only if: you need a specific managed service with no DO equivalent (Lambda, SQS, Cognito, Step Functions), you are already inside an AWS organization with existing credits, or you know the project will grow into multi-region or compliance-sensitive territory within 12 months.

Pick DigitalOcean if: you want to ship fast, keep your bill predictable, and are not betting your architecture on AWS-specific primitives. The simpler console, the included bandwidth pool, and the flat Droplet pricing make it the obvious default for small apps with any meaningful outbound traffic.

For readers who want the full three-provider comparison including Vultr, pricing at multiple workload tiers, and a provider recommendation matrix, that breakdown is in the AWS vs DigitalOcean vs Vultr comparison.