{"slug":"aws-vs-digitalocean)","title":"AWS vs DigitalOcean","url":"https://www.aversusb.net/compare/aws-vs-digitalocean)","faqCount":5,"faqs":[{"question":"Which is cheaper for small projects?","answer":"DigitalOcean is significantly cheaper for small projects. A basic DigitalOcean Droplet costs $5.99-$12/month with predictable pricing, while AWS's free tier covers limited usage and costs escalate quickly once you exceed thresholds. For a simple WordPress blog or API, DigitalOcean saves 70-80% annually."},{"question":"Can I scale from DigitalOcean to AWS later?","answer":"Yes, but migration requires planning. Both use standard Linux/Docker, so applications are portable. However, AWS-specific services (Lambda, SageMaker, DynamoDB) have no direct DigitalOcean equivalents. Plan to refactor 20-40% of infrastructure if moving to leverage AWS's unique services."},{"question":"Which is better for machine learning projects?","answer":"AWS is the clear winner with 40+ ML services including SageMaker, Rekognition, Forecast, and Textract. DigitalOcean doesn't offer managed ML services—you'd manually configure TensorFlow or PyTorch on a Droplet. AWS reduces ML deployment time by 60-70% through pre-built models and training pipelines."},{"question":"How easy is it to estimate costs upfront?","answer":"DigitalOcean's pricing is transparent and predictable: a $12/month Droplet with 2GB RAM costs exactly that. AWS requires using their pricing calculator with 100+ variables (storage, data transfer, compute hours, service combinations), making accurate estimates difficult without expert analysis."},{"question":"Which has better documentation for beginners?","answer":"DigitalOcean's documentation is beginner-friendly with step-by-step tutorials, often completable in 15-30 minutes. AWS documentation is comprehensive but dense, requiring 2-3 hours to deploy equivalent infrastructure. DigitalOcean's community tutorials are 10x more abundant for basic use cases."}],"faqPageSchema":{"@context":"https://schema.org","@type":"FAQPage","@id":"https://www.aversusb.net/compare/aws-vs-digitalocean)#faq","url":"https://www.aversusb.net/compare/aws-vs-digitalocean)","inLanguage":"en-US","name":"AWS vs DigitalOcean — FAQ","description":"Frequently asked questions about AWS vs DigitalOcean","dateModified":"2026-07-09T08:27:08.849Z","author":{"@type":"Organization","@id":"https://www.aversusb.net/#organization","name":"A Versus B"},"publisher":{"@type":"Organization","@id":"https://www.aversusb.net/#organization","name":"A Versus B"},"isPartOf":{"@type":"Article","@id":"https://www.aversusb.net/compare/aws-vs-digitalocean)#article"},"license":"https://creativecommons.org/licenses/by/4.0/","speakable":{"@type":"SpeakableSpecification","cssSelector":["#faq",".faq-item"]},"mainEntity":[{"@type":"Question","name":"Which is cheaper for small projects?","acceptedAnswer":{"@type":"Answer","text":"DigitalOcean is significantly cheaper for small projects. A basic DigitalOcean Droplet costs $5.99-$12/month with predictable pricing, while AWS's free tier covers limited usage and costs escalate quickly once you exceed thresholds. For a simple WordPress blog or API, DigitalOcean saves 70-80% annually.","inLanguage":"en-US","url":"https://www.aversusb.net/compare/aws-vs-digitalocean)"}},{"@type":"Question","name":"Can I scale from DigitalOcean to AWS later?","acceptedAnswer":{"@type":"Answer","text":"Yes, but migration requires planning. Both use standard Linux/Docker, so applications are portable. However, AWS-specific services (Lambda, SageMaker, DynamoDB) have no direct DigitalOcean equivalents. Plan to refactor 20-40% of infrastructure if moving to leverage AWS's unique services.","inLanguage":"en-US","url":"https://www.aversusb.net/compare/aws-vs-digitalocean)"}},{"@type":"Question","name":"Which is better for machine learning projects?","acceptedAnswer":{"@type":"Answer","text":"AWS is the clear winner with 40+ ML services including SageMaker, Rekognition, Forecast, and Textract. DigitalOcean doesn't offer managed ML services—you'd manually configure TensorFlow or PyTorch on a Droplet. AWS reduces ML deployment time by 60-70% through pre-built models and training pipelines.","inLanguage":"en-US","url":"https://www.aversusb.net/compare/aws-vs-digitalocean)"}},{"@type":"Question","name":"How easy is it to estimate costs upfront?","acceptedAnswer":{"@type":"Answer","text":"DigitalOcean's pricing is transparent and predictable: a $12/month Droplet with 2GB RAM costs exactly that. AWS requires using their pricing calculator with 100+ variables (storage, data transfer, compute hours, service combinations), making accurate estimates difficult without expert analysis.","inLanguage":"en-US","url":"https://www.aversusb.net/compare/aws-vs-digitalocean)"}},{"@type":"Question","name":"Which has better documentation for beginners?","acceptedAnswer":{"@type":"Answer","text":"DigitalOcean's documentation is beginner-friendly with step-by-step tutorials, often completable in 15-30 minutes. AWS documentation is comprehensive but dense, requiring 2-3 hours to deploy equivalent infrastructure. DigitalOcean's community tutorials are 10x more abundant for basic use cases.","inLanguage":"en-US","url":"https://www.aversusb.net/compare/aws-vs-digitalocean)"}}]}}