DigitalOcean vs Vultr
Compare these providers side by side, then jump into workload pages where the same pair overlaps on Docker, WordPress, databases, and other specific use cases.
| Feature |  |  |
|---|---|---|
| Starting Price | $6.00/month | $5.00/month Best Price |
| Entry Plan Specs | 1 vCPU 1GB RAM 25GB SSD | 1 vCPU 1GB RAM 25GB SSD |
| CPU Score (Single) | 1,120 | 1,180 Fastest |
| Disk Read Speed | 580MB/s | 620MB/s Fastest |
| Network Throughput | 4,800Mbps | 5,200Mbps Fastest |
| Boot Time | 32.4seconds | 28.6seconds Quickest |
| Datacenter Regions | 8 locations | 12 locations |
| Hourly Billing | ||
| Support | ticket email community | ticket email |
| Get Started | Visit DigitalOcean | Visit Vultr |
Compare These Providers by Workload
DigitalOcean vs Vultr for Node.js
Affordable VPS options with good CPU performance for running Node.js applications.
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DigitalOcean vs Vultr for Best Windows VPS
VPS providers offering Windows Server with RDP access, good performance, and competitive pricing.
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DigitalOcean vs Vultr for Best Linux VPS
Top Linux VPS providers supporting Ubuntu, Debian, CentOS, and other distributions.
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DigitalOcean vs Vultr for LLM Hosting
High-memory and GPU-capable VPS for hosting large language models and AI workloads.
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DigitalOcean vs Vultr for n8n
Affordable VPS with good uptime for running n8n workflow automation.
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DigitalOcean vs Vultr for Developers
Developer-friendly VPS with good APIs, CLI tools, and documentation.
Open comparison
Analysis
DigitalOcean
Developer-focused cloud platform with excellent documentation and a simple, intuitive interface. Known for pioneering the $5 Droplet and making cloud hosting accessible.
Starting plan: $6.00/mo
CPU score: 1120
Disk read: 580 MB/s
Vultr
Cloud compute platform with the widest datacenter selection. Offers competitive pricing and a variety of compute options including bare metal and GPU instances.
Starting plan: $5.00/mo
CPU score: 1180
Disk read: 620 MB/s
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FAQ
Which provider is cheaper: DigitalOcean or Vultr?
Use the comparison table to check the cheapest entry plans first, then move to the workload-specific pages if you need minimum RAM, CPU, or storage filters.
Should I use the generic comparison or a workload comparison?
Use the generic comparison when you are still narrowing providers down broadly. Use the workload pages once you know the app or use case you care about.
Are these comparisons based on live benchmark data?
They are based on the current repository dataset, with the latest benchmark snapshot dated Mar 2, 2026.