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It's a split decision.
Choose Vultr if you want infrastructure options including bare metal, GPUs, and hourly VX1 instances starting at $0.060. Choose DigitalOcean if you want a published $4/month Droplet starting price, some free services, and compute, databases, and AI tools in one account. These prices cover different products and billing units, so compare the specific workload and add-ons before switching. Neither source publishes team-seat pricing; DigitalOcean lists free email support, while Vultr support details are not provided here.
01Side by side
| Vultr | DigitalOcean | |
|---|---|---|
| Starting price | VX1 from $0.060/hour | Droplets from $4/month |
| Free plan | No free plan listed | Yes; App Platform and Functions include free options |
| Best for | Teams needing flexible cloud and bare-metal infrastructure | Teams building apps, agents, and AI workloads |
| Core strength | Compute choices, bare metal, GPUs, and storage | Compute, inference, databases, and agent tools |
| Learning curve | Ease-of-use review score: 7/10 | Ease-of-use review score: 7.5/10 |
| Integrations/data | Marketplace apps; S3-compatible object storage | Compute, inference, databases, and storage in one account |
| Team/seat costs | Not published on the vendor's site | Not published on the vendor's site |
| Support | Support review score: 6/10 | Support review score: 6/10; free email support listed |
Vultr Choose Vultr if
- Choose Vultr if you need bare-metal servers alongside cloud compute.
- Choose Vultr if hourly VX1 billing suits your workload.
- Choose Vultr if GPU, NVMe, or object-storage options matter.
DigitalOcean Choose DigitalOcean if
- Choose DigitalOcean if a $4/month Droplet starting price fits.
- Choose DigitalOcean if you want free App Platform or Functions options.
- Choose DigitalOcean if you need hosted inference and agent tools.
02Pricing compared
DigitalOcean publishes a $4/month starting price for Droplets, with per-second billing and a 60-second minimum or $0.01 minimum charge. Vultr’s VX1 instances start at $0.060/hour for General Purpose with Block Storage; the listed entry configuration has 2 vCPUs, 8 GB memory and 5 TB bandwidth. VX1 is billed for actual hours used, with no 672-hour cap. Those are different products and billing units, so the starting figures are not a like-for-like price comparison.
DigitalOcean also lists free App Platform and Functions tiers, plus free email support. Other costs can add up: managed databases start at $15/month, Spaces at $5/month, and weekly Droplet backups cost 20% of the Droplet price. Vultr’s published pricing details do not list a free plan or support pricing. Compare the full workload, storage and bandwidth needs before switching.
03Features and depth
Vultr’s listed infrastructure spans virtual machines, bare metal, GPU compute, S3-compatible Object Storage and NVMe-backed Block Storage. It also offers managed Kubernetes, databases and serverless inference, plus Marketplace images for deploying preconfigured applications. VX1 has General Purpose and Memory Optimized options, each with Block Storage or local NVMe variants.
DigitalOcean combines Droplets, GPU compute, Managed Kubernetes, App Platform and Functions with managed databases, storage and networking. Its listed database options include PostgreSQL, MySQL, MongoDB and Kafka; Spaces provides S3-compatible object storage with a built-in CDN. The AI offering goes further than basic infrastructure: it lists model inference, isolated MicroVMs for coding agents, an Action Gateway for tools, and evaluation tools for LLM outputs.
Choose Vultr when bare metal or its VX1 configurations fit the workload. Choose DigitalOcean when you want its listed app, database and AI services in one account. The published DigitalOcean list does not specify bare-metal servers.
04Ease of use and learning curve
Both platforms target developers, but the published information does not establish which dashboard is easier or how their migration tools compare. Vultr lists preconfigured Marketplace applications and single-click deployment workflows, which may reduce setup work for supported stacks. It also offers several compute types and storage choices, so teams still need to match the configuration to their workload.
DigitalOcean groups compute, inference, databases, storage and networking in one account and bill. Its listed services include managed app deployment, Kubernetes and databases, alongside usage-based products and add-ons. That breadth can reduce the need to assemble separate vendors, but it also means checking each service’s price and billing unit. Neither source provides team-seat pricing. DigitalOcean lists free email support; Vultr support details were not provided.
Questions people ask
What is the difference between DigitalOcean and AWS?
The published information compares Vultr with DigitalOcean, not AWS, so it does not support a detailed DigitalOcean-versus-AWS comparison. DigitalOcean lists Droplets from $4/month, managed databases, Kubernetes and AI services. For an AWS comparison, check equivalent services, regions, usage charges and support plans on both providers’ current pricing pages.
Is Vultr cloud good?
Vultr may suit teams looking for cloud infrastructure choices such as virtual machines, bare metal, GPUs, storage and managed services. Its VX1 instances start at $0.060/hour, according to the published pricing details. The review rates it 7.7/10, while noting that buyers should check plan details and support expectations before migrating.
Is DigitalOcean a VPN?
DigitalOcean is described in the published product information as a cloud platform for apps, agents, compute, databases, storage and networking. The listed services include VPCs and networking, but the source does not list a consumer VPN service. If you need a VPN product, verify that requirement directly with DigitalOcean before buying.
Is Vultr cheaper than AWS?
The published pricing information does not include AWS rates, so we can’t establish whether Vultr is cheaper. Vultr VX1 General Purpose with Block Storage starts at $0.060/hour, billed for actual hours used. Compare equivalent instance sizes, storage, bandwidth, regions and support costs against AWS pricing for your workload.