Vultr vs DataPacket
A detailed comparison to help you choose between Vultr and DataPacket.
Quick Verdict
4.0/5
Vultr
0 reviews
3.9/5
DataPacket
0 reviews
Vultr is rated higher (4.0 vs 3.9). Vultr is a cloud platform offering VPS, bare metal servers, and Kubernetes hosting across 32 data centers worldwide. Built for developers and businesses needing scalable, reliable compute resources with transparent billing. DataPacket offers dedicated servers and bare metal across 35 datacenter locations globally. Custom hardware, BGP sessions available, and 100Gbps uplinks on premium servers.
Vultr High-performance cloud infrastructure with global data centers and competitive pricing | DataPacket Global bare metal with 67 datacenter locations | |
|---|---|---|
| Overview | ||
| Rating | 4.0 (0 reviews)✓ | 3.9 (0 reviews) |
| Pricing model | paid | paid |
| Starting price | From $2.5/mo✓ | From $240/mo |
| Best for | Teams needing low-latency compute across multiple continents, API-first fleets, and self-serve GPU or bare metal with predictable billing | Network-intensive operators — CDNs, video and streaming platforms, VPN providers, game-traffic and mirror hosts — whose costs are driven by bandwidth volume |
| Specifications (entry plan) | ||
| CPU cores | 1 vCPU | — |
| RAM | 1 GB | — |
| Storage | 10 GB | — |
| Bandwidth | 1 TB/mo | — |
| SLA uptime | 100% | — |
| Data-center count | 34 | 67✓ |
| €/vCPU/mo | €2.50 | — |
| €/GB RAM/mo | €2.50 | — |
| Performance | ||
| CPU score (sysbench) | 4,100 | — |
| Disk read (fio) | 1,800 MB/s | — |
| Disk IOPS (4K random) | 38,000 | — |
| Network out | 1 Gbps | — |
| Latency (TTFB) | 24 ms | — |
| Features | ||
| IPv6 | ||
| DDoS protection | ||
| Automated backups | ||
| Snapshots | ||
| Managed option | ||
| Bare metal | ||
| GPU available | ||
| S3-compatible | ||
| Hourly billing | ||
| Free tier | ||
| Data-center locations | ||
| Regions | 34 regions across North/South America, Europe, Asia, Australia, Africa (see locations page) | — |
| Tags | ||
| Tags | hourly billingnvme storageipv6ddos protectionbackups includedsnapshotsbare metalgpu availables3 compatibleeu datacenterus datacenterapac datacenterterraform providerapi accesswindows available | nvme storageipv6ddos protectioneu datacenterus datacenterapac datacenter |
| Visit Vultr → | Visit DataPacket → | |
Vultr
Pros
- + Truly global: 34 regions on six continents from one console, one API, one price list - with per-region test IPs published
- + Fully published hourly and monthly pricing from $2.50/mo, mature REST API and Terraform provider
- + 100% network and host-node uptime SLA with credits; standardized platform behavior across every region
- + Broad self-serve catalog: NVMe optimized VMs, NVIDIA/AMD GPUs, bare metal, managed databases/Kafka, S3-compatible object storage, VKE
Cons
- - Price-performance trails European leaders: our measured HF 2GB (Amsterdam) had the slowest NVMe storage of six tested providers at a mid-range price
- - Backups cost 20% of instance price, snapshots bill per GB, Windows and extra egress are add-ons
- - No refunds in the terms of service; support is ticket-only for self-serve customers
- - Overlapping instance families (Cloud Compute, VX1, Optimized) make it easy to pick a stale SKU; region count differs across Vultr's own pages (32/33/34)
DataPacket
Pros
- + Unshared 50-200 Gbps uplinks with unmetered traffic and no egress billing
- + 67 data centre locations on six continents on a private 330+ Tbps backbone
- + Current-generation AMD EPYC + NVMe + DDR5 hardware, in-stock machines deploy in about a day
- + DDoS Shield included, one IPv4 free per server, free /64 IPv6 blocks
- + Network-heavy reference customers (Discord, bunny.net, Nodecraft, Livepeer) validate traffic-spike resilience
Cons
- - $240/mo entry price excludes small and hobby workloads entirely
- - No cloud platform services: no snapshots, managed databases or autoscaling groups
- - Custom hardware, BYO IP and top uplink tiers are quote-only through sales
- - Thin third-party documentation and community content outside the company's own support
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