🆚 Gigas vs. Stackscale

Type

Cloud service provider
Cloud service provider

About

Gigas is a Spanish sovereign cloud provider that offers Cloud Datacenter and Cloud VPS IaaS, backup, load balancing, and firewall services.

It operates from 9 data centers in Spain, Portugal, Ireland, the United States, Colombia, Chile, and Peru, and offers KVM-based virtualization with a Type 1 bare-metal hypervisor, NetApp storage, HP blade servers, Cisco networking, Intel Xeon Gold processors, and support for Ceph, LVM, and NFS storage backends.

Stackscale is a Spanish IaaS and private cloud provider that delivers cloud infrastructure, bare-metal servers, and GPU instances through an automated cloud model with Terraform and Ansible integration, operating from data centers in Madrid and Amsterdam.

Headquarters

Madrid, Spain
Madrid, Spain

Website

Pricing

Free version ❌
Custom
Free version ❌
€395+/month

Categories

Cloud Services › Rank #60
Cloud Services › Rank #63

Popularity

Determined by the number of sites using each technology.

The Gigas cloud service is 1.3 times more popular than Stackscale.
Total websites

Market share

Cloud Services

Popularity by country

Determined by the number of sites detected from each country.

Gigas is more popular in Spain, Chile, and Colombia, while Stackscale is more popular in Portugal, the Netherlands, and the United Kingdom.
Spain
Chile
Portugal
Netherlands
Colombia
Mexico
United Kingdom
France
Uruguay
Switzerland

Awards

Popularity by domain category

Determined by the number of sites in each category.

Gigas is more popular among sites focused on business, marketing and merchandising, and education and reference, while Stackscale is more commonly used on online shopping, travel, and finance and banking sites.
Business
Marketing/Merchandising
Online Shopping
Travel
Education/Reference
Internet Services
Real Estate
Finance/Banking
Public Information
Motor Vehicles

Top sites

Top-ranked sites that use these technologies.

Name
Rank
#63,066
#97,522
#106,059
View more ➝
Name
Rank
#33,053
#65,592
View more ➝

See also

🗃️ About This Data