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DigitalOcean
Alojamiento · 4.3M visitas mensuales

DigitalOcean es una plataforma de infraestructura en la nube centrada en el desarrollador que simplifica la creación, implementación y escalado de aplicaciones. Ofrece un conjunto completo de productos, incluidas máquinas virtuales (Droplets), Kubernetes administrado y la plataforma GradientAI, que proporciona potentes recursos de GPU y herramientas para crear y alojar aplicaciones de IA que cambian el mundo, desde proyectos personales hasta grandes empresas.

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Google Cloud
Aprendizaje Automático · 48.8M visitas mensuales

Google Cloud es un conjunto completo de servicios de computación en la nube que proporciona infraestructura, plataforma y entornos sin servidor. Destaca en IA/ML con Vertex AI y Gemini, análisis de datos con BigQuery, y ofrece una infraestructura escalable y segura para empresas de todos los tamaños, desde startups hasta corporaciones globales.

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DigitalOcean vs Google Cloud: precios, funciones y tráfico

Compara DigitalOcean y Google Cloud por posicionamiento, precio, capacidades, tráfico y opiniones.

Actualizado 5 ago 2026

Resumen del producto

DigitalOcean Resumen del producto

DigitalOcean es una plataforma de infraestructura en la nube centrada en el desarrollador que simplifica la creación, implementación y escalado de aplicaciones. Ofrece un conjunto completo de productos, incluidas máquinas virtuales (Droplets), Kubernetes administrado y la plataforma GradientAI, que proporciona potentes recursos de GPU y herramientas para crear y alojar aplicaciones de IA que cambian el mundo, desde proyectos personales hasta grandes empresas.

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Google Cloud Resumen del producto

Google Cloud es un conjunto completo de servicios de computación en la nube que proporciona infraestructura, plataforma y entornos sin servidor. Destaca en IA/ML con Vertex AI y Gemini, análisis de datos con BigQuery, y ofrece una infraestructura escalable y segura para empresas de todos los tamaños, desde startups hasta corporaciones globales.

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Detailed feature comparison

FeatureDigitalOceanGoogle Cloud
Categoría principalAlojamientoAprendizaje Automático
Añadido2025-08-142025-08-12
PrecioFreemiumFreemium
Sitio oficialwww.digitalocean.comcloud.google.com
Tipo de productoSitio webSitio web
Performance data
ValoraciónSin verificarSin verificar
Comentarios00
Visitas mensuales4.3M48.8M
Crecimiento mensual-8.7%-2.2%
Favoritos100102
DetailsVer detallesVer detalles

DigitalOcean vs Google Cloud monthly traffic

Compare DigitalOcean and Google Cloud by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.

How to interpret the traffic data

In the DigitalOcean vs Google Cloud monthly traffic comparison, DigitalOcean currently shows 4.3M visits and Google Cloud shows 48.8M; Google Cloud has about 11.4 times the visible traffic of DigitalOcean, an absolute difference of about 44.5M visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

DigitalOcean monthly traffic:

Latest traffic

Visitas mensuales
4.3M
Duración media
5:42
Páginas por visita
7.73
Tasa de rebote
34.86%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 3.9M Visitas mensuales
  • 2026/1: 4.3M Visitas mensuales
  • 2026/2: 4.4M Visitas mensuales
  • 2026/3: 5M Visitas mensuales
  • 2026/4: 4.7M Visitas mensuales
  • 2026/5: 4.3M Visitas mensuales

Regiones principales

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇸United States49.22%2.1M
🇮🇳India29.42%1.3M
🇬🇧United Kingdom8.39%359.8K
🇨🇦Canada6.87%294.6K
🇩🇪Germany6.1%261.6K

Fuentes de tráfico

Source typePercentageTraffic
Directo87.32%3.7M
Referido9.46%405.7K
Correo electrónico3.22%138.1K

Palabras clave

digital oceandigitaloceandigitalocean vpsperplexityperplexity ai

Google Cloud monthly traffic:

Latest traffic

Visitas mensuales
48.8M
Duración media
7:57
Páginas por visita
10.57
Tasa de rebote
35%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 43.6M Visitas mensuales
  • 2026/1: 47.8M Visitas mensuales
  • 2026/2: 47.2M Visitas mensuales
  • 2026/3: 52.9M Visitas mensuales
  • 2026/4: 49.9M Visitas mensuales
  • 2026/5: 48.8M Visitas mensuales

Regiones principales

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇸United States46.14%22.5M
🇮🇳India24.21%11.8M
🇧🇷Brazil12.52%6.1M
🇰🇷Korea, Republic of9.07%4.4M
🇻🇳Vietnam8.06%3.9M

Fuentes de tráfico

Source typePercentageTraffic
Directo69.73%34M
Referido26.24%12.8M
Correo electrónico4.03%2M

Palabras clave

geminigemini aigooglegoogle cloudgoogle cloud console
Traffic-based selection guidance: If public market visibility is an important first-pass criterion, investigate Google Cloud first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.

Usage comparison

Compare the core capabilities of DigitalOcean and Google Cloud

DigitalOcean Core features

Computación en la Nube
Alojamiento
Base de datos
Aprendizaje Automático

Google Cloud Core features

Computación en la Nube
Aprendizaje Automático
Análisis de Datos
DevOps

Use cases

DigitalOcean Use cases

computación en la nube
base de datos
IaaS
Kubernetes
aprendizaje automático
PaaS
Desarrollo de IA
Herramientas para desarrolladores
GPU
Alojamiento
infraestructura
VPS

Google Cloud Use cases

computación en la nube
base de datos
IaaS
Kubernetes
aprendizaje automático
PaaS
Modelos de IA
Big data
BigQuery
Almacenamiento en la nube
análisis de datos
Gemini
Serverless
Vertex AI
máquina virtual

DigitalOcean vs Google Cloud：In-depth comparison and selection guidance

First decide whether the products solve the same kind of need

This in-depth DigitalOcean vs Google Cloud comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. DigitalOcean is primarily listed under “Alojamiento”, while Google Cloud is primarily listed under “Aprendizaje Automático”, so the first decision is whether your actual task matches their recorded scope.

The structured fields currently show these decision-relevant differences: Primary category (DigitalOcean: Alojamiento; Google Cloud: Aprendizaje Automático); Monthly visits (DigitalOcean: 4.3M; Google Cloud: 48.8M); Monthly growth (DigitalOcean: -8.7%; Google Cloud: -2.2%); Favorites (DigitalOcean: 100; Google Cloud: 102); Website (DigitalOcean: www.digitalocean.com; Google Cloud: cloud.google.com). These facts are more useful for selection than brand visibility alone.

What market visibility and monthly traffic mean

In the DigitalOcean vs Google Cloud monthly traffic comparison, DigitalOcean currently shows 4.3M visits and Google Cloud shows 48.8M; Google Cloud has about 11.4 times the visible traffic of DigitalOcean, an absolute difference of about 44.5M visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

If public market visibility is an important first-pass criterion, investigate Google Cloud first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.

Product positioning, use cases, and roles

DigitalOcean and Google Cloud currently overlap in shared categories: Computación en la Nube; shared tags: computación en la nube, base de datos, IaaS, Kubernetes, aprendizaje automático y PaaS. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.

DigitalOcean's unique categories/tags are Alojamiento, Base de datos, Aprendizaje Automático, Desarrollo de IA, Herramientas para desarrolladores, GPU, infraestructura y VPS; Google Cloud's are Aprendizaje Automático, Análisis de Datos, DevOps, Modelos de IA, Big data, BigQuery, Almacenamiento en la nube y análisis de datos. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.

What ratings, comments, and favorites can tell you

DigitalOcean has no verified rating, 0 comments, 100 favorites, and 107 likes；Google Cloud has no verified rating, 0 comments, 102 favorites, and 116 likes。

Neither product has enough rating or comment samples for a credible reputation ranking.

Selection guidance by actual need

When to evaluate DigitalOcean first

Put DigitalOcean on the priority trial list when the task aligns with “Alojamiento” and especially Alojamiento, Base de datos, Aprendizaje Automático, Desarrollo de IA, Herramientas para desarrolladores y GPU. This follows recorded positioning and does not imply unlisted capabilities are absent.

DigitalOcean also currently records: pricing is freemium, product type is website, 4.3M verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

When to evaluate Google Cloud first

Put Google Cloud on the priority trial list when the task aligns with “Aprendizaje Automático” and especially Aprendizaje Automático, Análisis de Datos, DevOps, Modelos de IA, Big data y BigQuery. This follows recorded positioning and does not imply unlisted capabilities are absent.

Google Cloud also currently records: pricing is freemium, product type is website, 48.8M verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

How to validate the recommendation before deciding

The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in DigitalOcean and Google Cloud, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.

Preguntas frecuentes

How should I choose between DigitalOcean and Google Cloud?
Compare positioning, pricing, taxonomy, and traffic maturity, then verify the latest details on each official website.
Where does this comparison data come from?
The factual baseline is derived from product, taxonomy, traffic, and community data. Reviewed editorial conclusions show their source and verification date.
What do unknown fields mean?
Unknown means there is not enough reliable evidence; the page does not fill gaps with assumptions.