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Google Cloud Platform

As a Google Cloud Partner, we develop data-driven cloud solutions with BigQuery, Vertex AI, and Kubernetes from the inventors of Kubernetes.

Kubernetes Inventors Leading in AI/ML BigQuery
#1 in Data Analytics
GKE Managed Kubernetes
Vertex AI Leading ML Platform
AI and ML Platform Vertex AI, Gemini, and the TensorFlow ecosystem under one roof
BigQuery Serverless data warehouse for petabyte-scale analytics
Kubernetes from the Inventors GKE Autopilot is a reference for managed Kubernetes
Cloud Run A fast path to serverless containers without operating clusters

Google Cloud Services in Focus

Specialized in data, analytics, and Kubernetes workloads.

BigQuery & Analytics

Serverless data warehouse for analytics at petabyte scale.

  • Petabyte-scale queries in seconds
  • BigQuery ML for SQL-based ML
  • Looker for BI and dashboards
  • Dataflow for streaming analytics

GKE & Kubernetes

Managed Kubernetes from the inventors of the technology.

  • GKE Autopilot (fully managed)
  • Anthos for multi-cloud
  • Cloud Run for serverless
  • Artifact Registry

Vertex AI & Generative AI

Platform for building production-grade AI applications.

  • Vertex AI for custom models
  • Gemini and PaLM models
  • Vision AI and Document AI
  • Natural Language API

Data Engineering

Modern data pipelines for real-time processing.

  • Dataflow on Apache Beam
  • Pub/Sub for event streaming
  • Dataproc for Spark and Hadoop
  • Cloud Composer on Apache Airflow

Typical Use Cases

Data Analytics & BI

Enterprise-wide analytics with BigQuery and Looker.

Machine Learning

From AutoML to custom models with Vertex AI.

Real-Time Processing

Event streaming and real-time data processing.

Cloud-Native Apps

Container applications on GKE Autopilot and Cloud Run.

Why Google Cloud?

Google Cloud is the obvious choice for data-driven companies, demanding Kubernetes workloads, and AI projects.

Strong in Analytics BigQuery delivers consistent query performance without manual tuning
Kubernetes Expertise As the origin of Kubernetes, GCP offers a very mature GKE experience
AI and ML Portfolio Vertex AI, Gemini, and TensorFlow tightly integrated
Developer-Friendly Cloud Run and GKE Autopilot noticeably reduce operational overhead
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Certified Expertise

Our architects hold official certifications and years of practical experience.

Professional Cloud DevOps Engineer
Professional Cloud Security Engineer
Professional Cloud Architect
Professional Cloud Developer

Frequently Asked Questions

When is Google Cloud the better choice over AWS?

For big data and analytics workloads (BigQuery), for demanding Kubernetes workloads, and for ML and AI projects. In the area of generative AI, Google is particularly well integrated with Gemini and Vertex AI. GCP is also often ahead on cost efficiency.

Is Google Cloud GDPR compliant?

Yes. Google Cloud operates nine EU regions: Frankfurt, Belgium, Netherlands, Finland, Warsaw, Zurich, Madrid, Milan, and Paris. For maximum digital sovereignty, we combine GCP with STACKIT.

How much does BigQuery cost?

BigQuery bills per amount of queried data. In practice this is often cheaper than running classic data warehouses. Capacity-based pricing models are also available for predictable cost.

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