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.
Google Cloud Services in Focus
Specialized in data, analytics, and Kubernetes.
BigQuery & Analytics
The world's most powerful serverless data warehouse.
- Petabyte-scale in seconds
- BigQuery ML for SQL-based ML
- Looker for BI & Dashboards
- Dataflow for Streaming
GKE & Kubernetes
Managed Kubernetes from the inventors - unmatched.
- GKE Autopilot (fully managed)
- Anthos for Multi-Cloud
- Cloud Run for Serverless
- Artifact Registry
Vertex AI & Generative AI
The leading platform for AI development.
- Vertex AI for Custom Models
- Gemini & PaLM Models
- Vision AI & Document AI
- Natural Language API
Data Engineering
Modern data pipelines for real-time analytics.
- Dataflow (Apache Beam)
- Pub/Sub for Event Streaming
- Dataproc for Spark/Hadoop
- Cloud Composer (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
Kubernetes applications on GKE Autopilot.
Why Google Cloud?
Google Cloud is the best choice for data-driven companies, Kubernetes workloads, and AI projects.


Certified Expertise
Our architects hold official certifications and years of practical experience.
Frequently Asked Questions
When is Google Cloud better than AWS?
For Big Data/Analytics (BigQuery), Kubernetes workloads, and ML/AI projects. Especially for Generative AI, Google leads with Gemini and Vertex AI - the integration is more seamless than AWS Bedrock. GCP is often ahead in cost efficiency as well.
Is Google Cloud GDPR compliant?
Yes, Google Cloud offers 9 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 uses pay-per-query - you only pay for processed data. Often cheaper than traditional data warehouses.
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