Google Cloud Platform in enterprise workloads
Google Cloud Platform (GCP) is the third major hyperscaler alongside AWS and Azure, with particular strength in data, AI, and analytics workloads. For Microsoft-skeptical or AWS-skeptical enterprises, and for organizations where Gemini, Vertex AI, or BigQuery matter, GCP is typically the primary cloud choice.
How Thoughtwave delivers on GCP
Our engagements span the platform:
- Compute: Cloud Run, GKE, Compute Engine, Cloud Functions depending on workload pattern.
- Storage: Cloud Storage, Cloud SQL, Spanner, Bigtable, Firestore.
- Data platforms: BigQuery as the analytics anchor, Dataflow for ETL, Dataproc for Spark, Dataplex for governance.
- AI: Vertex AI for Gemini and other model access, Vertex AI Agent Builder for agentic workflows, AutoML for managed ML.
- Security: Cloud IAM, Security Command Center, Chronicle for SIEM.
- Observability: Cloud Operations Suite (formerly Stackdriver).
Authentication and governance
GCP integration runs through Google Cloud IAM with Organization Policy constraints and VPC Service Controls for data-perimeter enforcement. Enterprise deployments align to the client's broader security and compliance framework.
When GCP wins the primary-cloud decision
For enterprises prioritizing Gemini AI capabilities, for BigQuery-centric data workloads, and for organizations preferring Google's research-driven culture and open-source posture, GCP is typically the right primary cloud. For Microsoft-centric enterprises, Azure usually wins; for AWS-committed organizations, the switching cost rarely justifies migration. Our engagements match cloud to workload empirically.