Build Google Cloud as your enterprise data, analytics, AI, and automation platform, not just another hosting solution.
At RalanTech, we don’t treat Google Cloud as just a developer-friendly cloud; we architect it as a full enterprise data and AI platform. As part of our comprehensive Cloud Database Consulting Services, we assist businesses in building high-performance, secure, AI-enabled GCP architectures that are integrated with Snowflake, Oracle, AWS, Azure, and on-premises systems. We specialize in building GCP for real-time analytics, BigQuery-driven insights, Vertex AI-powered automation, hybrid multi-cloud architectures, FinOps cost control, and data-driven enterprise modernization
●Purpose-built for data-centric, analytics-heavy, and AI-driven enterprise workloads
●Directly integrates with Snowflake, BigQuery, SAP, Azure, and Oracle workloads
●Offers native data engineering, ML, scaling, and API capabilities across cloud platforms
●BigQuery, Looker, Vertex AI, and DataPlex are built natively for real-time data processing
●Anthos enables multi-cloud and hybrid application orchestration
●High security and zero-trust architecture baked into infrastructure, not patched later
●Hybrid-cloud strategy, analytics consolidation, modernization alignment
●AI & platform integration, API automation, app modernization
●Zero-trust, identity control, audit logging, encryption enforcement
●FinOps models, usage-based consumption, predictable cloud budgeting
| Phase | Advisory Focus | Outcome |
|---|---|---|
| Assessment | Data maturity, workloads, compliance risk, and platform mapping | Cloud readiness & ROI blueprint |
| Architecture Design | Build GCP for multi-cloud, analytics, AI, automation, and ERP integration | Governed, scalable cloud platform |
| Migration & Deployment | Migrate workloads, applications, VMware, SAP, and analytics to GCP | Low-disruption validated cloud shift |
| Optimization & AI Integration | Enable BigQuery, Vertex AI, FinOps, data marketplace, ML automation | Future-ready GCP data platform |
| Continuous Cloud Governance | Monitor, optimize, secure, scale, govern | Long-term efficiency & compliance control |
We design Google Cloud as an enterprise AI and data platform, not a standalone app hosting layer.
Lift-and-optimize Oracle, SAP, SQL Server, Snowflake, VMware, or on-prem workloads into GCP, validated, secure, and scalable.
We enable BigQuery, Looker, DataPlex, Dataproc, and Pub/Sub for real-time data engineering, analytics, forecasting, and dashboards.
Design AI workloads using Vertex AI, Snowpark, SageMaker, and ML models in production without external computing platforms.
Containerization, serverless, GKE, Cloud Run, and Apigee for app modernization, microservices, and scalable business applications.
Compliance-ready architecture for SOC2, HIPAA, SOX, GDPR, FINRA, PCI DSS, with IAM, encryption, audit logging, and zero-trust access.

We activate BigQuery and Looker for live dashboards, transactional forecasting, campaign intelligence, and real-time performance reporting.

Using Anthos, BigQuery Omni, and API management to integrate GCP with Oracle, AWS, Azure, and Snowflake in a single environment.

GCP IoT Core, Pub/Sub, and Time Series Insights for tracking telemetry, sensor data, operational flows, and manufacturing performance.

Vertex AI used to deploy ML automation for demand planning, risk management, pricing intelligence, and predictive maintenance.

We modernize Oracle, SAP HANA, SQL Server, Postgres, and MongoDB into GCP with built-in governance, encryption, and auditability.

We deploy Cloud Run, Apigee, and GKE for SaaS architecture, embedded analytics, client data portals, and API monetization.
We don’t deploy GCP as isolated workloads; we architect it as a unified platform for analytics, AI, automation, collaboration, and governance.
We design GCP to integrate with AWS, Azure, Snowflake, Oracle Cloud, and VMware, with full hybrid portability.
We architect Google Cloud to run analytics, AI, ERP systems, applications, databases, APIs, and edge workloads under one governance model.
Identity, encryption, compliance, audit, data masking, and VPC zoning are built into the architecture design.
Auto-scaling, reserved instance modeling, usage segmentation, planned before deployment, not after billing spikes.
AI models, multi-cloud data fusion, smart API processing, embedded analytics, ML activation, fully architected for tomorrow’s use cases.
We stay after migration, monitoring, optimizing, governing, and evolving Google Cloud environments as they become core enterprise platforms.
AI-ready cloud data platform for secure data sharing, monetization, automation, and analytics.
Hybrid cloud, application modernization, and security-driven cloud-native architecture.
Autonomous DB, ERP transformation, Exadata Cloud, and hybrid Oracle workloads.
Data governance, AI integration, Power Platform, SAP & ERP modernization across Azure.