AWS | Azure | Google Cloud

Cloud & Hybrid Database Services

Migrations, architecture and managed operations for cloud and hybrid data platforms - built for availability, security and predictable cost.

Cloud without the surprises

Moving databases to the cloud can reduce hardware and maintenance overhead, improve resilience and unlock managed analytics and AI services. It can also introduce unexpected cost, latency and security gaps if it is not planned carefully.

AVRIN helps you choose the right target for each workload - a fully managed database service, a managed instance, or SQL Server on virtual machines - based on compatibility, performance, licensing and operational needs. We then migrate with minimal downtime and operate the platform with the same discipline we apply on-premises.

Many organizations stay hybrid for years. We design secure connectivity, identity integration, replication and backup across data centers and cloud regions so both sides work as one platform.

Hybrid cloud architecture connecting on-premises databases with cloud platforms

Platforms and typical use cases

We are cloud-neutral and recommend the platform that fits your applications, skills and existing agreements.

Amazon Web Services

  • Amazon RDS for SQL Server, PostgreSQL and MySQL
  • Amazon Aurora PostgreSQL and MySQL for high-throughput applications
  • SQL Server on EC2 when full instance control is required
  • AWS DMS and Schema Conversion for heterogeneous migrations
  • Amazon S3 data lakes, Redshift and Bedrock for analytics and GenAI
  • Lambda for event-driven data processing; CloudWatch for monitoring
  • VPC and IAM design for private, least-privilege database access

Microsoft Azure

  • Azure SQL Database for modern, fully managed applications
  • Azure SQL Managed Instance for near 100% SQL Server compatibility
  • SQL Server on Azure VMs, with Azure Hybrid Benefit licensing
  • Azure Arc-enabled SQL Server for hybrid management
  • Azure Storage and Data Lake Storage for backups and analytics data
  • Azure Data Factory, Synapse Analytics and Microsoft Fabric
  • Azure OpenAI and Azure AI Search for GenAI; Azure Monitor for observability

Google Cloud

  • Cloud SQL for SQL Server, PostgreSQL and MySQL
  • AlloyDB for PostgreSQL for demanding transactional and analytical workloads
  • Database Migration Service for minimal-downtime moves
  • Compute Engine for SQL Server and custom database workloads
  • Cloud Storage for backups, archives and data lakes
  • BigQuery for serverless analytics
  • Vertex AI for machine learning and GenAI applications

Common business use cases

Cloud projects work best when they start from a business outcome rather than a product list.

Typical cloud database scenarios and approaches
Business needTypical approach
Affordable disaster recovery for on-premises SQL ServerAsynchronous replica or log shipping to a cloud VM or Azure SQL Managed Instance, backups to S3, Azure Storage or Cloud Storage
Exit a data center or end a hardware refresh cycleWave-based migration to managed services (RDS, Azure SQL, Cloud SQL) or cloud VMs, with right-sizing from real metrics
Scale for seasonal or unpredictable demandAurora Serverless v2, Azure SQL serverless or read replicas, with caching and connection pooling
Analytics without slowing productionCDC into a data lake or warehouse (S3/Redshift, Fabric/Synapse, BigQuery) feeding Power BI
Add GenAI to business applicationsRAG with Amazon Bedrock, Azure OpenAI or Vertex AI over governed data in your databases
Faster development and testingOn-demand dev/test databases with masked production data and automated teardown

Our cloud database services

Readiness assessment & planning

Inventory, dependency mapping, compatibility checks, sizing from real performance data, target selection, TCO comparison and a migration plan with waves and rollback points.

Lift-and-shift and replatforming

Rehosting to cloud VMs for speed, or replatforming to managed services for lower operational effort, using native replication, log shipping, AWS DMS or Azure Database Migration Service.

Database migration

Hybrid architectures & connectivity

Site-to-site VPN or private connectivity (ExpressRoute, Direct Connect, Cloud Interconnect), identity integration, cross-environment replication and DR in the cloud for on-premises systems.

Managed operations & cost optimization

Monitoring, patching, backups and tuning for cloud databases, plus right-sizing, reserved capacity or savings plans, storage tiering and license optimization to keep spending predictable.

Security and governance by design

Cloud platforms share responsibility for security. We configure the parts that remain yours: private endpoints instead of public access, encryption with customer-managed keys where required, centralized identity, auditing, backup retention and policy-based governance.

We also tag and monitor resources so every database has a clear owner, environment and cost center.

What you get

  • Architecture diagrams and decision records
  • Infrastructure configured consistently across environments
  • Tested backup, restore and failover procedures
  • Cost and performance dashboards
  • Runbooks and knowledge transfer for your team

Plan your cloud database strategy

Discuss your workloads, compliance requirements and timeline with AVRIN. We will recommend a practical path to AWS, Azure, Google Cloud or a hybrid model.