Last Cluster
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Seamless Data Migration. Zero Business Disruption.

This service involves securely and efficiently transferring data from existing storage systems or databases to modern cloud-based environments. It includes:

• Structured database migrations (SQL, NoSQL, data warehouses)

• Data format transformation

• Data validation and consistency checks

• Downtime-minimized cutovers

Our Migration Process

  • Assessment & Planning

    Evaluate current schema, dependencies, data volumes. Analyze latency, compliance, and security needs.

  • Architecture & Target Selection

    Choose between managed DB services or self-hosted DBs Choose between managed DB services or self-hosted DBs. Design secure, scalable target architecture.

  • Schema & Compatibility Mapping

    Map existing schema, tables, triggers, stored procedures. Use schema conversion tools where required.

  • Data Migration Execution

    Migrate in phases or via full cutover. Support online replication and zero-downtime options.

  • Validation & Optimization

    Verify data integrity and performance. Apply indexing, partitioning, tuning, and HA configuration.

Tools & Technologies We Use

  • AWS DMS (Database Migration Service)
  • Azure Database Migration Service
  • Google Cloud Database Migration Service
  • Oracle GoldenGate
  • Striim, Talend, Fivetran, and native SQL scripting

Industry Use Cases

Enterprise-Grade Security

Encryption in transit & at rest, IAM integration

Automation-Driven Migration

transit & at rest, IAM integration

Why Choose Last Cluster?

  • Online replication and parallel validation: your production database remains live throughout the entire migration window — because downtime is not a migration methodology
    Online replication and parallel validation: your production database remains live throughout the entire migration window — because downtime is not a migration methodology
  • Schema conversion, data type mapping, and stored procedure translation performed by certified data engineers — never delegated to automated tooling alone
    Schema conversion, data type mapping, and stored procedure translation performed by certified data engineers — never delegated to automated tooling alone
  • Post-migration validation includes query benchmarking, replication health verification, data integrity checks, and indexing optimisation — because migration ends when performance is proven
    Post-migration validation includes query benchmarking, replication health verification, data integrity checks, and indexing optimisation — because migration ends when performance is proven
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