Solution · Modernization

Migrate to cloud without a long cutover

Move large operational datasets with parallel snapshots, then keep source and cloud targets aligned with CDC until your applications are ready to switch.

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MIGRATION TIMELINE SNAPSHOT · 4 PARALLEL PARTITIONS CUTOVER p1 p2 p3 p4 cdc changes applied during the load On-premises source stays in production Cloud target loaded and current in sync rehearse → validate → switch, on your schedule
  1. 01 Parallelize the initial snapshot
  2. 02 Apply changes continuously
  3. 03 Validate, switch, and retain control

The challenge

The copy is only the beginning

A migration must move historical volume quickly while continuing to capture every live change made during validation and cutover.

01 / Volume

Initial loads overrun the window

Sequential table copies struggle with large estates and put an unpredictable deadline on migration rehearsals.

02 / Change

Production keeps moving

Rows continue to change while the baseline is copied, creating drift between source and destination.

03 / Cutover

Big-bang switches increase risk

Without a synchronized target, validation, rollback planning, and application cutover become tightly coupled.

How it works

Load once, synchronize until cutover

Gluesync combines snapshot acceleration and continuous CDC so teams can rehearse, validate, and switch on their schedule.

  1. 01

    Baseline

    Parallelize the initial snapshot

    Split large tables into logical ranges and tune target concurrency to accelerate the first complete copy.

  2. 02

    Catch up

    Apply changes continuously

    Capture transactions made during the snapshot and keep the cloud target current throughout testing.

  3. 03

    Cut over

    Validate, switch, and retain control

    Monitor entity progress, coordinate the final handoff, and keep migration logic inside reusable pipelines.

Gluesync capabilities

Migration mechanics without custom glue code

Tune movement at the table, pipeline, and destination level while keeping deployment under your control.

01

Accelerated snapshots

Parallelize large source reads and match target write concurrency to the capacity of each environment.

  • Logical partitioning
  • Per-entity concurrency
  • Snapshot history and controls

Logical partitioning

02

Native bulk ingestion

Stage batches in the format and loading mechanism best suited to the target platform.

  • Snowflake COPY INTO
  • BigQuery load jobs
  • SQL Server bulk copy

Bulk load

03

Hybrid deployment

Place agents close to source and target systems while Core Hub coordinates pipelines across network boundaries.

  • On-premises and cloud agents
  • Encrypted node communication
  • Portable pipeline configuration

Architecture

Make migration a controlled synchronization process

Talk with MOLO17 about sizing snapshots, CDC, and cloud-target ingestion for your migration plan.

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