Move the estate once. Finish inside the migration window.
Use parallel Burst Load to divide large tables, keep many objects moving, recover unfinished slices, and apply project-wide mappings across heterogeneous database pairs.


Start with the shared Omni Loader database catalog and exact source-target capabilities.
Slice oversized tables instead of assigning one serial worker.
Preserve completed work through routine interruptions.
Inventory and prove the pair
Start with engines, editions, types, and access.
Confirm that the source can be read, the target can accept the required load path, and critical types map correctly. Benchmark representative large, narrow, wide, and LOB-heavy tables before committing to a full schedule.
Parallel execution
Break the critical path into independent work.
Run tables concurrently, slice the largest tables, place agents near source and target, and watch which resource becomes saturated. Adjust worker count and bandwidth against evidence from the complete path.
Recovery and cutover
Keep completed work and choose the final handoff.
Retry unfinished slices without replaying the estate. For live systems, pair the seed with CDC so the target catches up while the application continues writing.
Keep exploring
See the connected parts of the platform.
Turn the migration window into a measured plan.
Bring the inventory, largest tables, network constraints, and target. We will build the benchmark, worker, recovery, and cutover plan around the real path.