Zero-downtime migration

Move the starting state. Then close the gap while production stays open.

SQL Flow pins the change position before the initial load, copies tables in parallel, and keeps committed changes in a durable stream until the target catches up.

The job to be done

Move committed data with a path your team can explain.

A capability matters when it removes an operational decision, not when it adds another checkbox. SQL Flow connects source-aware capture, durable progress, target apply, and validation so the page you are reading leads to a usable operating path.

The pipeline records where continuous capture begins, copies the selected tables, and applies every committed change that arrived during the copy. SQL Flow handles per-table progress, rate, and durable completion markers; parallel table slices with source-aware snapshot behavior; catch-up from the pinned source position; explicit reload and reseed when the plan changes.

Why this path matters

Initial load and CDC share the same migration boundary.

The pipeline records where continuous capture begins, copies the selected tables, and applies every committed change that arrived during the copy. SQL Flow handles per-table progress, rate, and durable completion markers; parallel table slices with source-aware snapshot behavior; catch-up from the pinned source position; explicit reload and reseed when the plan changes.

What changes for you

Separate capture and apply lag make the cutover decision observable. Let the target reach the durable frontier, validate it, then switch the application against a checkpoint you can name. SQL Flow handles visible source and destination positions; target preflight before the first load; independent cutover for multiple destinations; repeatable rehearsal before production.

The outcome

Bring the source, target, table sizes, and outage budget. We will map the load, CDC handoff, validation, and cutover sequence.

The payoff

See what the capability changes.

Handoff

Pin before copying

Establish the CDC handoff before the first table slice moves.

Parallel

Load in parallel

Use bounded workers and range slicing to seed large targets.

Durable

Catch up durably

Replay every concurrent change before moving the application.

Where the work happens

The details that make the result usable.

Read each capability as part of the operating path. The important question is not whether a feature exists, but what work it removes and what evidence it leaves behind.

One coordinated path

Initial load and CDC share the same migration boundary.

The pipeline records where continuous capture begins, copies the selected tables, and applies every committed change that arrived during the copy.

SQL Flow handles per-table progress, rate, and durable completion markers; parallel table slices with source-aware snapshot behavior; catch-up from the pinned source position; explicit reload and reseed when the plan changes.

  • Per-table progress, rate, and durable completion markers
  • Parallel table slices with source-aware snapshot behavior
  • Catch-up from the pinned source position
  • Explicit reload and reseed when the plan changes

Cut over with evidence

Know the remaining lag before you move traffic.

Separate capture and apply lag make the cutover decision observable. Let the target reach the durable frontier, validate it, then switch the application against a checkpoint you can name.

SQL Flow handles visible source and destination positions; target preflight before the first load; independent cutover for multiple destinations; repeatable rehearsal before production.

  • Visible source and destination positions
  • Target preflight before the first load
  • Independent cutover for multiple destinations
  • Repeatable rehearsal before production

Before you choose

Check the path against your environment.

Use the page-specific details below as a short discovery checklist. They are the conditions and work areas that shape the capability, not generic product promises.

  • Per-table progress, rate, and durable completion markers
  • Parallel table slices with source-aware snapshot behavior
  • Catch-up from the pinned source position
  • Explicit reload and reseed when the plan changes
  • Visible source and destination positions
  • Target preflight before the first load

The path to confidence

See the work. Make the call. Prove the result.

The page keeps the product detail close to the decision it supports. Your team can see what the software handles automatically, what it changes for the target, and what the result leaves ready to operate.

  1. Initial load and CDC share the same migration boundary.

    The pipeline records where continuous capture begins, copies the selected tables, and applies every committed change that arrived during the copy. SQL Flow handles per-table progress, rate, and durable completion markers; parallel table slices with source-aware snapshot behavior; catch-up from the pinned source position; explicit reload and reseed when the plan changes.

  2. Know the remaining lag before you move traffic.

    Separate capture and apply lag make the cutover decision observable. Let the target reach the durable frontier, validate it, then switch the application against a checkpoint you can name. SQL Flow handles visible source and destination positions; target preflight before the first load; independent cutover for multiple destinations; repeatable rehearsal before production.

Keep the plan connected

Take the next useful step.

A capability becomes easier to operate when the next decision follows from the constraint you just uncovered. Explore the related work that completes this part of the path.

Your working set

What this page leaves you with

  • Pin before copying
  • Load in parallel
  • Initial load and CDC share the same migration boundary.
  • Know the remaining lag before you move traffic.
  • Turn cutover into a measured handoff.

Take the next step

Turn cutover into a measured handoff.

Bring the source, target, table sizes, and outage budget. We will map the load, CDC handoff, validation, and cutover sequence.

Talk through my use case