Target apply and provisioning

Capture speed matters only when the destination can keep up.

SQL Flow selects target-specific apply strategies, creates compatible schemas where supported, and isolates unsafe records.

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Destination-native execution

Use the database as a database.

PostgreSQL, SQL Server, and Oracle can use staged convergent bulk apply. Other paths use grouped statements, upserts, batching, and connection reuse.

  • ✓Insert, update, delete, truncate, and key-change barriers
  • ✓Stable-key parallel apply
  • ✓Group commit and batch coalescing
  • ✓Target-specific type mapping

Provision deliberately

Create compatible targets without hiding DDL.

Schema check and create are explicit. SQL Flow provisions PostgreSQL, SQL Server, Azure SQL, MySQL, and Oracle targets.

  • ✓Source description and target comparison
  • ✓Key-safe type sizing
  • ✓Fail, skip, and dead-letter policy
  • ✓Binary split to isolate a bad record

The payoff

See what the capability changes.

Preflight

Choose safely

Analyze keys and target behavior first.

Parallel

Use stable keys

Hash keyed work while preserving barriers.

Convergent

Replay safely

Use staged operations and durable ledgers.

Take the next step

Size the pipeline at the destination boundary.

Bring representative keys, rows, indexes, and DML. We will select provisioning and apply profiles.

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