Migrate SQLite to SQLite
Certified — live-tested pathSame-engine SQLite migrations are how you move between hosts, clouds, or versions — and they still fail in the boring ways: half-copied tables, stale sequences, missing indexes. DBShifts moves the schema and every row, defers constraints for speed, reseeds counters, and proves the result with row counts and checksums.
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How the migration works
Connect
Point DBShifts at your source and target. Credentials stay encrypted; SSH tunnels supported for private databases.
Analyze
Automatic schema introspection produces a migration plan: what converts automatically, what migrates with warnings, what needs human review.
Migrate
Schema is created on the target, data transfers in parallel batches with constraints deferred, indexes rebuilt after load.
Validate
Per-table row counts, type-aware checksums on both sides, FK integrity — plus a fidelity report listing anything lossy.
What DBShifts handles for SQLite → SQLite
Engine-specific rules baked into the conversion and transfer pipeline — verified by live certification of this exact pair.
- INTEGER columns are 64-bit — DBShifts maps them to BIGINT so large IDs don't overflow 32-bit INT targets.
- Typeless and mixed-affinity columns (SQLite's dynamic typing) are inferred, stringified safely, and flagged.
- NUMERIC affinity values are read exactly, not through float round-trips.
Frequently asked questions
Is SQLite to SQLite migration production-ready in DBShifts?
Yes — SQLite to SQLite is a certified pair. It passed DBShifts's live certification suite (schema conversion, data transfer, row counts, type-aware checksums over an edge-case fixture) and is battle-tested in production use.
How does DBShifts verify the SQLite to SQLite migration was correct?
Three layers: per-table row counts on both sides, an order-independent type-aware checksum of row data (canonicalized so engine representation differences don't false-alarm), and FK integrity checks on the target. Rows that fail to insert are quarantined with the exact error — never silently dropped — and can be fixed and retried from the UI.
What happens to SQLite types that SQLite doesn't have?
They convert by deterministic rules with a recorded decision: a native equivalent where one exists, a portable fallback (TEXT/JSON/DECIMAL) where one doesn't. Every lossy conversion appears in the migration plan before you run and in the fidelity report after. You can override any mapping per column.
Can I keep SQLite and SQLite in sync after the initial migration?
SQLite has no replication log, so continuous CDC isn't available from it — but incremental sync re-runs transfer only changed rows using a per-table sync key.
Do I need to write any SQL or scripts for SQLite to SQLite?
No. Connect both databases, review the generated migration plan (what's automatic, what migrates with warnings, what needs manual review — typically triggers and stored procedures), and run. Procedural code is transpiled best-effort and queued for human review rather than auto-applied.
What changes in a same-engine SQLite migration?
Structurally nothing changes — types map one-to-one. The risks are operational: half-copied tables, sequences left pointing at 1, and indexes that never got rebuilt. DBShifts reseeds counters to MAX(id)+1, defers then rebuilds constraints and indexes, and proves the copy with row counts and checksums.
Go deeper
Related migration paths
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