Redshift to Snowflake migration that moves Redshift tables into Snowflake in parallel

The Redshift to Snowflake migration from Adapters copies Redshift tables into Snowflake on an incremental schedule, mapping Redshift types to Snowflake types and merging on the key, so both warehouses run in parallel and you cut over once the row counts and totals agree. Field mapping takes about a minute and no code is required.

Yes. This Redshift to Snowflake connector ships prebuilt: the field mapping is wired the moment you pick the pair, transforms are included, and the first sync can run within minutes. No code or engineering sprint required.

Pricing is flat and monthly: Starter at $49, Growth at $149, Scale at $399. Every plan includes this pair, visual field mapping, and per-record logs. There are no per-task or per-row fees, so the bill stays the same as volume grows.

Hourly on Starter, every 5 minutes on Growth, and down to every minute on Scale. Failed records retry automatically with backoff, and alerting plus a full per-record log come standard on every run.

No. Fields are auto-mapped the moment you pick the pair, and you can rewire any mapping visually before the first sync. Incremental runs use a Redshift watermark column so only changed rows move; DECIMAL keeps its precision as Snowflake NUMBER, VARCHAR byte-length limits widen to Snowflake VARCHAR without truncation, SUPER columns land as VARIANT, TIMESTAMP and TIMESTAMPTZ normalize to TIMESTAMP_TZ in UTC, lowercase Redshift identifiers fold to Snowflake uppercase consistently so quoted references keep working, distribution and sort keys are dropped in favor of Snowflake clustering where it earns its cost, and loads MERGE on the primary key so a replayed batch updates in place.