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MySQL to Postgres migration that moves MySQL to PostgreSQL without a rewrite

The MySQL to Postgres migration from Adapters copies MySQL tables into PostgreSQL, converts MySQL types to their Postgres equivalents, and keeps replicating changed rows on a schedule so you can run both databases in parallel and cut over when the row counts match. Field mapping takes about a minute and no code is required.

No credit card required.

Field mapping auto-plugged · tap a port to rewire

5 sample records ready

Last updated July 2026

What running MySQL to Postgres by hand costs you

  • A one-shot mysqldump gets stale the moment it finishes, so teams schedule downtime they cannot really afford.
  • MySQL and Postgres disagree on types: TINYINT(1) is a boolean in practice, DATETIME has no zone, unsigned integers overflow, and zero dates like 0000-00-00 have no Postgres equivalent at all.
  • MySQL is case-insensitive on table and column names by default and Postgres is not, so half the queries break after a naive copy.

The field mapping, out of the box

These cables are pre-wired when you pick the pair. Rewire any of them, or add your own, in the same visual data mapping tool you use for every adapter.

Input / MYSQL

orders.id
orders.id
customers.email
customers.email
customers.full_name
customers.full_name
orders.total_amount
orders.total_cents
orders.updated_at
orders.created_at
orders.status
orders.status

Transforms included

Incremental runs read a MySQL updated_at watermark so only changed rows move; TINYINT(1) lands as Postgres BOOLEAN, unsigned INT widens to BIGINT so large ids do not overflow, DECIMAL keeps its declared precision as NUMERIC, DATETIME and TIMESTAMP normalize to TIMESTAMPTZ in UTC, invalid zero dates map to NULL instead of failing the load, JSON columns land as JSONB, and writes upsert with ON CONFLICT on the primary key so re-running the migration updates rows in place.

How it goes live

Three steps, minutes end to end, covered by flat data integration pricing from $49 a month.

STEP 01

Pick the pair

Connect MySQL and Postgres with scoped credentials. About a minute each.

STEP 02

Confirm the mapping

The cables above are pre-wired. Adjust any field, preview the transform on sample records, done.

STEP 03

Schedule the sync

Hourly down to every minute, with retries, alerting, and a full log on every run.

Try it in the live demo Preloads MYSQL → POSTGRES with sample records

MySQL to Postgres sync: common questions

How does the MySQL to Postgres sync work?

The MySQL to Postgres migration from Adapters copies MySQL tables into PostgreSQL, converts MySQL types to their Postgres equivalents, and keeps replicating changed rows on a schedule so you can run both databases in parallel and cut over when the row counts match. Field mapping takes about a minute and no code is required.

Is there a prebuilt MySQL connector for Postgres?

Yes. This MySQL to Postgres 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.

How much does the MySQL Postgres integration cost?

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.

How often can Adapters sync MySQL to Postgres?

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.

Do I need to write code to connect MySQL and Postgres?

No. Fields are auto-mapped the moment you pick the pair, and you can rewire any mapping visually before the first sync. Incremental runs read a MySQL updated_at watermark so only changed rows move; TINYINT(1) lands as Postgres BOOLEAN, unsigned INT widens to BIGINT so large ids do not overflow, DECIMAL keeps its declared precision as NUMERIC, DATETIME and TIMESTAMP normalize to TIMESTAMPTZ in UTC, invalid zero dates map to NULL instead of failing the load, JSON columns land as JSONB, and writes upsert with ON CONFLICT on the primary key so re-running the migration updates rows in place.

More pairs from the API connector library

stripe quickbooks integration shopify netsuite integration salesforce hubspot integration airtable google sheets sync postgres to snowflake sync shopify quickbooks integration salesforce netsuite integration paypal quickbooks integration square quickbooks integration stripe netsuite integration hubspot quickbooks integration quickbooks to xero migration shopify xero integration salesforce to snowflake integration square netsuite integration hubspot xero integration salesforce to bigquery integration postgres to bigquery netsuite to snowflake integration quickbooks to bigquery integration stripe to snowflake integration shopify to snowflake integration quickbooks to snowflake integration hubspot to snowflake integration netsuite to bigquery integration stripe to bigquery integration shopify to bigquery integration paypal to snowflake integration square to snowflake integration square to bigquery integration netsuite to postgres integration salesforce to postgres integration xero to snowflake integration hubspot to bigquery integration xero to bigquery integration paypal to bigquery integration stripe to postgres integration snowflake to bigquery migration shopify to postgres integration hubspot to postgres integration bigquery to snowflake migration quickbooks to postgres integration xero to postgres integration square to postgres integration paypal to postgres integration snowflake to postgres

Browse the full api connector library, or request a pair you do not see.

MySQL and Postgres, finally in agreement

Map the pair once and let it sync on schedule. Flat price from $49 a month, no per-task fees.

Try the live demo

No credit card required.