Migrating from MySQL to ParadeDB converts your schema and data to PostgreSQL-compatible formats and loads them into ParadeDB so you can leverage vector search and AI functions.
ParadeDB extends PostgreSQL with vector search and AI-ready functions. Moving from MySQL lets you run transactional and similarity queries in one place while reducing infrastructure overhead.
pgloader translates MySQL DDL, casts data types, and bulk loads rows into ParadeDB. mysqldump + psql works for small datasets but requires manual edits.
Schedule downtime or enable read-only mode, then export schema and data:
mysqldump --no-data --routines --events ecommerce > schema.sql
mysqldump --no-create-info ecommerce > data.sql
Create a load file mapping the MySQL DSN to the ParadeDB DSN. pgloader will drop existing objects, create tables, and stream data directly.
LOAD DATABASE
FROM mysql://root:pass@localhost/ecommerce
INTO postgres://app:pass@paradedb:5432/ecommerce
WITH include drop, create tables, create indexes,
reset sequences, workers = 8, batch rows = 5000
CAST type datetime to timestamptz,
type tinyint when (= precision 1) to boolean
BEFORE LOAD DO
$$ create extension if not exists "paradedb"; $$;
Connect with psql and install the extension:
CREATE EXTENSION IF NOT EXISTS paradedb;
ALTER TABLE Products
ADD COLUMN embedding vector(1536);
Compare row counts and spot-check data:
SELECT 'Orders' AS table, COUNT(*) FROM Orders
UNION ALL
SELECT 'Customers', COUNT(*) FROM Customers;
Use mysqlbinlog or Debezium to stream binlogs into Kafka, then apply changes with postgres-connect until lag is near zero before cutover.
Test in staging, enforce foreign keys, monitor replication lag, and switch application traffic only after validation passes.
No. ParadeDB is a PostgreSQL extension. Install it on your existing Postgres 15+ instance or use the ParadeDB Docker image.
Yes. pgloader converts MySQL AUTO_INCREMENT columns to PostgreSQL SERIAL or IDENTITY, keeping primary-key behavior intact.
pgloader uses transactions per table. If a table load fails, no partial rows remain. Always test restores from your MySQL backup before retrying.