11 target databases supported

Migrate MongoDB
to SQL

MongoDB stores BSON documents with no fixed schema, which is exactly what makes a move to SQL awkward: ObjectIds, ISODates, embedded documents, and arrays all need a relational home. NoSQLSync samples your collections, infers the union schema, and tails the oplog so the target keeps up with production while you migrate.

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Choose your target database

Every path below includes bulk load, live CDC, and automatic type mapping for MongoDB.

MongoDBPostgreSQL
Live CDC · Auto schema mapping · Zero downtime
MongoDBMySQL
Live CDC · Auto schema mapping · Zero downtime
MongoDBBigQuery
Live CDC · Auto schema mapping · Zero downtime
MongoDBSnowflake
Live CDC · Auto schema mapping · Zero downtime
MongoDBRedshift
Live CDC · Auto schema mapping · Zero downtime
MongoDBClickHouse
Live CDC · Auto schema mapping · Zero downtime
MongoDBSQL Server
Live CDC · Auto schema mapping · Zero downtime
MongoDBMariaDB
Live CDC · Auto schema mapping · Zero downtime
MongoDBSupabase
Live CDC · Auto schema mapping · Zero downtime
MongoDBNeon
Live CDC · Auto schema mapping · Zero downtime
MongoDBPlanetScale
Live CDC · Auto schema mapping · Zero downtime

What you get with every MongoDB migration

ObjectId → VARCHAR(24)

BSON Schema Detection

Automatically detect field types across all collections — ObjectId, ISODate, NumberInt, nested objects, and arrays — and map them to SQL equivalents.

< 50ms latency

MongoDB Oplog CDC

Tail the MongoDB oplog in real time. Every insert, update, and delete flows to the SQL target with sub-second latency. Zero data loss guaranteed.

Auto type mapping

Type Coercion Engine

Flexible MongoDB types don't break your schema. ISODate → TIMESTAMPTZ, NumberInt → INTEGER, Double → DOUBLE PRECISION. Custom overrides available.

Live CDC sync

Zero Downtime Cutover

Oplog CDC keeps the SQL target current while MongoDB stays authoritative. Cut over when you're ready — NoSQLSync never writes to your source.

Bulk + streaming

Incremental Sync

Migrate historical data in bulk, then keep new writes in sync via CDC. No need to pause your application. Works with collections of any size.

Pre-flight checks

Schema Validation

Before migrating, validate that every document conforms to the inferred schema. Catch type mismatches early. Drill down to individual offending documents.

MongoDB migration FAQ

What happens to embedded documents and arrays?

Embedded documents become JSONB columns by default, with full PostgreSQL indexing support. You can optionally flatten specific fields into their own columns using the visual schema mapper.

How are MongoDB ObjectIds handled?

An ObjectId is stored as its 24-character hex string — VARCHAR(24) on PostgreSQL, MySQL, Snowflake, Redshift and MariaDB, NVARCHAR(24) on SQL Server, STRING on BigQuery and ClickHouse. The _id field becomes the table's primary key. Values are preserved exactly, so an ObjectId reference stored in another collection still matches after migration.

Can I migrate only specific collections?

Yes. Choose which MongoDB collections to migrate. Each collection becomes a separate SQL table. Filter documents with queries to migrate only a subset.

How long does a migration take?

A typical 100 GB dataset migrates in under 2 hours with bulk mode. With CDC enabled, ongoing writes sync in real time. Total time depends on data volume and network throughput.

Is my data secure during migration?

Yes. All data is encrypted in transit (TLS 1.3) and at rest (AES-256). Database credentials use short-lived tokens. Migration workers run in an isolated environment and never store data after the job completes.

Can I roll back if something goes wrong?

Yes. NoSQLSync only reads from your source — it is never modified, and CDC keeps running until you stop it. If you hit a problem after cutover, point your application's connection string back at the source.

Ready to migrate MongoDB?

Free plan includes 5 migrations per month. No credit card required.

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