Migration & CDC
Learning Center

A comprehensive guide to Change Data Capture — how it works, why it matters for database migrations, and how NoSQLSync uses CDC for zero-downtime MongoDB, DynamoDB, and Firestore replication.

Understand data pipelines — what they are, how they work, and how NoSQLSync's CDC pipeline keeps MongoDB, DynamoDB, and Firestore in sync with SQL databases.

Understand MongoDB's oplog — how it works, how to tail it, and how NoSQLSync uses it for real-time CDC replication to SQL databases.

How MongoDB Change Streams work, how they differ from tailing the oplog, and how NoSQLSync uses them for CDC replication.

A detailed comparison of MongoDB and PostgreSQL — data models, query languages, performance, scaling, and when to use each database.

Compare Change Data Capture and batch ETL for database migration. Understand the tradeoffs in latency, complexity, and data consistency.

A clear comparison of NoSQL and SQL databases — data models, use cases, scaling, and why teams migrate from NoSQL to SQL as they grow.

A practical guide to migrating databases without downtime — the dual-write pattern, CDC, validation strategies, and cutover procedures.

How to convert MongoDB ObjectIds to UUIDs when migrating to SQL databases. Covers conversion strategies, handling references, and preserving sortability.

Learn what schema mapping is and how it works when migrating from MongoDB, DynamoDB, or Firestore to SQL databases.