DBSync vs Debezium

DBSync automates data replication, consolidation, and capture of changes between systems. It supports real-time, two-way database synchronization through change data capture (CDC), and can replicate Salesforce, Dynamics 365, and Business Central data to databases, data lakes, and warehouses. Data Compare helps find mismatches between datasets for comparison and consolidation. Jobs can run on a schedule or in response to events; supported methods include CDC, ELT, ETL, and Reverse ETL. Deployment options include on-premise and cloud-hosted setups. Listed endpoints include SQL Server, SQLite, MySQL, PostgreSQL, Oracle, IBM Db2, MongoDB, Snowflake, AWS Redshift, AWS S3, Azure Synapse, Databricks, and MinIO. Documentation lists Batch API and J2EE Web Server modes, with EXE, Zip, Docker, and AWS Images deployments. A free Developer plan includes two connectors, up to 10,000 records, and up to three objects. A 14-day trial includes plan features and up to two standard connectors. Paid plans require an annual contract, and add-ons may cost extra.

Debezium captures row-level database changes and delivers them to applications as events, so they can respond to inserts, updates, and deletes. Its connectors use database logs for low-delay capture without requiring changes to the data model, and can take initial or incremental snapshots, filter schemas, tables, and columns, and mask selected values. Listed databases include MongoDB, MariaDB, MySQL, PostgreSQL, SQL Server, Oracle, Db2, and Cassandra. Connectors for Vitess, Spanner, Informix, CockroachDB, YashanDB, Ingres, and Milvus are marked incubating and may change without backward compatibility. A common deployment uses Apache Kafka Connect; Debezium can also run through Debezium Server or as a library in JVM applications. Debezium Server can send serialized events to Amazon Kinesis, Google Cloud Pub/Sub, and Apache Pulsar. Ready-to-use transformations support routing, filtering, and event flattening. Debezium is free under the Apache Software License 2.0. Its quay.io container images are for testing and evaluation, not production.