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Overview
Change data capture (CDC) is an approach to data integration based on the identification, capture, and delivery of the changes made to the source database and stored in the database redo log (also called transaction log).
Etlworks supports native log-based change data capture from PostgreSQL, SQL Server, MySQL, Oracle, DB2, AS400, and MongoDB.
The data captured by CDC flow can be loaded into any relation database, data warehouse, message queues such as Kafka, server and cloud storage, and data lake.
Read about other change replication techniques available in Etlworks.
Tutorials
- How to create a CDC Flows in Etlworks.
- Change Data Capture (CDC) data into Snowflake.
- Change Data Capture (CDC) data into Amazon Redshift.
- Change Data Capture (CDC) data into BigQuery.
- Change Data Capture (CDC) data into Synapse Analytics.
- Change Data Capture (CDC) data into Vertica.
- Change Data Capture (CDC) data into Greenplum.
- Change Data Capture (CDC) data into any relational databases.
- Change Data Capture (CDC) data into any relational databases using bulk load.
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