Change Data Capture (CDC) Tutorial: Get Started in Minutes

Change Data Capture (CDC) is a method used to identify and track changes in database data by capturing only the alterations (such as inserts, updates, and deletes) as they occur, rather than querying entire datasets periodically. This approach addresses the limitations of traditional batch ETL processes, such as high latency, database load, and missed changes, by capturing changes in real-time, minimizing database impact through transaction log reading, and ensuring data completeness. Streamkap implements CDC using Debezium connectors to read transaction logs from databases like PostgreSQL, MySQL, MongoDB, SQL Server, and Oracle, and streams these changes in real-time to destinations such as Snowflake, Databricks, ClickHouse, BigQuery, and Kafka. Users can get started by signing up for a Streamkap account, connecting their source database, and configuring their destination data warehouse to begin real-time data streaming.