Capture row-level changes from MySQL tables, including schema modifications. Options include initial sync, deduplication of batch results, and flexible micro-batch scheduling. Customize snapshot queries for tailored data extraction.
The MySQL CDC Extractor reads the binary log to capture real-time changes, including `INSERT`, `UPDATE`, and `DELETE` operations. It supports initial table syncs, automatic schema change handling, and customizable micro-batch scheduling, offering a cost-effective solution for log-based replication even for smaller use cases.
MySQL is a robust open-source database known for its high performance and scalability, ideal for web-based and embedded applications. With Keboola, MySQL's capabilities are enhanced, allowing seamless integration of data from multiple sources into a unified environment, enabling users to focus on building impactful data products.
For e-commerce businesses, the MySQL CDC Extractor enables real-time inventory tracking by capturing every stock change. This ensures accurate inventory levels across platforms, reducing overselling risks and improving customer satisfaction.
Combine MySQL CDC with Google Sheets to enrich sales data with real-time updates. Push the enriched data to visualization tools for dynamic dashboards, providing sales teams with actionable insights to drive strategy.
Integrate MySQL CDC with a database writer to automate financial reporting. Sync real-time transaction data to external databases, enabling finance teams to generate up-to-date reports and make informed decisions quickly.
MySQL CDC Extractor simplifies real-time data integration, enhancing business intelligence.