2 रिपॉजिटरी
Grouping multiple data records into single transactions to increase ingestion throughput and reduce network overhead.
Distinct from Multi-Table Batch Writes: General-purpose batching for throughput, unlike the candidates which focus on LSM-trees, multi-table writes, or offline feature stores.
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DataX is a distributed data integration framework and plugin-based ETL tool designed for synchronizing large datasets between heterogeneous sources and destinations. It functions as a JDBC data migration engine and offline synchronization tool, enabling the movement of data between relational databases, NoSQL stores, and object storage. The system utilizes a plugin-based connector architecture that decouples reader and writer logic, allowing it to map and transform data types across different storage engines using a standardized internal representation. This design supports heterogeneous data
Groups multiple record writes into a single transaction to increase data ingestion speed and reduce network overhead.
Maxwell is a MySQL change data capture tool and binlog streaming application that converts database modifications into structured JSON events. It functions as a data pipeline that reads MySQL binary logs to synchronize changes across external indices, search engines, and distributed messaging systems such as Kafka. The project provides capabilities to maintain persistent audit trails by recording a chronological history of all database modifications. It enables real-time data synchronization and event-driven architecture integration by streaming database changes to external platforms to trigg
Implements batch write buffering to increase throughput and reduce network overhead when streaming database changes.