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This article explores four practical methods for synchronizing MySQL data to Elasticsearch—including synchronous and asynchronous double writes, SQL extraction, and binlog real‑time replication—while reviewing popular migration tools such as Canal, Alibaba DTS, and Databus to help you choose the right solution.
This article explains how Canal, Maxwell, Databus, and Alibaba's Data Transmission Service (DTS) enable incremental data subscription and consumption by parsing MySQL binlog streams, describing their architectures, processing steps, and comparative advantages for building reliable change‑data‑capture pipelines.
This article explains how Canal, Maxwell, Databus, and Alibaba Cloud DTS capture and stream MySQL binlog changes in real time, detailing their architectures, processing steps, and key features such as filtering, routing, and high‑availability delivery.
This article introduces four change‑data‑capture solutions—Canal, Maxwell, Databus, and Alibaba Data Transmission Service (DTS)—explaining their principles, processing steps, features, and practical advantages for real‑time data synchronization and migration in big‑data environments.