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TDMQ for CKafka
DocumentationTDMQ for CKafkaProduct IntroductionOverview
Overview
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Last updated: 2025-03-26 21:29:38
Overview
Last updated: 2025-03-26 21:29:38
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TDMQ for CKafka Overview

TDMQ For CKafka is a distributed, high-throughput, highly scalable messaging system that is 100% compatible with open-source Kafka API versions 2.4, 2.8, and 3.2. Based on a publish/subscribe model, CKafka enables producers and consumers to interact asynchronously without waiting for each other through message decoupling. It has the advantages of high availability, data compression, and support for both offline and real-time data processing. It is suitable for scenarios such as log compression collection, monitoring data aggregation, and streaming data integration.

Features

Decoupling producers and consumers
TDMQ for CKafka effectively decouples the relationship between producers and consumers, allowing for independent scaling or modification of the processing flow between producers and consumers while ensuring the same API constraints.
Peak shifting and valley filling
TDMQ for CKafka can withstand access traffic surges instead of completely crashing due to sudden overwhelming requests, which effectively boosts system robustness.
Sequential read/write
TDMQ for CKafka ensures the orderliness of messages within a partition. Like most message queues, it guarantees that data is processed in sequence, greatly improving disk efficiency.
Async communication
In scenarios where immediate message processing is not required, TDMQ for CKafka provides an asynchronous message processing mechanism. During high traffic periods, messages are simply placed in the queue and processed later when the traffic decreases, alleviating system pressure.
Note:
TDMQ for CKafka supports private deployment. You can submit a ticket for consultation.

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