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Last updated : Oct 28, 2020
Not on the current edition
This blip is not on the current edition of the Radar. If it was on one of the last few editions it is likely that it is still relevant. If the blip is older it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the Radar Understand more
Oct 2020
试验 ? 值得一试。了解为何要构建这一能力是很重要的。企业应当在风险可控的前提下在项目中尝试应用此项技术。

Debezium 是一个变更数据捕获(Change Data Capture, CDC) 平台,可以将数据库变更流式传输到Kafka 的 topics。 CDC是一种流行的技术,具有多种应用场景,例如:将数据复制到其他数据库、输送数据给分析系统、从单体中提取数据至微服务以及废除缓存。 Debezium 对数据库日志文件中的变更做出反应,并具有多个CDC连接器,适用于多种数据库,其中包括Postgres、MySQL、Oracle 和 MongoDB。 我们在许多项目中都使用了Debezium,它对我们来说非常有效。

Nov 2018
评估 ? 在了解它将对你的企业产生什么影响的前提下值得探索

Debezium is a change data capture (CDC) platform that can stream database changes onto Kafka topics. CDC is a popular technique with multiple use cases, including replicating data to other databases, feeding analytics systems, extracting microservices from monoliths and invalidating caches. We're always on the lookout for tools or platforms in this space (we talked about Bottled Water in a previous Radar) and Debezium is an excellent choice. It uses a log-based CDC approach which means it works by reacting to changes in the database's log files. Debezium uses Kafka Connect which makes it highly scalable and resilient to failures and has CDC connectors for multiple databases including Postgres, Mysql and MongoDB. We're using it in a few projects and it has worked very well for us.

已发布 : Nov 14, 2018
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