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Apache Flink

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 radarUnderstand more
Nov 2019
试验?

自从Apache Flink在2016年首次进入技术雷达“评估”环以来,越来越多的人开始采用它了。Flink被视为领先的流处理引擎,在批处理与机器学习领域也逐渐成熟。与其他流处理引擎相比,Flink的独特之处在于,它使用了一致的应用状态检查点。当发生错误时,应用可以重启,并从最近的检查点载入状态继续处理,就好像错误从未发生一样,这让我们不必为了容错而不得不构建和操作复杂的外部系统。我们看到越来越多的公司,在使用Flink构建他们的数据处理平台。

Nov 2016
评估?

Interest continues to build for Apache Flink, a new-generation platform for scalable distributed batch and stream processing. At the core of Apache Flink is a streaming data-flow engine, with support for tabular (SQL-like), graph-processing and machine learning operations. Apache Flink stands out with feature rich capabilities for stream processing: event time, rich streaming window operations, fault tolerance and exactly-once semantics. The project shows significant ongoing activity, with the latest release (1.1) introducing new datasource/sink integrations as well as improved streaming features.

Apr 2016
评估?

Apache Flink is a new-generation platform for scalable distributed batch and stream processing. At its core is a streaming data-flow engine. It also supports tabular (SQL-like), graph-processing and machine-learning operations. Apache Flink stands out with feature-rich capabilities for stream processing: event time, rich streaming window operations, fault tolerance and exactly-once semantics. While it hasn't reached version 1.0, it has raised significant community interest due to innovations in stream processing, memory handling, state management and simplicity of configuration.