difference between exactly-once and at-least-once guarantees

Below definitions are quoted from Akka Documentation at-most-once delivery means that for each message handed to the mechanism, that message is delivered zero or one times; in more casual terms it means that messages may be lost. at-least-once delivery means that for each message handed to the mechanism potentially multiple attempts are made at delivering … Read more

What are the benefits of Apache Beam over Spark/Flink for batch processing?

There’s a few things that Beam adds over many of the existing engines. Unifying batch and streaming. Many systems can handle both batch and streaming, but they often do so via separate APIs. But in Beam, batch and streaming are just two points on a spectrum of latency, completeness, and cost. There’s no learning/rewriting cliff … Read more

What is/are the main difference(s) between Flink and Storm?

Disclaimer: I’m an Apache Flink committer and PMC member and only familiar with Storm’s high-level design, not its internals. Apache Flink is a framework for unified stream and batch processing. Flink’s runtime natively supports both domains due to pipelined data transfers between parallel tasks which includes pipelined shuffles. Records are immediately shipped from producing tasks … Read more

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