vert.x VS Apache Beam

vert.x Reviews

Apache Beam Reviews

vert.x mentions (26)

• Spark – A web micro framework for Java and Kotlin

  Https://vertx.io/ It's actively maintained with full time developers, performant, supports Kotlin out of the box, and has more features? - Source: Hacker News / 3 months ago

• Reactive database access on the JVM

  Hibernate Reactive integrates with Vert.x, but an extension allows to bridge to Project Reactor if wanted. - Source: dev.to / 10 months ago

• What's the state of server-side frameworks with Kotlin support today for small teams?

  Personally, I like vertx, it is modular and you can pick and choose what you need. It also has support for kotlin coroutines, https://vertx.io/, https://github.com/vert-x3/vertx-examples/tree/4.x/kotlin-examples. Source: about 1 year ago

• Anything close beam/otp for other languages?

  I really like Eclipse Vert.x... As both an Erlang dev and Java dev, it's a great synergy and soon to have support for Virtual Threads similar to BEAM. Source: about 1 year ago

• Favorite hidden gem library?

  Eclipse Vert.x - Add amazing Async to any Java stack. Source: over 1 year ago

Apache Beam mentions (14)

• Ask HN: Does (or why does) anyone use MapReduce anymore?

  The "streaming systems" book answers your question and more: https://www.oreilly.com/library/view/streaming-systems/9781491983867/. It gives you a history of how batch processing started with MapReduce, and how attempts at scaling by moving towards streaming systems gave us all the subsequent frameworks (Spark, Beam, etc.). As for the framework called MapReduce, it isn't used much, but its descendant... - Source: Hacker News / 3 months ago

• How do Streaming Aggregation Pipelines work?

  Apache Beam is one of many tools that you can use. Source: 5 months ago

• Real Time Data Infra Stack

  Apache Beam: Streaming framework which can be run on several runner such as Apache Flink and GCP Dataflow. - Source: dev.to / over 1 year ago

• Google Cloud Reference

  Apache Beam: Batch/streaming data processing 🔗Link. - Source: dev.to / over 1 year ago

• Composer out of resources - "INFO Task exited with return code Negsignal.SIGKILL"

  What you are looking for is Dataflow. It can be a bit tricky to wrap your head around at first, but I highly suggest leaning into this technology for most of your data engineering needs. It's based on the open source Apache Beam framework that originated at Google. We use an internal version of this system at Google for virtually all of our pipeline tasks, from a few GB, to Exabyte scale systems -- it can do it all. Source: over 1 year ago