Apache Beam VS Apache Storm

Apache Beam Reviews

Apache Storm Reviews

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

Apache Storm mentions (11)

• Data Engineering and DataOps: A Beginner's Guide to Building Data Solutions and Solving Real-World Challenges

  There are several frameworks available for batch processing, such as Hadoop, Apache Storm, and DataTorrent RTS. - Source: dev.to / about 1 year ago

• Real Time Data Infra Stack

  Although this article lists a lot of targets for technical selection, there are definitely others that I haven't listed, which may be either outdated, less-used options such as Apache Storm or out of my radar from the beginning, like JAVA ecosystem. - Source: dev.to / over 1 year ago

• In One Minute : Hadoop

  Storm, a system for real-time and stream processing. - Source: dev.to / over 1 year ago

• Elon Musk reportedly wants to fire 75% of Twitter’s employees

  Google has scaled well and has helped others scale, Twitter has always been behind by years. I think the only thing they did well was Twitter Storm, now taken up by Apache Foundation. Source: over 1 year ago

• Spark for beginners - and you

  Streaming: Sparks Streamings's latency is at least 500ms, since it operates on micro-batches of records, instead of processing one record at a time. Native streaming tools like Storm, Apex or Flink might be better for low-latency applications. - Source: dev.to / over 2 years ago