vert.x VS Apache Spark

vert.x Reviews

Apache Spark 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 Spark mentions (56)

• Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy

  Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉. - Source: dev.to / 2 months ago

• 🦿🛴Smarcity garbage reporting automation w/ ollama

  Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system. - Source: dev.to / 3 months ago

• Go concurrency simplified. Part 4: Post office as a data pipeline

  Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 5 months ago

• Five Apache projects you probably didn't know about

  Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 5 months ago

• Spark – A micro framework for creating web applications in Kotlin and Java

  A JVM based framework named "Spark", when https://spark.apache.org exists? - Source: Hacker News / 11 months ago