Meteor VS Apache Spark

Meteor Reviews

Apache Spark Reviews

Meteor mentions (10)

• Tutorial: how to install Meteor.js with Tailwind CSS and Flowbite

  Meteor.js is a full-stack JavaScript platform for developing modern web and mobile applications. Meteor includes a key set of technologies for building connected-client reactive applications, a build tool, and a curated set of packages from the Node.js and general JavaScript community. - Source: dev.to / 9 months ago

• Meteor.js with Vite, Solid, and Tailwind CSS

  Meteor.js is a full-stack platform that simplifies the development of web applications by providing a unified approach to building both the front-end and back-end. With real-time data updates, Meteor.js speeds up the development process and ensures you can create powerful applications. - Source: dev.to / 12 months ago

• If You Were Building Chess.com Today, Which Tech Stack Would You Use and Why?

  You could build the whole thing with meteor.com and React. Source: over 1 year ago

• How Devographics Surveys Are Run, 2022 Edition

  This app is itself is a Next.js app that relies on Vulcan.js, a full-stack JavaScript framework that I originally created for Meteor, and that Eric Burel later ported to Next.js. But we will likely phase out the Vulcan.js part eventually to make it a more standard codebase. - Source: dev.to / over 1 year ago

• Meteor and React Native - Create a native mobile app

  You need to have Meteor installed on your system. Follow the Meteor installation instructions on the Meteor website. - Source: dev.to / 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 / 4 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