Apache Flink VS Meteor

Apache Flink Reviews

Meteor Reviews

Apache Flink mentions (27)

• Top 10 Common Data Engineers and Scientists Pain Points in 2024

  Data scientists often prefer Python for its simplicity and powerful libraries like Pandas or SciPy. However, many real-time data processing tools are Java-based. Take the example of Kafka, Flink, or Spark streaming. While these tools have their Python API/wrapper libraries, they introduce increased latency, and data scientists need to manage dependencies for both Python and JVM environments. For example,... - Source: dev.to / 13 days ago

• Choosing Between a Streaming Database and a Stream Processing Framework in Python

  Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 2 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 / 4 months ago

• Getting Started with Flink SQL, Apache Iceberg and DynamoDB Catalog

  Due to the technology transformation we want to do recently, we started to investigate Apache Iceberg. In addition, the data processing engine we use in house is Apache Flink, so it's only fair to look for an experimental environment that integrates Flink and Iceberg. - Source: dev.to / 4 months ago

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