Apache Flink VS Apache Wicket

Apache Flink Reviews

Apache Wicket 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 / 21 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 / 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

• 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 / 5 months ago

Apache Wicket mentions (9)

• We're breaking up with JavaScript front ends

  Sort of sounds like Apache Wicket (https://wicket.apache.org/). I used it for a few projects in the mid-late 2000s. I really liked it being server side and the concept of having object-oriented HTML (code paired with HTML snippets). I haven't had a need to use it since 2014, so haven't kept up with the project. - Source: Hacker News / over 1 year ago

• Can I use Java to build a website?

  You can use Java for Backend and Frontend. A relative new kid on the block for Frontend is Qute. The general keyword you are searching for is Java Templating Engine. Specific examples would be Thymeleaf or FreeMarker. There are some framework, which offer a lot more than templating like Vaadin or Wicket. Some are just specifications like Jakarta Faces with some of their implementations MyFaces or Mojarra. Source: over 1 year ago

• Getting back into Java after 12-15 years away?

  Perhaps, a good competitor for JSF is Apache Wicket. Source: over 1 year ago

• Options for high level front-end frameworks for Java developers

  I have used https://wicket.apache.org/ in the past and I think it matches your needs. It's a simple mvc that focuses on the actual java code writing and uses html only on the layout of your components in your page. Source: about 2 years ago

• Spas Were a Mistake

  Is this the Wicket you're referring to? https://wicket.apache.org/ What's the best intro you know to how it's components work, and the benefits and tradeoffs over other approaches? - Source: Hacker News / about 2 years ago