Based on our record, Apache Flink seems to be a lot more popular than Opa. While we know about 41 links to Apache Flink, we've tracked only 3 mentions of Opa. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I remember Opa http://opalang.org/ tried something similar at the time when MongoDB was new and modern. - Source: Hacker News / over 1 year ago
We come across some web frameworks and technologies that we think will succeed, but they wither away as time passes by and don't succeed to the level we expected. Which web frameworks and or technologies did you come across that you thought would succeed but did not as per your expectations? For example, I thought that Opa Lang[0] and UrWeb[1] would succeed but did not, even though the ideas were sound. [0]... - Source: Hacker News / almost 2 years ago
I think the Opa language was doing JSX-like code in the frontend before JSX http://opalang.org/ Both Opa and JSX were created in 2011. Opa had other innovations as well, such having the same code base run on both client and server (like Next.js). Unfortunately it didn't get traction and was abandoned by the creators. - Source: Hacker News / about 4 years ago
Continuous Learning: Leverage online tutorials from the official Flink website and attend webinars for deeper insights. - Source: dev.to / 8 days ago
Apache Flink, known initially as Stratosphere, is a distributed stream processing engine initiated by a group of researchers at TU Berlin. Since its initial release in May 2011, Flink has gained immense popularity in both academia and industry. And it is currently the most well-known streaming system globally (challenge me if you think I got it wrong!). - Source: dev.to / 21 days ago
Apache Iceberg defines a table format that separates how data is stored from how data is queried. Any engine that implements the Iceberg integration — Spark, Flink, Trino, DuckDB, Snowflake, RisingWave — can read and/or write Iceberg data directly. - Source: dev.to / 26 days ago
The last decade saw the rise of open-source frameworks like Apache Flink, Spark Streaming, and Apache Samza. These offered more flexibility but still demanded significant engineering muscle to run effectively at scale. Companies using them often needed specialized stream processing engineers just to manage internal state, tune performance, and handle the day-to-day operational challenges. The barrier to entry... - Source: dev.to / about 1 month ago
Apache Flink: Flink is a unified streaming and batching platform developed under the Apache Foundation. It provides support for Java API and a SQL interface. Flink boasts a large ecosystem and can seamlessly integrate with various services, including Kafka, Pulsar, HDFS, Iceberg, Hudi, and other systems. - Source: dev.to / about 1 month ago
Ruby on Rails - Ruby on Rails is an open source full-stack web application framework for the Ruby programming...
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
ASP.NET - ASP.NET is a free web framework for building great Web sites and Web applications using HTML, CSS and JavaScript.
Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
ember.js - A JavaScript framework for creating ambitious web apps
Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.