Based on our record, Laravel seems to be a lot more popular than Kafka Streams. While we know about 240 links to Laravel, we've tracked only 14 mentions of Kafka Streams. 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.
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 / about 1 year ago
We’re not discussing the technical details behind the deduplication process. It could be Apache Flink, Apache Spark, or Kafka Streams. Anyway, it’s out of the scope of this article. - Source: dev.to / over 2 years ago
In pub-sub systems, you cannot have multiple services to consume the same data because the messages are deleted after being consumed by one consumer. Whereas in Kafka, you can have multiple services to consume. This opens the door to a lot of opportunities such as Kafka streams, Kafka connect. We’ll discuss these at the end of the series. - Source: dev.to / over 2 years ago
Internally, Streamiz use the .Net client for Apache Kafka released by Confluent and try to provide the same features than Kafka Streams. There is gap between these two library, but the trend is decreasing after each release. - Source: dev.to / over 2 years ago
Both Kafka and Pulsar provide some kind of stream processing capability, but Kafka is much further along in that regard. Pulsar stream processing relies on the Pulsar Functions interface which is only suited for simple callbacks. On the other hand, Kafka Streams and ksqlDB are more complete solutions that could be considered replacements for Apache Spark or Apache Flink, state-of-the-art stream-processing... - Source: dev.to / over 2 years ago
Laravel is a PHP web framework used by developers around the world. In March 2024, they launched Laravel Cloud with a full lineup of updates. All dropped at once. - Source: dev.to / 2 months ago
Laravel is a full-stack PHP framework that can be integrated with powerful front-end frameworks such as React or Vue.js. With Laravel, you’ll be creating websites and apps that are scalable and capable of growth. - Source: dev.to / about 1 month ago
If you're planning to convert a backend server to an AI agent using function calling, avoid languages and frameworks that require developers to manually write JSON schemas, such as PHP Laravel and Java Spring RestDocs. - Source: dev.to / about 1 month ago
Using a full-stack framework with batteries-included, such as Wasp for JavaScript (React, Node.js, Prisma) or Laravel for PHP, takes the complexity out of piecing the different parts of the stack together. Since these frameworks are opinionated, they've chosen a set of tools that work well together, and the have the added benefit of doing a lot of work under-the-hood. In the end, the AI can focus on just the... - Source: dev.to / about 1 month ago
Laravel installed (version 8+ recommended). - Source: dev.to / about 2 months ago
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
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Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
Ruby on Rails - Ruby on Rails is an open source full-stack web application framework for the Ruby programming...
Apache Storm - Apache Storm is a free and open source distributed realtime computation system.
CodeIgniter - A Fully Baked PHP Framework