Based on our record, Next.js seems to be a lot more popular than Apache Storm. While we know about 1074 links to Next.js, we've tracked only 11 mentions of Apache Storm. 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.
But I want to say that this topic is clearly not new in 2025, I will not reveal anything supernatural here. HTMX and Alpine.js have already fully proven to everyone that this is not nonsense. I am just retelling everything, but with one interesting remark - this is the HMPL template language which is better than the previous two in some tasks. Next, I will describe why and how it will help you replace Next.js. - Source: dev.to / 14 days ago
This article assumes the reader is a developer that knows their way around Markdown, TypeScript, React.js, and [Next.js] https://nextjs.org/). Familiarity with Tailwind-css would also be useful. - Source: dev.to / 16 days ago
The popularisation of SSR among frontend developers can be largely attributed to the widespread adoption of frameworks with server-side rendering. These frameworks provide an elegant integration of SSR with modern JavaScript libraries and frameworks like React and Vue.js. Next.js, for instance, has become a de facto choice for many React developers seeking to leverage SSR's benefits without sacrificing the... - Source: dev.to / 16 days ago
My only true recommendation would be to prefer React for mobile or SSR applications, as community projects (Expo for mobile and Next.js for SSR) are more mature and easier to set up. - Source: dev.to / 26 days ago
This is a Next.js project bootstrapped with create-next-app. - Source: dev.to / 28 days ago
There are several frameworks available for batch processing, such as Hadoop, Apache Storm, and DataTorrent RTS. - Source: dev.to / over 2 years ago
Although this article lists a lot of targets for technical selection, there are definitely others that I haven't listed, which may be either outdated, less-used options such as Apache Storm or out of my radar from the beginning, like JAVA ecosystem. - Source: dev.to / over 2 years ago
Storm, a system for real-time and stream processing. - Source: dev.to / over 2 years ago
Google has scaled well and has helped others scale, Twitter has always been behind by years. I think the only thing they did well was Twitter Storm, now taken up by Apache Foundation. Source: over 2 years ago
Streaming: Sparks Streamings's latency is at least 500ms, since it operates on micro-batches of records, instead of processing one record at a time. Native streaming tools like Storm, Apex or Flink might be better for low-latency applications. - Source: dev.to / over 3 years ago
Vercel - Vercel is the platform for frontend developers, providing the speed and reliability innovators need to create at the moment of inspiration.
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
React - A JavaScript library for building user interfaces
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
Nuxt.js - Nuxt.js presets all the configuration needed to make your development of a Vue.js application enjoyable. It's a perfect static site generator.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.