Based on our record, Apache Storm should be more popular than SignalR. It has been mentiond 11 times since March 2021. 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.
There are several frameworks available for batch processing, such as Hadoop, Apache Storm, and DataTorrent RTS. - Source: dev.to / over 1 year 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lists a lot of targets for technical selection, there are definitely others that I haven't listed, which may be either outdated, less-used options such as Apache Storm or out of my radar from the beginning, like JAVA ecosystem.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 1 year ago
Storm, a system for real-time and stream processing. - Source: dev.to / over 1 year 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 1 year 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 2 years ago
Blazor Server basically has the server remote control puppet everything on the client through SignalR. Source: 12 months ago
SignalR is a layer over websockets, and is available for python. Source: about 1 year ago
Since Go is a pretty simple game and not very graphic intensive, a simple approach would be to use SignalR on ASP.NET, where the server maintains the game board state and just sends minimal messages (for example, piece X moved to location Y, and whose turn it is now) to each player after their respective move in turn. Source: about 1 year ago
SignalR and Pinia for real-time stat updates in the dashboard UI. Source: about 1 year ago
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Socket.io - Realtime application framework (Node.JS server)
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Pusher - Pusher is a hosted API for quickly, easily and securely adding scalable realtime functionality via WebSockets to web and mobile apps.