Apache Storm
Apache Spark
Apache Flink
Google BigQuery
Hadoop
Qubole
Apache Beam
Amazon Kinesis
Pusher
Socket.io
Firebase
PubNub
OneSignal
Ably
SignalR
SendBird
Apache Storm PusherBased on our record, Pusher should be more popular than Apache Storm. It has been mentiond 50 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lists a lot of targets for technical selection, there are definitely others that I haven't listed, which may be either outdated, less-used options such as Apache Storm or out of my radar from the beginning, like JAVA ecosystem.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
Now let's push the notification to pusher. First you have to go to Https://pusher.com/ login create an app an get API keys. Then fill them in your .env file. - Source: dev.to / about 1 month ago
Pusher.com — Realtime messaging service. Free for up to 100 simultaneous connections and 200,000 messages/day. - Source: dev.to / 4 months ago
Another tool is pusher but have a high cost https://pusher.com/. Source: 6 months ago
Pusher specializes in realtime WebSockets and offers a straightforward way to integrate realtime features into your React app. It's a reliable choice for apps that need to send notifications based on realtime events. - Source: dev.to / 8 months ago
Why are you considering building your own websocket service instead of using something like https://pusher.com/ ? Source: 11 months 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.
PubNub - PubNub is a real-time messaging system for web and mobile apps that can handle API for all platforms and push messages to any device anywhere in the world in a fraction of a second without having to worry about proxies, firewalls or mobile drop-offs.