deepstream.io
Socket.io
Firebase
PubNub
Pusher
Supabase
Nchan
Nevercode
Apache Storm
Apache Spark
Apache Flink
Qubole
Apache Beam
Google BigQuery
Hadoop
Amazon Kinesis
deepstream.io Apache StormNo deepstream.io videos yet. You could help us improve this page by suggesting one.
Apache Storm might be a bit more popular than deepstream.io. We know about 11 links to it since March 2021 and only 9 links to deepstream.io. 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.
What your trying to do is very difficult (particularly since your data views are relying upon joins and group queries.) You may need layered solutions. I've been looking at https://deepstream.io for keeping clients in sync. You will still have to watch the db, though the client and back end sync is handled! - Source: Hacker News / 16 days ago
Https://deepstream.io/ - a popular open source realtime server and https://golden-layout.com/ - the leading layout manager for Web Apps - among many other things. You can find more examples of my work at https://wolframhempel.github.io/me/ My specialties are complex, graphically demanding Web Apps and Cloud server architectures. Over the years I've gotten incredibly good at helping my clients deliver some of the... - Source: Hacker News / 4 months ago
Wolfram previously built https://arcentry.com/, https://deepstream.io/ and https://golden-layout.com/, Adam is Director of Engineering for a trading tech company and. - Source: Hacker News / 10 months ago
OS projects: https://deepstream.io/, https://vramework.io/. - Source: Hacker News / over 1 year ago
Deepstream is an open-source library for real-time web application development. The library, which is built with Node.js and Engine.io, helps developers build frontend web applications that perform real-time updates while requiring minimal backend code. - Source: dev.to / over 1 year ago
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lists a lot of targets for technical selection, there are definitely others that I haven't listed, which may be either outdated, less-used options such as Apache Storm or out of my radar from the beginning, like JAVA ecosystem.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
Socket.io - Realtime application framework (Node.JS server)
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
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.
Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.