Apache Beam
Google Cloud Dataflow
Apache Airflow
Amazon EMR
Google BigQuery
Snowflake
Databricks
Qubole
deepstream.io
Firebase
PubNub
Socket.io
Pusher
Supabase
NATS
Nevercode
Apache Beam| Categories |
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| Website | beam.apache.org |
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deepstream.io| Categories |
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| Website | deepstream.io |
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Based on our record, Apache Beam should be more popular than deepstream.io. It has been mentiond 14 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.
The "streaming systems" book answers your question and more: https://www.oreilly.com/library/view/streaming-systems/9781491983867/. It gives you a history of how batch processing started with MapReduce, and how attempts at scaling by moving towards streaming systems gave us all the subsequent frameworks (Spark, Beam, etc.). As for the framework called MapReduce, it isn't used much, but its descendant... - Source: Hacker News / 3 months ago
Apache Beam is one of many tools that you can use. Source: 4 months ago
Apache Beam: Streaming framework which can be run on several runner such as Apache Flink and GCP Dataflow. - Source: dev.to / over 1 year ago
Apache Beam: Batch/streaming data processing 🔗Link. - Source: dev.to / over 1 year ago
What you are looking for is Dataflow. It can be a bit tricky to wrap your head around at first, but I highly suggest leaning into this technology for most of your data engineering needs. It's based on the open source Apache Beam framework that originated at Google. We use an internal version of this system at Google for virtually all of our pipeline tasks, from a few GB, to Exabyte scale systems -- it can do it all. Source: over 1 year ago
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 / 1 day 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
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
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.
Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
Socket.io - Realtime application framework (Node.JS server)
