Apache Beam
Google Cloud Dataflow
Apache Airflow
Amazon EMR
Google BigQuery
Snowflake
Qubole
Databricks
PubNub
Firebase
Pusher
Socket.io
Histats
StatCounter
AFSAnalytics
Woopra
Apache Beam PubNubBased on our record, Apache Beam seems to be a lot more popular than PubNub. While we know about 14 links to Apache Beam, we've tracked only 1 mention of PubNub. 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: 5 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
I first learned about gRPC about five years go. Since that moment in time when an engineer at PubNub introduced me to the framework, I have let the idea of gRPC simmer more in the background, especially since I was already rather steeped in REST, Open API, Swagger, and other sundries seen in the broader API space (miss you, Mashery. There seemed to be plenty of great tooling, documentation and technologies... - Source: dev.to / over 2 years 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.
Pusher - Pusher is a hosted API for quickly, easily and securely adding scalable realtime functionality via WebSockets to web and mobile apps.
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)