Based on our record, ZeroMQ should be more popular than Google Cloud Dataflow. It has been mentiond 35 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.
In this post from 2011, the creator of Omegle, Leif Brooks, explains what technology is used, including Python and a library called gevent for the backend. On top of that, Adobe Cirrus is used for streaming video. Though this post was 12 years ago, it is valuable to know what a web application like Omegle requires. A modern library that may provide some functionality for a text chat at a minimum may be... Source: 6 months ago
They might be thinking of something like ZeroMQ, which is pretty well liked: https://zeromq.org/ That said, I wouldn't call RabbitMQ that heavyweight myself, at least when compared to something like Apache Kafka. - Source: Hacker News / 7 months ago
If you want to learn message passing in an environment you're familiar with, you should check out ZeroMQ. It's a C++ lib for socket abstraction, it's immensely useful in distributed systems, it can also do in-process message passing, and it's got bindings/ports for C and Rust. Source: 12 months ago
Inspired by the IDE language server protocol, I created an API interface between the electron and the Python ML interface. ZeroMQ turned out be an invaluable resource as a fast and lightweight messaging queue between the two. - Source: dev.to / about 1 year ago
If you really need it live, like for a chat or auctions you can use https://zeromq.org/ over websockets. Source: about 1 year ago
Imo if you are using the cloud and not doing anything particularly fancy the native tooling is good enough. For AWS that is DMS (for RDBMS) and Kinesis/Lamba (for streams). Google has Data Fusion and Dataflow . Azure hasData Factory if you are unfortunate enough to have to use SQL Server or Azure. Imo the vendored tools and open source tools are more useful when you need to ingest data from SaaS platforms, and... Source: over 1 year ago
This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: over 1 year ago
I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: over 1 year ago
You can run a Dataflow job that copies the data directly from BQ into S3, though you'll have to run a job per table. This can be somewhat expensive to do. Source: over 1 year ago
It was clear we needed something that was built specifically for our big-data SaaS requirements. Dataflow was our first idea, as the service is fully managed, highly scalable, fairly reliable and has a unified model for streaming & batch workloads. Sadly, the cost of this service was quite large. Secondly, at that moment in time, the service only accepted Java implementations, of which we had little knowledge... - Source: dev.to / almost 2 years ago
RabbitMQ - RabbitMQ is an open source message broker software.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
Apache ActiveMQ - Apache ActiveMQ is an open source messaging and integration patterns server.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?