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Based on our record, Google Cloud Dataflow 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.
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 / 7 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
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: about 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
Socket.io - Realtime application framework (Node.JS server)
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.
Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
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.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?