Apache Beam
Google Cloud Dataflow
Apache Airflow
Amazon EMR
Google BigQuery
Snowflake
Qubole
Databricks
Firebase
Supabase
Android Studio
OneSignal
Socket.io
Pusher
PubNub
Xcode
Apache Beam FirebaseBased on our record, Firebase seems to be a lot more popular than Apache Beam. While we know about 248 links to Firebase, we've tracked only 14 mentions of Apache Beam. 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
Head over to Firebase Developer Console homepage, sign in using your Gmail address, and click the Go to Console button to navigate to the console's overview page. - Source: dev.to / about 19 hours ago
I didn't really give much thought as to which backend I would use. I already had 2 projects in Supabase (BOXCUT & MineWork), but also a few projects in Firebase too. I was more concerned at the time at actually building the product. - Source: dev.to / 3 days ago
Firebase, a well-known backend platform, is widely utilized for building Serverless or Headless web and mobile applications. This discussion will delve into executing comprehensive CRUD (Create, Read, Update, Delete) operations within Firebase. CRUD operations serve as fundamental building blocks for both web and mobile applications. To initiate this process, create a new project in the Firebase Console.... - Source: dev.to / about 2 months ago
For example, you can rely on the powerful OAuth by Okta to handle your Auth services, Flutterwave payment gateway to accept payment, and Google Firebase Messaging to manage notifications. - Source: dev.to / 2 months ago
Backend as a Service (BaaS) goes back to early 2010’s with companies like Parse and Firebase. These products integrated everything a backend provides to a webapp in a single, integrated package that makes it easier to get started and enables you to offload some of the devops maintenance work to someone else. - Source: dev.to / 3 months ago
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
Supabase - An open source Firebase alternative
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
Android Studio - Android development environment based on IntelliJ IDEA
Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
OneSignal - Customer engagement platform used by over 1 million developers and marketers; the fastest and most reliable way to send mobile and web push notifications, in-app messages, emails, and SMS.