Apache Beam VS ProdCamp
Compare Apache Beam VS ProdCamp and see what are their differences
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Apache Beam
Google Cloud Dataflow
Apache Airflow
Amazon EMR
Google BigQuery
Snowflake
Qubole
Databricks
ProdCamp
productboard
Canny
Feedback Fish
ProdPad
Yafi
airfocus
Aha
ProdCamp offers an all-in-one feedback platform for product teams. - Collect feedback from multiple sources: Email, Intercom, feature voting portal, Feedback widget, Public roadmap, Net Promoter Score, Google Chrome extension, API, etc. - Analyze feedback - Prioritize customer feedback with requests count/value framework, priority score, RICE, or prioritization matrix. - Send to Jira or Gitlab for development team to work on it. - Notify customers when shipping an update: Send automated emails, publish updates to your changelog (both, on a standalone page as well as embeddable to your web app).
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Based on our record, Apache Beam seems to be more popular. 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: 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
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
productboard - Beautiful and powerful product management.
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
Canny - Canny helps you collect and organize feature requests to better understand customer needs and prioritize your roadmap.
Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
Feedback Fish - Collect feedback & make your customers happy.