Apache Beam
Google Cloud Dataflow
Apache Airflow
Amazon EMR
Google BigQuery
Snowflake
Qubole
Databricks
Lightbend Akka Platform
Apache Spark
Apache Storm
Tigon
Apache Airflow
Goka
Confluent
Hadoop
Apache Beam Lightbend Akka PlatformNo Lightbend Akka Platform videos yet. You could help us improve this page by suggesting one.
Based on our record, Apache Beam seems to be a lot more popular than Lightbend Akka Platform. While we know about 14 links to Apache Beam, we've tracked only 1 mention of Lightbend Akka Platform. 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
Akka Platform includes Akka Cloud Platform for AWS and GCP (with Azure coming soon) and Akka Data Pipelines. Together, you get the full power of Akka reactive microservices frameworks and streaming Data pipelines to run on-premise or in the cloud. - Source: dev.to / almost 3 years ago
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
Apache Storm - Apache Storm is a free and open source distributed realtime computation system.
Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
Tigon - Tigon is an open source real-time stream processing framework built on top of Apache Hadoop and Apache HBase.
