Goka
Apache Spark
Tigon
Lightbend Akka Platform
Confluent
Apache Storm
Apache Flink
Hadoop
Apache Beam
Google Cloud Dataflow
Apache Airflow
Amazon EMR
Google BigQuery
Snowflake
Qubole
Databricks
Goka Apache BeamBased on our record, Apache Beam seems to be a lot more popular than Goka. While we know about 14 links to Apache Beam, we've tracked only 1 mention of Goka. 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.
You might want to try: https://github.com/lovoo/goka -- it uses levelDB to keep state from a stream. The application we wrote in-house with goka can process (keeping state) approximately 800+ messages/sec per consumer in a consumer-group. Source: about 3 years ago
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
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
Tigon - Tigon is an open source real-time stream processing framework built on top of Apache Hadoop and Apache HBase.
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
Lightbend Akka Platform - Lightbend Fast Data Platform is the easy on-ramp to successful streaming Fast Data applications.
Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
