Amazon EMR
Google BigQuery
Google Cloud Dataflow
Google Cloud Dataproc
Databricks
Qubole
Snowflake
HortonWorks Data Platform
CloudAMQP
RabbitMQ
Apache Kafka
ZeroMQ
Amazon MQ
Amazon SQS
Apache ActiveMQ
Apache Qpid
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Based on our record, Amazon EMR should be more popular than CloudAMQP. It has been mentiond 10 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.
There are different ways to implement parallel dataflows, such as using parallel data processing frameworks like Apache Hadoop, Apache Spark, and Apache Flink, or using cloud-based services like Amazon EMR and Google Cloud Dataflow. It is also possible to use parallel dataflow frameworks to handle big data and distributed computing, like Apache Nifi and Apache Kafka. Source: about 1 year ago
I'm going to guess you want something like EMR. Which can take large data sets segment it across multiple executors and coalesce the data back into a final dataset. Source: almost 2 years ago
This is exactly the kind of workload EMR was made for, you can even run it serverless nowadays. Athena might be a viable option as well. Source: almost 2 years ago
Apache Spark is one of the most actively developed open-source projects in big data. The following code examples require that you have Spark set up and can execute Python code using the PySpark library. The examples also require that you have your data in Amazon S3 (Simple Storage Service). All this is set up on AWS EMR (Elastic MapReduce). - Source: dev.to / over 2 years ago
Check out https://aws.amazon.com/emr/. Source: about 2 years ago
RabbitMQ dude! Spin up a free instance on cloudamqp.com (not affiliated, but I use them in prod - free instances already are enough for many use cases), throw a bunch of consumers in the queue, push as many jobs as you want and you'll have an awesome indestructible working process. Source: about 2 years ago
We can prefer to install RabbitMQ on our local machine but in that case, the installation steps would be different from the operating system to the operating system and we would need to mess with some network settings. Therefore, we make this step with http://cloudamqp.com. To do that let's create https://cloudamqp.com. Later on, click on the button Create New Instance and create a new message broker instance. We... - Source: dev.to / about 3 years ago
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
RabbitMQ - RabbitMQ is an open source message broker software.
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
Google Cloud Dataproc - Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
ZeroMQ - ZeroMQ is a high-performance asynchronous messaging library.