Apache Fluo VS Amazon EMR

Amazon EMR

Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

Landing page //
2019-11-10

Landing page //
2023-04-02

Categories	Big Data Data Management Data Warehousing Big Data Tools
Website	fluo.apache.org

Categories	Big Data Big Data Tools Big Data Infrastructure Data Dashboard
Website	aws.amazon.com

Apache Fluo videos

No Apache Fluo videos yet. You could help us improve this page by suggesting one.

+ Add video

Amazon EMR videos

+ Add

Amazon EMR Masterclass

Category Popularity

0-100% (relative to Apache Fluo and Amazon EMR)

Amazon EMR

Big Data

5 5%

Big Data

95% 95

Data Dashboard

3 3%

Data Dashboard

97% 97

Data Warehousing

8 8%

Data Warehousing

92% 92

Data Management

100 100%

Data Management

0% 0

User comments

Share your experience with using Apache Fluo and Amazon EMR. For example, how are they different and which one is better?

Social recommendations and mentions

Based on our record, Amazon EMR should be more popular than Apache Fluo. 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.

Apache Fluo mentions (1)

Microsoft acquires Kinvolk
Ah, Flatcar Linux Update Operator, got it. I was worried the Apache project with that name had somehow warped into babysitting Flatcar and ... I had questions. Source: almost 3 years ago

Amazon EMR mentions (10)

5 Best Practices For Data Integration To Boost ROI And Efficiency
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
What compute service i should use? Advice for a duck-tape kind of guy
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
Processing a large text file containing millions of records.
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
How to use Spark and Pandas to prepare big data
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
Beginner building a Hadoop cluster
Check out https://aws.amazon.com/emr/. Source: almost 2 years ago