SHAREit VS Amazon EMR

SHAREit

SHAREit allows you to transfer files and data from your phone to another device without having to rely on WiFi or a data plan.

Amazon EMR

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

Landing page //
2023-06-24

Landing page //
2023-04-02

SHAREit videos

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SHAREit app review

Amazon EMR videos

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Amazon EMR Masterclass

Category Popularity

0-100% (relative to SHAREit and Amazon EMR)

Amazon EMR

File Sharing

100 100%

File Sharing

0% 0

Data Dashboard

0 0%

Data Dashboard

100% 100

Cloud Storage

100 100%

Cloud Storage

0% 0

Big Data

0 0%

Big Data

100% 100

User comments

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

Reviews

These are some of the external sources and on-site user reviews we've used to compare SHAREit and Amazon EMR

SHAREit Reviews

Best Wi-Fi File Transfer Software For Windows 10

SHAREit is probably the best cross-platform software that helps you transfer data from mobile to Windows 10 computers via Wi-Fi connectivity. It doesn’t matter whether you have a Windows or Mac computers and iOS or Android mobile, you can install the respective application from the official website and corresponding app repository without any problem. The process to connect...

Source: www.ampercent.com

Amazon EMR Reviews

We have no reviews of Amazon EMR yet.
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Social recommendations and mentions

Based on our record, Amazon EMR seems to be more popular. 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.

SHAREit mentions (0)

We have not tracked any mentions of SHAREit yet. Tracking of SHAREit recommendations started around Mar 2021.

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: over 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: about 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: about 2 years ago