Software Alternatives, Accelerators & Startups

Amazon EMR VS The Guide

Compare Amazon EMR VS The Guide and see what are their differences

Amazon EMR logo Amazon EMR

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

The Guide logo The Guide

The Guide is a two-pane outliner - a program that allows you to arrange text notes in a tree-like...
  • Amazon EMR Landing page
    Landing page //
    2023-04-02
  • The Guide Landing page
    Landing page //
    2023-05-12

Amazon EMR videos

Amazon EMR Masterclass

More videos:

  • Review - Deep Dive into What’s New in Amazon EMR - AWS Online Tech Talks
  • Tutorial - How to use Apache Hive and DynamoDB using Amazon EMR

The Guide videos

The Guide | R K Narayan | Book Review

More videos:

  • Review - SALEHE BEMBURY NEW BALANCE 2002R WATER BE THE GUIDE REVIEW & ON FEET + SIZING...HOW GOOD ARE THESE?
  • Review - Deviate The Guide First Ride Review - Pinion Gearbox, Sorted Suspension

Category Popularity

0-100% (relative to Amazon EMR and The Guide)
Data Dashboard
100 100%
0% 0
Note Taking
0 0%
100% 100
Big Data
100 100%
0% 0
Office & Productivity
0 0%
100% 100

User comments

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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.

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
View more

The Guide mentions (0)

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

What are some alternatives?

When comparing Amazon EMR and The Guide, you can also consider the following products

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Ideanote - Ideanote is the #1 rated Idea Management solution for companies of all sizes. Collect, develop and manage more of the right ideas from customers and employees to drive your growth.

Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

Monkkee - Keep a private journal securely on the Internet – to provide a convenient user experience your...

Google Cloud Dataproc - Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost

Idea Notebook - Idea Notebook is an app that allows you to keep track of your logs business ideas and track as well as organize them.