Software Alternatives, Accelerators & Startups

Monkkee VS Amazon EMR

Compare Monkkee VS Amazon EMR and see what are their differences

Monkkee logo Monkkee

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

Amazon EMR logo Amazon EMR

Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
  • Monkkee Landing page
    Landing page //
    2023-07-29
  • Amazon EMR Landing page
    Landing page //
    2023-04-02

Monkkee videos

Journal Monkkee

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

Category Popularity

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

User comments

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Reviews

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

Monkkee Reviews

  1. Most secure journal app, easy to use and free

    Monkkee is so secure that the entries can be read only by you. If you lost the password it is lost forever. No one has access to even your password. It provides client side encryption i.e the entries are encrypted even before they are transferred to the server. It is easy to use. You can categorize your diary entries using tags.

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.

Monkkee mentions (0)

We have not tracked any mentions of Monkkee yet. Tracking of Monkkee 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: 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: 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
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What are some alternatives?

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

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

The Guide - The Guide is a two-pane outliner - a program that allows you to arrange text notes in a tree-like...

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

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.

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?