
Google BigQuery
Google Cloud Dataflow
Google Cloud Dataproc
Qubole
Snowflake
HortonWorks Data Platform
Databricks
Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

GitHub Codespaces
CloudShell
CodeTasty
StackHive
Coda for iOS
CodeAbbey
Slingcode
Write code. Catch Bananas. Save the World.
Which is more popular?
Based on our record, Amazon EMR seems to be more popular. It has been mentioned 10 times since March 2021.
Website, pricing, platforms and company facts side by side.
|
|
|
|
|---|---|---|
| Website | aws.amazon.com | codemonkey.com |
| Pricing | — | |
| Company | — | Startup from Israel · 20 - 49 employees · 2014 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Amazon EMR yet.
Codemonkey is an interactive online platform designed to make learning code fun for kids from 5-14 years old. Through engaging games and challenges, it introduces programming concepts in a clear and accessible way. As children write code to help a monkey complete different tasks and puzzles, they...
What each product offers, as listed by its team.


Possible disadvantages
Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Amazon EMR is recommended for data engineers, data scientists, and IT professionals who need to manage and process large datasets in a scalable, efficient, and cost-effective manner. It is especially suitable for businesses that are already using AWS services and want to leverage a tightly integrated ecosystem. Additionally, it is a good choice for organizations that require rapid and flexible data analysis capabilities provided by frameworks such as Hadoop, Spark, HBase, and Presto.
No analysis of CodeMonkey yet.
Walkthroughs and reviews on video.
Amazon EMR Masterclass
More videos
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Amazon EMR and CodeMonkey.
CodeMonkey's answer:
CodeMonkey stands out by teaching real programming languages like CoffeeScript and Python through fun, game-based challenges. Unlike many platforms that rely only on block coding, it gradually transitions students to text-based coding for a more authentic experience. Its engaging storyline, where kids help a monkey complete tasks by writing code, keeps learners motivated and invested. The platform also supports educators with detailed lesson plans, progress tracking, and classroom management tools. With its global accessibility and step-by-step guidance, CodeMonkey makes coding approachable and enjoyable for children everywhere.
CodeMonkey's answer:
CodeMonkey is a great choice because it makes learning to code fun and exciting through interactive games and real coding languages. Unlike some other platforms that stick to just drag-and-drop blocks, CodeMonkey helps kids start writing real code early on. It’s super easy to use, with step-by-step instructions and instant feedback to keep learners on track. Teachers and parents also love it because it comes with ready-made lessons and tools to track progress. Plus, it’s used all over the world and available in different languages, so anyone can jump in and start coding!
CodeMonkey's answer:
CodeMonkey’s primary audience is children, typically aged 5 to 14, who are just starting to explore the world of coding. It’s designed for young learners who enjoy games and interactive challenges that make learning feel like play. The platform is also a great fit for educators and parents looking for a fun, structured way to teach programming. With content suitable for beginners and more advanced students, it appeals to a wide range of skill levels. Overall, CodeMonkey is perfect for curious kids who love solving puzzles and want to build real coding skills in a fun, supportive environment.
CodeMonkey's answer:
CodeMonkey was founded in 2014 by Jonathan Schor, Ido Schor, and Yishai Pinchover, inspired by their experiences teaching kids to code through playful activities. They envisioned a platform that would make coding accessible and enjoyable for children, blending real programming languages with engaging, game-based learning. Launched in Israel, CodeMonkey quickly gained global traction, reaching over 34 million students in 206 countries by 2024 . In 2018, it was acquired by TAL Education Group but continues to operate independently, expanding its offerings to include courses in AI, data science, and digital literacy. Today, CodeMonkey remains committed to empowering young learners worldwide through fun and effective coding education.
Share your experience with using Amazon EMR and CodeMonkey. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


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... Source: over 3 years 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: about 4 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: over 4 years ago
Tracking CodeMonkey since Mar 2021.
When comparing Amazon EMR and CodeMonkey, you can also consider the following products.

A fully managed data warehouse for large-scale data analytics.
Compare Google BigQuery to Amazon EMR or CodeMonkey:

GItHub Codespaces is a hosted remote coding environment by GitHub based on Visual Studio Codespaces integrated directly for GitHub.
Compare GitHub Codespaces to Amazon EMR or CodeMonkey:

Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
Compare Google Cloud Dataflow to Amazon EMR or CodeMonkey:

Cloud Shell is a free admin machine with browser-based command-line access for managing your infrastructure and applications on Google Cloud Platform.
Compare CloudShell to Amazon EMR or CodeMonkey:

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
Compare Google Cloud Dataproc to Amazon EMR or CodeMonkey:

CodeTasty is a programming platform for developers in the cloud.
Compare CodeTasty to Amazon EMR or CodeMonkey: