Software Alternatives & Reviews

MapR VS Amazon EMR

Compare MapR VS Amazon EMR and see what are their differences

MapR logo MapR

MapR is a leading high-performance data management or IT management solution that integrates Apache Drill, Hadoop and Spark with real-time global event streaming, scalable enterprise storage, and database capabilities in order to control large appli…

Amazon EMR logo Amazon EMR

Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
  • MapR Landing page
    Landing page //
    2022-10-09
  • Amazon EMR Landing page
    Landing page //
    2023-04-02

MapR

Categories
  • Data Integration
  • Monitoring Tools
  • Log Management
  • Git
Website mapr.com

Amazon EMR

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

MapR videos

Hadoop Distribution Comparison and Overview: Cloudera, MapR, and Hortonworks

More videos:

  • Review - The Answer to Life, the Universe, and Everything (sponsored by MapR) - Ted Dunning (MapR)
  • Review - Big Data & Brews: Tomer Shiran of MapR Talks About the Hadoop Market and the Company's Success

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 MapR and Amazon EMR)
Monitoring Tools
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Log Management
100 100%
0% 0
Big Data
0 0%
100% 100

User comments

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

MapR mentions (0)

We have not tracked any mentions of MapR yet. Tracking of MapR 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: 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
View more

What are some alternatives?

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

Cryptlex - Cryptlex is an IT Management software, designed to help you maximize the revenue potential of your software by protecting you against software piracy.

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

Git - Git is a free and open source version control system designed to handle everything from small to very large projects with speed and efficiency. It is easy to learn and lightweight with lighting fast performance that outclasses competitors.

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

BetterCloud - BetterCloud provides critical insights, automated management, and intelligent data security for cloud office platforms.

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