Software Alternatives & Reviews

Amazon EMR VS Microsoft HDInsight

Compare Amazon EMR VS Microsoft HDInsight 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.

Microsoft HDInsight logo Microsoft HDInsight

A managed Apache Hadoop, Spark, R, HBase, and Storm cloud service made easy
  • Amazon EMR Landing page
    Landing page //
    2023-04-02
  • Microsoft HDInsight Landing page
    Landing page //
    2023-04-10

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

Microsoft HDInsight videos

No Microsoft HDInsight videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Amazon EMR and Microsoft HDInsight)
Data Dashboard
86 86%
14% 14
Big Data
95 95%
5% 5
Development
66 66%
34% 34
Data Warehousing
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Amazon EMR should be more popular than Microsoft HDInsight. 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: 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: about 2 years ago
View more

Microsoft HDInsight mentions (1)

  • What are some options for a server version of R?
    I also know that Microsoft used to as well with Microsoft Machine Learning Server, but I read their blog post update on deprecating that next year and, honestly still find it confusing--like, are they still having an R server option or is it just R integration into other server-based services? What is this "R Server for HDInsight" thing? Source: over 2 years ago
  • Is azure a viable career path for DE?
    Also there is HDInsight: https://azure.microsoft.com/en-us/services/hdinsight/. Source: over 2 years ago

What are some alternatives?

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

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

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

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

MapR Converged Data Platform - An enterprise-grade distributed data platform that you can trust to reliably store and process big and fast data.

IBM SPSS Statistics - IBM SPSS Statistics is software that provides detailed analysis of statistical data. The company behind the product practically needs no introduction, as it's been a staple of the technology industry for over 100 years.

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