Software Alternatives & Reviews

ThruPut Manager VS Amazon EMR

Compare ThruPut Manager VS Amazon EMR and see what are their differences

ThruPut Manager logo ThruPut Manager

Automated batch processing, batch optimization and a step toward mainframe modernization can be accomplished using ThruPut Manager from Compuware.

Amazon EMR logo Amazon EMR

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

ThruPut Manager videos

No ThruPut Manager videos yet. You could help us improve this page by suggesting one.

+ Add video

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 ThruPut Manager and Amazon EMR)
Online Services
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Tool
100 100%
0% 0
Big Data
0 0%
100% 100

User comments

Share your experience with using ThruPut Manager and Amazon EMR. For example, how are they different and which one is better?
Log in or Post with

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.

ThruPut Manager mentions (0)

We have not tracked any mentions of ThruPut Manager yet. Tracking of ThruPut Manager 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: about 2 years ago
View more

What are some alternatives?

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

Turbonomic - Turbonomic AI-powered Application Resource Management simultaneously optimizes performance, compliance, and cost in real time. Applications are continually resourced, automatically, to perform while satisfying business constraints.

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

Automate - Automate various tasks on your Android smartphone or tablet.

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

vCloud Director - vCloud Director is an advanced cloud-based infrastructure platform designed specially to simplifies the operations of IT and provides the SLAs for application enhancement with ease.

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