Software Alternatives, Accelerators & Startups

Amazon EMR VS Arcserve UDP

Compare Amazon EMR VS Arcserve UDP 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.

Arcserve UDP logo Arcserve UDP

Arcserve UDP is data backup & recovery software that deals with unified data protection solutions, making you protect your computer system by creating data stores on the recovery point server.
  • Amazon EMR Landing page
    Landing page //
    2023-04-02
  • Arcserve UDP Landing page
    Landing page //
    2023-08-24

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

Arcserve UDP videos

Arcserve UDP Technical Overview

More videos:

  • Review - Arcserve UDP Technical Overview
  • Demo - Arcserve UDP: Technical Demo

Category Popularity

0-100% (relative to Amazon EMR and Arcserve UDP)
Data Dashboard
100 100%
0% 0
Monitoring Tools
0 0%
100% 100
Big Data
100 100%
0% 0
Backup & Sync
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 Amazon EMR and Arcserve UDP

Amazon EMR Reviews

We have no reviews of Amazon EMR yet.
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Arcserve UDP Reviews

15 Best Acronis Alternatives 2022
Arcserve UDP is another great alternative to Acronis with an efficient data protection and recovery disaster solution, functioning on software, hardware, and hybrid cloud platforms.

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.

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: over 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
View more

Arcserve UDP mentions (0)

We have not tracked any mentions of Arcserve UDP yet. Tracking of Arcserve UDP recommendations started around Aug 2021.

What are some alternatives?

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

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

Code42 - Code42 is a SaaS solution for enterprises that secures all user data on one secure platform, leaving you and your business secure in the knowledge that both your employee's and customer's data is protected. Read more about Code42.

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

SolarWinds Backup - Modern server backup software

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

Druva inSync - Your device may be lost, but your data isn’t with Druva inSync™ Integrated backup, eDiscovery and compliance monitoring.