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Amazon EMR VS Egnyte

Compare Amazon EMR VS Egnyte and see what are their differences

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Amazon EMR logo Amazon EMR

Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

Egnyte logo Egnyte

Enterprise File Sharing
  • Amazon EMR Landing page
    Landing page //
    2023-04-02
  • Egnyte Landing page
    Landing page //
    2023-09-14

Amazon EMR videos

+ Add

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

Egnyte videos

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Egnyte File Sharing Demo

More videos:

  • Review - Egnyte vs Box: Enterprise Online File Storage and Syncing
  • Review - Power of Egnyte for Users

Category Popularity

0-100% (relative to Amazon EMR and Egnyte)

Amazon EMR

Egnyte

Data Dashboard
100 100%
Data Dashboard
0% 0
Cloud Storage
0 0%
Cloud Storage
100% 100
Big Data
100 100%
Big Data
0% 0
Monitoring Tools
0 0%
Monitoring Tools
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 Egnyte

Amazon EMR Reviews

We have no reviews of Amazon EMR yet.
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Egnyte Reviews

13 Best Free Dropbox Alternatives for File Sharing
The Egnyte service offers many different payment tiers and plans, and many users like that they do not have to commit to long contracts, but can pay monthly for service. Current rates for Egnyte are about twenty five dollars per month on average for unlimited storage space with the service. Smaller packages can be arranged for casual users, personal accounts and small...
Source: brainyhubs.com

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: 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

Egnyte mentions (0)

We have not tracked any mentions of Egnyte yet. Tracking of Egnyte recommendations started around Mar 2021.

What are some alternatives?

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

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

Google Drive - Access and sync your files anywhere

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

Dropbox - Online Sync and File Sharing

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

Box - Box offers secure content management and collaboration for individuals, teams and businesses, enabling secure file sharing and access to your files online.

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