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Cloudtrek VS Amazon EMR

Compare Cloudtrek VS Amazon EMR and see what are their differences

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Cloudtrek logo Cloudtrek

We at cloudtrek help companies quickly deploy private cloud solutions preserving their need for greater control, predictable costs, and ease of use.

Amazon EMR logo Amazon EMR

Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
  • Cloudtrek Landing page
    Landing page //
    2023-10-23
  • Amazon EMR Landing page
    Landing page //
    2023-04-02

Cloudtrek videos

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

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Amazon EMR videos

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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 Cloudtrek and Amazon EMR)

Cloudtrek

Amazon EMR

Databases
100 100%
Databases
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Cloud Computing
100 100%
Cloud Computing
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

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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.

Cloudtrek mentions (0)

We have not tracked any mentions of Cloudtrek yet. Tracking of Cloudtrek 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 Cloudtrek and Amazon EMR, you can also consider the following products

Couchbase Data Platform - Learn about the top 3 problems holding back innovation in the database world. Liberate your data and innovate without limits using a powerful data platform.

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

Rackspace - More than 100,000 businesses trust Rackspace with their hosting and cloud computing. Get cloud, managed and hybrid hosting all backed by Fanatical Support.

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

Apache Drill - Schema-Free SQL Query Engine for Hadoop and NoSQL

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

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