Amazon EMR vs Amazon Redshift vs Xplenty

Amazon EMR
Amazon EMR

372
338
+ 1
53
Amazon Redshift
Amazon Redshift

975
765
+ 1
94
Xplenty
Xplenty

6
13
+ 1
2
Pros of Amazon EMR
Pros of Amazon Redshift
Pros of Xplenty

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What is Amazon EMR?

It is used in a variety of applications, including log analysis, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics.

What is Amazon Redshift?

It is optimized for data sets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.

What is Xplenty?

Read and process data from cloud storage sources such as Amazon S3, Rackspace Cloud Files and IBM SoftLayer Object Storage. Once done processing, Xplenty allows you to connect with Amazon Redshift, SAP HANA and Google BigQuery. You can also store processed data back in your favorite relational database, cloud storage or key-value store.
What companies use Amazon EMR?
What companies use Amazon Redshift?
What companies use Xplenty?

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What tools integrate with Amazon EMR?
What tools integrate with Amazon Redshift?
What tools integrate with Xplenty?

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What are some alternatives to Amazon EMR, Amazon Redshift, and Xplenty?
Amazon EC2
It is a web service that provides resizable compute capacity in the cloud. It is designed to make web-scale computing easier for developers.
Hadoop
The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
Amazon DynamoDB
With it , you can offload the administrative burden of operating and scaling a highly available distributed database cluster, while paying a low price for only what you use.
Azure HDInsight
It is a cloud-based service from Microsoft for big data analytics that helps organizations process large amounts of streaming or historical data.
Databricks
Databricks Unified Analytics Platform, from the original creators of Apache Spark™, unifies data science and engineering across the Machine Learning lifecycle from data preparation to experimentation and deployment of ML applications.
See all alternatives
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