Compare Amazon EMR vs. Spark SQL

Amazon EMR is ranked 4th in Hadoop with 1 review while Spark SQL which is ranked 12th in Hadoop with 1 review. Amazon EMR is rated 9.0, while Spark SQL is rated 9.0. The top reviewer of Amazon EMR writes "Ability to easily and quickly resize the cluster is what really makes it stand out". On the other hand, the top reviewer of Spark SQL writes "A good stable and scalable solution for processing big data". Amazon EMR is most compared with Hortonworks Data Platform, Cloudera Distribution for Hadoop and Apache Spark, whereas Spark SQL is most compared with Apache Spark, AtScale and Informatica Big Data Parser.

Amazon EMR

Spark SQL

Amazon EMR

Read 1 Amazon EMR review.

5,090 views|2,361 comparisons

Spark SQL

Read 1 Spark SQL review.

808 views|520 comparisons

Most Helpful Review

Matthew Cloney

Data Science Engineer

Ability to easily and quickly resize the cluster is what really makes it stand out

Well, I've been at two different companies and mostly I'll relate to my experience at HLI, Human Longevity, in San Diego. We used it for genomics.... Read more »

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Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
The ability to resize the cluster is what really makes it stand out over other Hadoop and big data solutions. Read more »	The stability was fine. It behaved as expected. Read more »
Cons
There were times where they would release new versions and it seemed to end up breaking old versions, which is very strange. Read more »	In the next release, maybe the visualization of some command-line features could be added. Read more »

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Ranking
4th out of 24 in Hadoop Views 5,090 Comparisons 2,361 Reviews 1 Average Words per Review 1,386 Avg. Rating 9.0	12th out of 24 in Hadoop Views 808 Comparisons 520 Reviews 0 Average Words per Review 0 Avg. Rating N/A
Top Comparisons
Hortonworks Data Platform vs. Amazon EMR Compared 42% of the time. Cloudera Distribution for Hadoop vs. Amazon EMR Compared 27% of the time. Apache Spark vs. Amazon EMR Compared 11% of the time. See more Amazon EMR competitors » + Add more products to compare	Apache Spark vs. Spark SQL Compared 23% of the time. AtScale vs. Spark SQL Compared 20% of the time. Informatica Big Data Parser vs. Spark SQL Compared 17% of the time. See more Spark SQL competitors » + Add more products to compare
Also Known As
Amazon Elastic MapReduce
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Amazon	Apache
Overview
Amazon Elastic MapReduce (Amazon EMR) is a web service that makes it easy to quickly and cost-effectively process vast amounts of data. Amazon EMR simplifies big data processing, providing a managed Hadoop framework that makes it easy, fast, and cost-effective for you to distribute and process vast amounts of your data across dynamically scalable Amazon EC2 instances.	Spark SQL is a Spark module for structured data processing. Unlike the basic Spark RDD API, the interfaces provided by Spark SQL provide Spark with more information about the structure of both the data and the computation being performed. There are several ways to interact with Spark SQL including SQL and the Dataset API. When computing a result the same execution engine is used, independent of which API/language you are using to express the computation. This unification means that developers can easily switch back and forth between different APIs based on which provides the most natural way to express a given transformation.
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Sample Customers
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