Compare Amazon EMR vs. Spark SQL

Amazon EMR is ranked 8th in Hadoop while Spark SQL is ranked 7th in Hadoop with 1 review. Amazon EMR is rated 0, while Spark SQL is rated 8.0. 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, Informatica Big Data Parser and AtScale.
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Amazon EMR Logo
2,946 views|2,422 comparisons
Spark SQL Logo
645 views|511 comparisons
Find out what your peers are saying about Apache, Cloudera, Hortonworks and others in Hadoop. Updated: September 2019.
372,906 professionals have used our research since 2012.
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372,906 professionals have used our research since 2012.
Ranking
8th
out of 24 in Hadoop
Views
2,946
Comparisons
2,422
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
7th
out of 24 in Hadoop
Views
645
Comparisons
511
Reviews
1
Average Words per Review
226
Avg. Rating
8.0
Top Comparisons
Compared 16% of the time.
Compared 27% of the time.
Compared 16% of the time.
Also Known As
Amazon Elastic MapReduce
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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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Find out what your peers are saying about Apache, Cloudera, Hortonworks and others in Hadoop. Updated: September 2019.
372,906 professionals have used our research since 2012.
We monitor all Hadoop reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
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