Compare Amazon Corretto vs. Apache Spark

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Amazon Corretto Logo
547 views|494 comparisons
Apache Spark Logo
10,898 views|8,755 comparisons
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Find out what your peers are saying about Amazon Corretto vs. Apache Spark and other solutions. Updated: May 2021.
511,607 professionals have used our research since 2012.
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"Apache Spark is open-source. You have to pay only when you use any bundled product, such as Cloudera."

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Top Answer: I like that it can handle multiple tasks parallelly. I also like the automation feature. JavaScript also helps with the parallel streaming of the library.
Top Answer: Apache Spark is open-source. You have to pay only when you use any bundled product, such as Cloudera.
Top Answer: The logging for the observability platform could be better.
Ranking
10th
out of 11 in Java Frameworks
Views
547
Comparisons
494
Reviews
0
Average Words per Review
0
Rating
N/A
1st
out of 11 in Java Frameworks
Views
10,898
Comparisons
8,755
Reviews
12
Average Words per Review
441
Rating
8.6
Popular Comparisons
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Overview

Amazon Corretto is a no-cost, multiplatform, production-ready distribution of the Open Java Development Kit (OpenJDK).

Amazon Corretto comes with long-term support that will include performance enhancements and security fixes. Amazon runs Corretto internally on thousands of production services and Corretto is certified as compatible with the Java SE standard. With Corretto, you can develop and run Java applications on popular operating systems including Amazon Linux 2, Windows, and macOS.

Amazon Corretto is available for download and use at no cost. There are no additional paid features or restrictions. Amazon plans to release quarterly updates that include performance enhancements and bug fixes critical for enterprise application development.

Spark provides programmers with an application programming interface centered on a data structure called the resilient distributed dataset (RDD), a read-only multiset of data items distributed over a cluster of machines, that is maintained in a fault-tolerant way. It was developed in response to limitations in the MapReduce cluster computing paradigm, which forces a particular linear dataflowstructure on distributed programs: MapReduce programs read input data from disk, map a function across the data, reduce the results of the map, and store reduction results on disk. Spark's RDDs function as a working set for distributed programs that offers a (deliberately) restricted form of distributed shared memory

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Sample Customers
Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
NASA JPL, UC Berkeley AMPLab, Amazon, eBay, Yahoo!, UC Santa Cruz, TripAdvisor, Taboola, Agile Lab, Art.com, Baidu, Alibaba Taobao, EURECOM, Hitachi Solutions
Top Industries
VISITORS READING REVIEWS
Computer Software Company27%
Comms Service Provider21%
Media Company12%
Financial Services Firm8%
REVIEWERS
Financial Services Firm40%
Computer Software Company20%
Marketing Services Firm10%
Non Profit10%
VISITORS READING REVIEWS
Computer Software Company23%
Comms Service Provider19%
Financial Services Firm11%
Media Company9%
Company Size
No Data Available
REVIEWERS
Small Business36%
Midsize Enterprise21%
Large Enterprise42%
Find out what your peers are saying about Amazon Corretto vs. Apache Spark and other solutions. Updated: May 2021.
511,607 professionals have used our research since 2012.

Amazon Corretto is ranked 10th in Java Frameworks while Apache Spark is ranked 1st in Java Frameworks with 12 reviews. Amazon Corretto is rated 0.0, while Apache Spark is rated 8.6. On the other hand, the top reviewer of Apache Spark writes "Good Streaming features enable to enter data and analysis within Spark Stream". Amazon Corretto is most compared with Spring Boot, Eclipse MicroProfile, Jakarta EE and Spring MVC, whereas Apache Spark is most compared with Spring Boot, Azure Stream Analytics, AWS Batch, SAP HANA and AWS Lambda.

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