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Amazon Corretto vs Apache Spark comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Amazon Corretto
Ranking in Java Frameworks
10th
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
No ranking in other categories
Apache Spark
Ranking in Java Frameworks
2nd
Average Rating
8.4
Number of Reviews
64
Ranking in other categories
Hadoop (1st), Compute Service (4th)
 

Mindshare comparison

As of November 2024, in the Java Frameworks category, the mindshare of Amazon Corretto is 2.7%, down from 2.9% compared to the previous year. The mindshare of Apache Spark is 6.7%, down from 7.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Java Frameworks
 

Featured Reviews

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SurjitChoudhury - PeerSpot reviewer
Feb 20, 2024
Offers batch processing of data and in-memory processing in Spark greatly enhances performance
Spark supports real-time data processing through Spark Streaming. It allows for batch processing of data. If you have immediate data, like chat information, that needs to be processed in real-time, Spark Streaming is used. For data that can be evaluated later, batch processing with Apache Spark is suitable. Mostly, batch processing is utilized in our organization, but for streaming data processing, tools like Kafka are often integrated. In-memory processing in Spark greatly enhances performance, making it a hundred times faster than the previous MapReduce methods. This improvement is achieved through optimization techniques like caching, broadcasting, and partitioning, which help in optimizing queries for faster processing.

Quotes from Members

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

Pricing and Cost Advice

Information not available
"We are using the free version of the solution."
"The tool is an open-source product. If you're using the open-source Apache Spark, no fees are involved at any time. Charges only come into play when using it with other services like Databricks."
"It is an open-source solution, it is free of charge."
"I did not pay anything when using the tool on cloud services, but I had to pay on the compute side. The tool is not expensive compared with the benefits it offers. I rate the price as an eight out of ten."
"The solution is affordable and there are no additional licensing costs."
"Apache Spark is an open-source solution, and there is no cost involved in deploying the solution on-premises."
"Spark is an open-source solution, so there are no licensing costs."
"Considering the product version used in my company, I feel that the tool is not costly since the product is available for free."
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
12%
Manufacturing Company
11%
Insurance Company
6%
Financial Services Firm
26%
Computer Software Company
13%
Manufacturing Company
8%
Educational Organization
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

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What do you like most about Apache Spark?
We use Spark to process data from different data sources.
What is your experience regarding pricing and costs for Apache Spark?
Compared to other solutions like Doc DB, Spark is more costly due to the need for extensive infrastructure. It requires significant investment in infrastructure, which can be expensive. While cloud...
What needs improvement with Apache Spark?
The main concern is the overhead of Java when distributed processing is not necessary. In such cases, operations can often be done on one node, making Spark's distributed mode unnecessary. Conseque...
 

Overview

 

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
Find out what your peers are saying about VMware, Apache, Eclipse Foundation and others in Java Frameworks. Updated: October 2024.
814,649 professionals have used our research since 2012.