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Amazon Corretto vs Apache Spark comparison

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Amazon Web Services (AWS) Logo
Amazon Corretto
1,329 views|1,195 comparisons
Apache Logo
Apache Spark
Read 60 Apache Spark reviews
4,165 views|3,240 comparisons
89% willing to recommend
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Buyer's Guide
Java Frameworks
April 2024
Executive Summary

We performed a comparison between Amazon Corretto and Apache Spark based on real PeerSpot user reviews.

Find out what your peers are saying about VMware, Apache, Eclipse Foundation and others in Java Frameworks.
To learn more, read our detailed Java Frameworks Report (Updated: April 2024).
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771,157 professionals have used our research since 2012.
Featured Review
Use Amazon Corretto?
Salvatore Campana
Reduces startup time and gives excellent ROI
Apache Spark helped us with horizontal scalability and cost optimizations.
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
  • "Since we are using the Apache Spark version, not the data bricks version, it is an Apache license version, the support and resolution of the bug are actually late or delayed. The Apache license is free."
  • "Apache Spark is open-source. You have to pay only when you use any bundled product, such as Cloudera."
  • "We are using the free version of the solution."
  • "Apache Spark is not too cheap. You have to pay for hardware and Cloudera licenses. Of course, there is a solution with open source without Cloudera."
  • "Apache Spark is an expensive solution."
  • "Spark is an open-source solution, so there are no licensing costs."
  • "On the cloud model can be expensive as it requires substantial resources for implementation, covering on-premises hardware, memory, and licensing."
  • "It is an open-source solution, it is free of charge."

    • More Apache Spark Pricing and Cost Advice →

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    What do you like most about Apache Spark?
    Top Answer:We use Spark to process data from different data sources.
    Read all 30 answers   →
    What is your experience regarding pricing and costs for Apache Spark?
    Top Answer:The solution is moderately priced.
    Read all 19 answers   →
    What needs improvement with Apache Spark?
    Top Answer:In data analysis, you need to take real-time data from different data sources. You need to process this in a subsecond, and do the transformation in a subsecond
    Read all 32 answers   →
    Ranking
    10th
    out of 12 in Java Frameworks
    Views
    1,329
    Comparisons
    1,195
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    2nd
    out of 12 in Java Frameworks
    Views
    4,165
    Comparisons
    3,240
    Reviews
    26
    Average Words per Review
    444
    Rating
    8.7
    Comparisons
    Learn More
    Amazon Web Services (AWS)
    Apache
    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

    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 Company15%
    Financial Services Firm12%
    Manufacturing Company9%
    Insurance Company6%
    REVIEWERS
    Computer Software Company30%
    Financial Services Firm15%
    University9%
    Marketing Services Firm6%
    VISITORS READING REVIEWS
    Financial Services Firm25%
    Computer Software Company13%
    Manufacturing Company7%
    Comms Service Provider6%
    Company Size
    VISITORS READING REVIEWS
    Small Business22%
    Midsize Enterprise12%
    Large Enterprise66%
    REVIEWERS
    Small Business40%
    Midsize Enterprise18%
    Large Enterprise42%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise12%
    Large Enterprise71%
    Buyer's Guide
    Java Frameworks
    April 2024
    Download Free Report
    Find out what your peers are saying about VMware, Apache, Eclipse Foundation and others in Java Frameworks. Updated: April 2024.
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    771,157 professionals have used our research since 2012.

    Amazon Corretto is ranked 10th in Java Frameworks while Apache Spark is ranked 2nd in Java Frameworks with 60 reviews. Amazon Corretto is rated 0.0, while Apache Spark is rated 8.4. On the other hand, the top reviewer of Apache Spark writes "Reliable, able to expand, and handle large amounts of data well". Amazon Corretto is most compared with Jakarta EE, Spring Boot, Eclipse MicroProfile, Open Liberty and npm, whereas Apache Spark is most compared with Spring Boot, AWS Batch, Spark SQL, SAP HANA and Informatica Big Data Parser.

    See our list of best Java Frameworks vendors.

    We monitor all Java Frameworks 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.