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Apache Spark vs Qubole Data Services comparison

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Apache Spark
Read 60 Apache Spark reviews
2,430 views|1,869 comparisons
89% willing to recommend
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Qubole Data Services
72 views|60 comparisons
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Buyer's Guide
Hadoop
April 2024
Executive Summary

We performed a comparison between Apache Spark and Qubole Data Services based on real PeerSpot user reviews.

Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop.
To learn more, read our detailed Hadoop Report (Updated: April 2024).
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Featured Review
Vineeth Marar
Offers seamless integration with Azure services and on-premises servers
We've set up a Spark cluster running in Azure to process real-time data. This setup involves connecting Azure applications to the Spark cluster via... 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:
Pricing and Cost Advice
  • "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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    Questions from the Community
    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   →
    Ask a question

    Earn 20 points

    Ranking
    1st
    out of 22 in Hadoop
    Views
    2,430
    Comparisons
    1,869
    Reviews
    26
    Average Words per Review
    444
    Rating
    8.7
    15th
    out of 22 in Hadoop
    Views
    72
    Comparisons
    60
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    QDS
    Learn More
    Apache
    Qubole
    Overview

    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

    A self-managing and self-optimizing data platform. Constantly analyzes and learns about your big data platform’s usage through combination of heuristics and machine learning.

    Provides actionable Alerts, Insights and Recommendations (AIR) to optimize reliability, performance and costs.

    Automatically enacts policies through a number of Cloud Agents to eliminate the need for repetitive manual actions

    Sample Customers
    NASA JPL, UC Berkeley AMPLab, Amazon, eBay, Yahoo!, UC Santa Cruz, TripAdvisor, Taboola, Agile Lab, Art.com, Baidu, Alibaba Taobao, EURECOM, Hitachi Solutions
    Ola Cabs, GetSmart, AdIQuity, Glossom, Station X, Indix, TA telecom, bloomreach, Universal Music Group, Videoplaza, Sokrati, Flipboard, DEMAND BASE, Black Book, ImplementHIT, Answers.com, DataXu, DataLogix, Under Armour Connected Fitness, Quantdeck, Capillary, PubMatic, YouGov, Quora, Insightera, Komli Media, Pinterest, MediaMath, yieldr, TubeMogul, Saavn, Merkle, Nextdoor
    Top Industries
    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%
    No Data Available
    Company Size
    REVIEWERS
    Small Business40%
    Midsize Enterprise18%
    Large Enterprise42%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise12%
    Large Enterprise71%
    No Data Available
    Buyer's Guide
    Hadoop
    April 2024
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    Apache Spark is ranked 1st in Hadoop with 60 reviews while Qubole Data Services is ranked 15th in Hadoop. Apache Spark is rated 8.4, while Qubole Data Services is rated 0.0. The top reviewer of Apache Spark writes "Reliable, able to expand, and handle large amounts of data well". On the other hand, Apache Spark is most compared with Spring Boot, AWS Batch, Spark SQL, SAP HANA and Cloudera Distribution for Hadoop, whereas Qubole Data Services is most compared with .

    See our list of best Hadoop vendors.

    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.