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Apache Spark vs Apache Storm comparison

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Apache Spark

Read 60 Apache Spark reviews
3,093 views|2,345 comparisons
89% willing to recommend
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Apache Storm

363 views|303 comparisons
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Buyer's Guide
Compute Service
April 2024
Executive Summary

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

Find out what your peers are saying about Amazon Web Services (AWS), Apache, Zadara and others in Compute Service.
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Featured Review
Salvatore Campana
Reduces startup time and gives excellent ROI
Apache Spark helped us with horizontal scalability and cost optimizations.
Use Apache Storm?
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."

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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   →
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    Earn 20 points

    Ranking
    5th
    out of 16 in Compute Service
    Views
    3,093
    Comparisons
    2,345
    Reviews
    25
    Average Words per Review
    432
    Rating
    8.7
    14th
    out of 16 in Compute Service
    Views
    363
    Comparisons
    303
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Learn More
    Apache
    Apache
    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

    Apache Storm is a free and open source distributed realtime computation system. Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing. Storm is simple and can be used with any programming language.
    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
    Groupon, Spotify, The Weather Channel, Twitter, FullContact
    Top Industries
    REVIEWERS
    Computer Software Company30%
    Financial Services Firm15%
    University9%
    Marketing Services Firm6%
    VISITORS READING REVIEWS
    Financial Services Firm24%
    Computer Software Company13%
    Manufacturing Company7%
    Comms Service Provider6%
    VISITORS READING REVIEWS
    Financial Services Firm24%
    Computer Software Company17%
    University9%
    Retailer7%
    Company Size
    REVIEWERS
    Small Business40%
    Midsize Enterprise19%
    Large Enterprise40%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise12%
    Large Enterprise71%
    VISITORS READING REVIEWS
    Small Business13%
    Midsize Enterprise9%
    Large Enterprise78%
    Buyer's Guide
    Compute Service
    April 2024
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    Apache Spark is ranked 5th in Compute Service with 60 reviews while Apache Storm is ranked 14th in Compute Service. Apache Spark is rated 8.4, while Apache Storm 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 Apache Storm is most compared with Apache NiFi, Azure Stream Analytics and AWS Lambda.

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    We monitor all Compute Service 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.