Apache Spark vs IBM Streams comparison

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11,211 views|8,900 comparisons
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1,433 views|1,266 comparisons
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Executive Summary

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

Find out what your peers are saying about Apache, Cloudera, Amazon and others in Hadoop.
To learn more, read our detailed Hadoop Report (Updated: November 2022).
653,757 professionals have used our research since 2012.
Featured Review
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."
  • "Spark is an open-source solution, so there are no licensing costs."
  • "Apache Spark is open-source. You have to pay only when you use any bundled product, such as Cloudera."
  • More Apache Spark Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:I don't think using Apache Spark without Hadoop has any major drawbacks or issues. I have used Apache Spark quite successfully with AWS S3 on many projects which are batch based. Yes for very high… more »
    Top Answer:It's an open-source product. I don't know much about the licensing aspect.
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    Earn 20 points

    Ranking
    1st
    out of 22 in Hadoop
    Views
    11,211
    Comparisons
    8,900
    Reviews
    12
    Average Words per Review
    393
    Rating
    8.1
    16th
    out of 38 in Streaming Analytics
    Views
    1,433
    Comparisons
    1,266
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    IBM InfoSphere Streams
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    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

    IBM Streams is an advanced analytic platform that allows user-developed applications to quickly ingest, analyze and correlate information as it arrives from thousands of data stream sources. The solution can handle very high data throughput rates, up to millions of events or messages per second. Streams helps you analyze data in motion, simplify development of streaming applications, and extend the value of existing systems.
    Offer
    Learn more about Apache Spark
    Learn more about IBM Streams
    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
    Globo TV, All England Lawn Tennis Club, CenterPoint Energy, Consolidated Communications Holdings, Darwin Ecosystem, Emory University Hospital, ICICI Securities, Irish Centre for Fetal and Neonatal Translational Research (INFANT), Living Roads, Mobileum, Optibus, Southern Ontario Smart Computing Innovation Platform (SOSCIP), University of Alberta, University of Montana, University of Ontario Institute of Technology, Wimbledon 2015
    Top Industries
    REVIEWERS
    Computer Software Company29%
    Financial Services Firm29%
    Marketing Services Firm7%
    Non Profit7%
    VISITORS READING REVIEWS
    Financial Services Firm19%
    Computer Software Company17%
    Comms Service Provider12%
    Retailer6%
    VISITORS READING REVIEWS
    Computer Software Company19%
    Financial Services Firm17%
    Comms Service Provider11%
    Retailer7%
    Company Size
    REVIEWERS
    Small Business42%
    Midsize Enterprise23%
    Large Enterprise35%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise12%
    Large Enterprise73%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise11%
    Large Enterprise72%
    Buyer's Guide
    Hadoop
    November 2022
    Find out what your peers are saying about Apache, Cloudera, Amazon and others in Hadoop. Updated: November 2022.
    653,757 professionals have used our research since 2012.

    Apache Spark is ranked 1st in Hadoop with 12 reviews while IBM Streams is ranked 16th in Streaming Analytics. Apache Spark is rated 8.0, while IBM Streams 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, Azure Stream Analytics, AWS Batch, AWS Lambda and SAP HANA, whereas IBM Streams is most compared with Confluent, Apache NiFi, Google Cloud Dataflow, Amazon Kinesis and Dell Streaming Data Platform.

    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.