Compare Apache Spark vs. IBM Streams

Apache Spark is ranked 1st in Hadoop with 9 reviews while IBM Streams is ranked 5th in Streaming Analytics. Apache Spark is rated 8.0, while IBM Streams is rated 0. The top reviewer of Apache Spark writes "Fast performance and has an easy initial setup". On the other hand, Apache Spark is most compared with Spring Boot, AWS Lambda and Azure Stream Analytics, whereas IBM Streams is most compared with Apache Spark, Apache NiFi and Apache Storm.
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Apache Spark Logo
11,326 views|9,310 comparisons
IBM Streams Logo
2,523 views|1,859 comparisons
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Ranking
1st
out of 24 in Hadoop
Views
11,326
Comparisons
9,310
Reviews
9
Average Words per Review
184
Avg. Rating
8.0
5th
out of 25 in Streaming Analytics
Views
2,523
Comparisons
1,859
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Top Comparisons
Compared 29% of the time.
Compared 12% of the time.
Compared 30% of the time.
Compared 27% of the time.
Compared 9% of the time.
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.
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Sample Customers
NASA JPL, UC Berkeley AMPLab, Amazon, eBay, Yahoo!, UC Santa Cruz, TripAdvisor, Taboola, Agile Lab, Art.com, Baidu, Alibaba Taobao, EURECOM, Hitachi SolutionsGlobo 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
Software R&D Company29%
Financial Services Firm29%
Non Profit14%
Marketing Services Firm14%
VISITORS READING REVIEWS
Software R&D Company23%
Comms Service Provider14%
Financial Services Firm12%
Media Company8%
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Find out what your peers are saying about Apache, Cloudera, Hortonworks and others in Hadoop. Updated: August 2019.
366,593 professionals have used our research since 2012.
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.
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