Compare Apache Spark Streaming vs. IBM Streams

Apache Spark Streaming is ranked 11th in Streaming Analytics while IBM Streams is ranked 5th in Streaming Analytics. Apache Spark Streaming is rated 0, while IBM Streams is rated 0. On the other hand, Apache Spark Streaming is most compared with Amazon Kinesis, Software AG Apama and Azure Stream Analytics, whereas IBM Streams is most compared with Apache Spark, Apache NiFi and Apache Storm.
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Apache Spark Streaming Logo
357 views|334 comparisons
IBM Streams Logo
2,484 views|1,832 comparisons
Ranking
11th
out of 25 in Streaming Analytics
Views
357
Comparisons
334
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
5th
out of 25 in Streaming Analytics
Views
2,484
Comparisons
1,832
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Top Comparisons
Compared 29% of the time.
Compared 26% of the time.
Compared 9% of the time.
Also Known As
Spark StreamingIBM InfoSphere Streams
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Apache
IBM
Overview

Spark Streaming makes it easy to build scalable fault-tolerant streaming applications.

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
Information Not Available
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
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