Amazon Kinesis vs. IBM Streams

As of May 2019, Amazon Kinesis is ranked 11th in Streaming Analytics vs IBM Streams which is ranked 1st in Streaming Analytics with 3 reviews. The top reviewer of IBM Streams writes "The product has enabled us to create solutions to client problems that would have either been impossible or very expensive/difficult using other technologies. ". Amazon Kinesis is most compared with Apache Flink, Google Cloud Dataflow and Apache Spark Streaming. IBM Streams is most compared with Apache Spark, Apache NiFi and Apache Storm.
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Amazon Kinesis Logo
290 views|283 comparisons
IBM Streams Logo
4,125 views|1,811 comparisons
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Ranking
11th
out of 24 in Streaming Analytics
Views
290
Comparisons
283
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
1st
out of 24 in Streaming Analytics
Views
4,125
Comparisons
1,811
Reviews
3
Average Words per Review
512
Avg. Rating
8.7
Top Comparisons
Compared 60% of the time.
Compared 41% of the time.
Compared 28% of the time.
Compared 9% of the time.
Also Known As
Amazon AWS Kinesis, AWS Kinesis, KinesisIBM InfoSphere Streams
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IBM
Overview

Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. Amazon Kinesis offers key capabilities to cost-effectively process streaming data at any scale, along with the flexibility to choose the tools that best suit the requirements of your application. With Amazon Kinesis, you can ingest real-time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications. Amazon Kinesis enables you to process and analyze data as it arrives and respond instantly instead of having to wait until all your data is collected before the processing can begin.

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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Learn more about IBM Streams
Sample Customers
Zillow, Netflix, SonosGlobo 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
We monitor all Streaming Analytics 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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