Compare Amazon Kinesis vs. IBM Streams

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Amazon Kinesis Logo
6,014 views|5,249 comparisons
IBM Streams Logo
2,286 views|2,032 comparisons
Most Helpful Review
Find out what your peers are saying about Databricks, Solace, Amazon and others in Streaming Analytics. Updated: June 2021.
522,693 professionals have used our research since 2012.
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Questions from the Community
Top Answer: The feature that I've found most valuable is the replay. That is one of the most valuable in our business. We are business-to-business so replay was an important feature - being able to replay for 24… more »
Top Answer: I think there is a paid version only, there is no free version. I think it is possibly on the expensive side. I did not go too deep into pricing, because our business did not care about pricing that… more »
Top Answer: In general, the pain point for us was that once the data gets into Kinesis there is no way for us to understand what's happening because Kinesis divides everything into shards. So if we wanted to… more »
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Ranking
3rd
out of 35 in Streaming Analytics
Views
6,014
Comparisons
5,249
Reviews
9
Average Words per Review
1,229
Rating
8.4
12th
out of 35 in Streaming Analytics
Views
2,286
Comparisons
2,032
Reviews
0
Average Words per Review
0
Rating
N/A
Popular Comparisons
Also Known As
Amazon AWS Kinesis, AWS Kinesis, Kinesis
IBM InfoSphere Streams
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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.
Offer
Learn more about Amazon Kinesis
Learn more about IBM Streams
Sample Customers
Zillow, Netflix, Sonos
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
VISITORS READING REVIEWS
Computer Software Company25%
Media Company22%
Comms Service Provider17%
Financial Services Firm8%
VISITORS READING REVIEWS
Computer Software Company28%
Comms Service Provider14%
Financial Services Firm13%
Retailer6%
Company Size
REVIEWERS
Small Business43%
Midsize Enterprise43%
Large Enterprise14%
No Data Available
Find out what your peers are saying about Databricks, Solace, Amazon and others in Streaming Analytics. Updated: June 2021.
522,693 professionals have used our research since 2012.

Amazon Kinesis is ranked 3rd in Streaming Analytics with 9 reviews while IBM Streams is ranked 12th in Streaming Analytics. Amazon Kinesis is rated 8.4, while IBM Streams is rated 0.0. The top reviewer of Amazon Kinesis writes "Easily replay your streaming data with this reliable solution". On the other hand, Amazon Kinesis is most compared with Apache Flink, Apache Spark Streaming, Amazon MSK, Google Cloud Dataflow and PubSub+ Event Broker, whereas IBM Streams is most compared with Confluent, Apache NiFi, Google Cloud Dataflow, Azure Stream Analytics and Apache Flink.

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