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Amazon Kinesis

Amazon Kinesis

Overview

What is Amazon Kinesis?

Amazon Kinesis is a streaming analytics suite for data intake from video or other disparate sources and applying analytics for machine learning (ML) and business intelligence.

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Recent Reviews
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Pricing

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Amazon Kinesis Video Streams

$0.00850

Cloud
per GB data ingested / consumed

Amazon Kinesis Data Streams

$0.04

Cloud
per hour per stream

Amazon Kinesis Data Analytics

$0.11

Cloud
per hour

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services
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Product Details

What is Amazon Kinesis?

Amazon Kinesis Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo
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Comparisons

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Reviews and Ratings

(24)

Attribute Ratings

Reviews

(1-2 of 2)
Companies can't remove reviews or game the system. Here's why
September 01, 2020

Amazon Kinesis Review

FC
Francisco Javier Castañeda Marroquín
CEO (Chief Executive Officer)
Global Bestlogistics Systems S.A. de C.V. (Information Technology & Services, 1-10 employees)
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Use Cases and Deployment Scope
We used Kinesis as the basis for information distribution for a mission-critical business operation. We expected a huge amount of mini events reporting information between a Iot of devices, databases, geo info systems, and web sites, as well as reporting (business intelligence). Kinesis was used as the messaging pipeline (nowadays streaming) that glued everything together.

Pros and Cons
  • Integrating with other Amazon services
  • Scaling requests
  • Totally serverless platform
  • Simple management
  • Extended fan-out is complicated to manage.
  • Documentation is confusing.
  • VPC integration
Likelihood to Recommend
Amazon Kinesis is a great replacement for Kafka and it works better whenever the components of the solution are AWS based. Best if extended fan-out is not required, but still price-performance ratio is very good for simplifying maintenance.

I would go with a different option if the systems to be connected are legacy, for instance in the case of traditional messaging clients.
Amazon Kinesis Feature Ratings
Streaming Analytics (9)
42.22222222222222%
4.2
Real-Time Data Analysis
N/A
N/A
Visualization Dashboards
N/A
N/A
Data Ingestion from Multiple Data Sources
90%
9.0
Low Latency
90%
9.0
Integrated Development Tools
90%
9.0
Data wrangling and preparation
N/A
N/A
Linear Scale-Out
60%
6.0
Machine Learning Automation
N/A
N/A
Data Enrichment
50%
5.0
Return on Investment
  • Lower the cost of implementation.
  • Good scaling up
  • Simple integration, especially with Lambda
Alternatives Considered
Kinesis is oriented to streaming in a scalable way large volumes of information in real-time. Glue is more an ETL so it is not well suited for real-time applications while Beanstalk is more a simple container platform. Lambda could do the job but it would require a lot of programming to accomplish the same as Kinesis. In fact, our solution employed the four elements for different tasks but using Kinesis as the message bus.
Support Rating
7
The documentation was confusing and lacked examples. The streams suddenly stopped working with no explanation and there was no information in the logs. All these were more difficult when dealing with enhanced fan-out. In fact, we were about to abort the usage of Kinesis due to a misunderstanding with enhanced fan-out.
Other Software Used
October 16, 2019

Using Kinesis to stream billions of messages in a day, over millions of connected devices on the field

Verified User
Executive in Information Technology
Consumer Goods Company, 10,001+ employees
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Use Cases and Deployment Scope
Amazon Kinesis is being used to stream telemetry data from millions of connected devices on the field - helping to drive command and control use cases and also sensor data for performance monitoring. Our volume is billions of messages per day, real-time, with aggressive requirements on response and processing time. All messages are stored in a big data structure and also two-way communication with a mobile app.
Pros and Cons
  • Processing huge loads of data
  • Integrating well with IoT Platform on Amazon
  • Integration with overall AWS Ecosystem
  • Scalability
  • Improve integration with AWS Lambda
  • Some duplicate records coming from the stream
Likelihood to Recommend
Perfect for real-time data processing and streaming. Also, there's no need for any specific setup - you just start using it immediately and it easily integrates with the rest of AWS capabilities (like Redshift), although integration with Lambda could be better. You can make your overall analytics landscape way simpler with Kineses even if you have non-Amazon solutions like Tableau. It all integrates really well!
Amazon Kinesis Feature Ratings
Streaming Analytics (6)
100%
10.0
Real-Time Data Analysis
100%
10.0
Data Ingestion from Multiple Data Sources
100%
10.0
Low Latency
100%
10.0
Integrated Development Tools
100%
10.0
Data wrangling and preparation
100%
10.0
Linear Scale-Out
100%
10.0
Return on Investment
  • Significantly reduced the cost of our IoT platform, compared to other Cloud providers.
  • Better user experience.
  • Enabled real "real-time analytics."
Alternatives Considered
The main benefit was around set up - incredibly easy to just start using Kinesis. Kinesis is a real-time data processing platform, while Kafka is more of a message queue system. If you only need a message queue from a limited source, Kafka may do the job. More complex use cases, with low latency, higher volume of data, real time decisions and integration with multiple sources and destination at a decent price, Kinesis is better.
Support Rating
10
When needed, Amazon engineers are accessible and provide a fast response. Documentation is good and has been improving a lot over the past couple of years.
Other Software Used
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