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Amazon Kinesis
Based on GetApp‘s extensive, proprietary database of in-depth, verified user reviews
Real-time data analysis solution for streaming data
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Amazon Kinesis - 2026 Pricing, Features, Reviews & Alternatives


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Amazon Kinesis overview
What is Amazon Kinesis?
Amazon Kinesis is a data analysis solution that helps businesses collect, process, and analyze real-time, streaming data and generate insights into customer behavior from within a unified platform. It enables team members to process streaming data at any scale, whilst choosing the tools that best suit the requirements of the application.
With the Data Firehose tool, staff members can handle business intelligence processes by capturing, transforming, and loading data streams into AWS stores and generating real-time analytics. It also lets users handle syntax highlighting, manage validations, and access context-sensitive suggestions to process data using SQL, Scala, or Python.
Starting price
Alternatives
with better value for money
Amazon Kinesis’s user interface
Amazon Kinesis reviews
Overall rating
4.8
/5
6
Positive reviews
100
%
- Value for money
- Ease of use
- Features
- Customer support
- Likelihood to recommend8.67/10
5
4
3
2
1
5
1
0
0
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Amazon Kinesis's key features
Most critical features, based on insights from Amazon Kinesis users:
All Amazon Kinesis features
Features rating:
Amazon Kinesis alternatives
Amazon Kinesis integrations (20)
Amazon Kinesis support options
Typical customers
Platforms supported
Support options
Training options
Amazon Kinesis FAQs
Amazon Kinesis has the following typical customers:
Freelancers, Large Enterprises, Mid Size Business, Small Business
These products have better value for money
Q. What languages does Amazon Kinesis support?
Amazon Kinesis supports the following languages:
English
Q. Does Amazon Kinesis offer an API?
Yes, Amazon Kinesis has an API available for use.
Q. What level of support does Amazon Kinesis offer?
Amazon Kinesis offers the following support options:
Email/Help Desk, FAQs/Forum, Knowledge Base























