#1 most frequent
United States of America
58.0%4,226 installations of 7,291
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.
Categories & Use Cases
Top Performing Features
Real-Time Data Analysis
Ability to analyze data in motion
Category average: 8.5
Data wrangling and preparation
Tools to rapidly prepare data for analysis by normalization, data cleansing, etc.
Category average: 7.8
Data Ingestion from Multiple Data Sources
Ability to ingest data from many sources including Internet of Things (IoT) endpoint data, stock trading data etc, as well as static data
Category average: 8.7
Areas for Improvement
Integrated Development Tools
Tools to allow developers to rapidly create streaming applications via a graphical user interface and selection of predefined functions and operators
Category average: 7.5
Linear Scale-Out
Easy to scale out or scale down by visually changing the resource allocation. This allows changes in load or traffic to be handled without interruptions
Category average: 7.5
Data Enrichment
Ability to enrich the data stream with static reference data
Category average: 7.7
Who Buys & Uses Amazon Kinesis
#2 most frequent
India
6.9%501 installations of 7,291
#3 most frequent
United Kingdom of Great Britain and Northern Ireland
6.1%447 installations of 7,291
Amazon Kinesis Review
Pros
- Integrating with other Amazon services
- Scaling requests
- Totally serverless platform
- Simple management
Cons
- Extended fan-out is complicated to manage.
- Documentation is confusing.
- VPC integration
Return on Investment
- Lower the cost of implementation.
- Good scaling up
- Simple integration, especially with Lambda
Alternatives Considered
AWS Lambda, AWS Elastic Beanstalk and AWS Glue
Other Software Used
AWS Elastic Beanstalk, AWS Lambda, AWS Glue
Using Kinesis to stream billions of messages in a day, over millions of connected devices on the field
Pros
- Processing huge loads of data
- Integrating well with IoT Platform on Amazon
- Integration with overall AWS Ecosystem
- Scalability
Cons
- Improve integration with AWS Lambda
- Some duplicate records coming from the stream
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
Apache Kafka
Other Software Used
Tableau Server, Amazon Redshift, Apache Spark
Don't confuse Kinesis with a Queue system.
Pros
- Link DynamoDB change events directly to Lambda
- Fast streaming of events
- Easy to "tail" changes/latest events
Cons
- Not a queue system, so little visibility into "backlog" if there is any
- Confusing terminology to make sure events aren't missed
- Sometimes didn't seem to trigger Lambda functions, or dropped events when a lot came in
Return on Investment
- Caused us to need to re-engineer some basic re-try logic
- Caused us to drop some content without knowing it
- Made monitoring much more difficult
- We eventually switched back to SQS because Kinesis is not the same as a Queue system
Alternatives Considered
Amazon Simple Queue Service (SQS)
Other Software Used
Amazon Simple Queue Service (SQS), Amazon DynamoDB, AWS Lambda, Amazon API Gateway