Using Kinesis to stream billions of messages in a day, over millions of connected devices on the field
October 16, 2019
Using Kinesis to stream billions of messages in a day, over millions of connected devices on the field
Score 10 out of 10
Vetted Review
Verified User
Overall Satisfaction with Amazon Kinesis
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.
- 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
- Significantly reduced the cost of our IoT platform, compared to other Cloud providers.
- Better user experience.
- Enabled real "real-time analytics."
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.
Do you think Amazon Kinesis delivers good value for the price?
Yes
Are you happy with Amazon Kinesis's feature set?
Yes
Did Amazon Kinesis live up to sales and marketing promises?
Yes
Did implementation of Amazon Kinesis go as expected?
Yes
Would you buy Amazon Kinesis again?
Yes