# The Kinesis family Cheat Sheet



![1.png](https://cdn.hashnode.com/res/hashnode/image/upload/v1610117948227/m0K0Qp21A.png)
I recently reviewed my classics about AWS Kinesis services and I wanted to share this digest with you.
So, no more boring introduction stuff, let's start!

## Kinesis Data Stream

### 🛠 Workflow:
* Producer (Kinesis Producer Library, API via SDK)
* Kinesis Data Stream
* Consumer (EC2, Lambda, EMR, Kinesis Data Analytics)
* Storage/Analysation (S3, DynamoDB, Redshift, BI Tools…)

### 💡 Benefits
* Data retention
* Real-time

### 🧪 Use cases
* Analyze logs in real-time
* Transform real-time streaming data and fed it to a custom ML application

## Kinesis Data Firehose

### 🛠 Workflow
* Producer
* Kinesis Data Firehose
* Processing tool (optional: Lambda)
* Storage (S3, Redshift…)
* Additional steps (send on event from S3 to DynamoDB table)

### 💡 Benefits
* Collect streaming data and send to data store

### 🧪 Use cases
* Delivery service for streaming data
* Apache logs from EC2 instance to S3 or Redshift
* Streaming data from IoT devices to data lake

## Kinesis Video Stream

### 🛠 Workflow

* Producer
* Kinesis Video Stream
* Consumer (EC2 continuous/Batch consumer program)
* Storage (S3…) or other service

### 💡 Benefits
* Real-time streaming of video data (images, audio, radar…)
* Batch process and store streaming video data
* Feed video data to other AWS services

### 🧪 Use cases
* Stream event video coverage to customers
* Ingest data for ML applications

## Kinesis Data Analytics

### 🛠 Workflow

* Input (Kinesis Data Stream, Kinesis Data Firehose)
* Kinesis Data Analytics
* Storage (S3, Redshift…) / Visual tools (Quicksight, ELK…)

### 💡 Benefits
* Run SQL queries on streaming data and output to S3
* Create dashboards
* Metrics
* Alarms

### 🧪 Use cases
* Query real-time data
* Enrich data for ETL jobs
* Responsive real-time analytics
* Metric graphs

### Conclusion
AWS Kinesis services can be confusing at the beginning but I hope this cheat sheet is going to help you understand and memorize to make the best out of these services.


_Don’t forget to react and to share this article if you liked it! Feel free to reach me on_ [_Twitter (@FlolightC)_](https://twitter.com/FlolightC) _to tell me about your Kinesis use case or to ask me questions ! I’m always happy to discuss with you !_