Amazon Kinesis is a platform provided by Amazon Web Services (AWS) designed for the real-time processing of streaming data. It enables developers to easily collect, process, and analyze large volumes of data in real time from numerous sources such as applications, IoT devices, and clickstreams.
History and Evolution
Core Components
- Kinesis Streams: Allows for the ingestion of data at massive scale with low latency, enabling real-time analytics and processing. Data records are stored for up to 7 days, and applications can consume these records in real time.
- Kinesis Firehose: Designed to capture, transform, and load streaming data into AWS data stores. It simplifies the process of batching, compressing, and encrypting data before ingestion.
- Kinesis Analytics: Provides the ability to analyze streaming data with SQL or Java applications, allowing for real-time analytics without having to manage servers or storage.
- Kinesis Video Streams: Focuses on video data, enabling developers to stream video from connected devices in real time, with capabilities for video storage, playback, and machine learning integration.
Use Cases
- Real-time analytics for applications like IoT sensor data processing, fraud detection, social media analytics, and log analytics.
- Streaming ETL (Extract, Transform, Load) processes.
- Video analytics and machine learning on video streams.
Benefits
- Scalability: Automatically scales to match the volume of your data streams.
- Real-time: Offers low latency data ingestion and processing.
- Integration: Seamlessly integrates with other AWS services.
- Security: Data is encrypted in transit and at rest, with AWS IAM for access control.
External Links
Related Topics