Overview
Kinesis Data Streams Source Connector
The Kinesis Data Streams Source Connector allows you to stream real-time data from Amazon Kinesis directly into GlassFlow for processing and transformation.
This connector supports continuous, low-latency data processing, capturing events and real-time data from Kinesis streams for integration into your data workflows.
Key Features
- Real-Time Data Capture: Stream data from Kinesis in real time, capturing events as they occur for immediate processing.
- Scalable Streaming: Handle large volumes of data from Kinesis streams with low latency, ensuring your data pipelines remain efficient.
- Effortless Integration: Easily integrate Kinesis Data Streams into GlassFlow for further processing, analytics, or transformation.
- Customizable Data Processing: Filter, enrich, or transform incoming data before sending it downstream to other systems.
- Secure and Reliable: Ensure encrypted, secure data transmission to protect sensitive data while in transit.
Use Cases
- Real-Time Analytics: Capture streaming data from Kinesis and send it to analytics platforms for live reporting and decision-making.
- Event-Driven Automation: Trigger workflows or actions based on incoming data from Kinesis Data Streams, enabling real-time responses.
- IoT and Sensor Data: Stream and process large amounts of real-time data from IoT devices or sensors, enabling quick analysis and response.
With the Kinesis Data Streams Source Connector, GlassFlow allows you to seamlessly process and transform real-time data from Kinesis, ensuring your data workflows are dynamic and responsive.
