Kafka Integration
The Kafka integration empowers Genesis applications to seamlessly publish and subscribe to Apache Kafka’s real-time data streams. By standardizing real-time data integration, it ensures a consistent and efficient approach.
Platform Overview
Features & Capabilities
Real-Time Data Streaming
Enables continuous ingestion of external data via Kafka.
Schema-Based Data Processing
Supports Avro schemas for structured data ingestion.
Efficient Message Handling
Configurable consumer groups optimize message consumption and distribution.
Guaranteed Data Delivery
Uses Kafka replication features for fault tolerance and resilience.
Kafka Topic Workflows
Consuming From Kafka Topics
Subscribes to a Kafka topic, detects new records, and retrieves them for processing, transformation, and database writing.
Kafka Topic Workflows
Publishing To Kafka Topics
Responds to events, such as records being written to the database, and publishes data to the specified Kafka topic.
Related Platform Capabilities
Event Handler
Supports event-driven processing across Genesis applications and integrations.
Related Platform Capabilities
Data Pipelines
Enables structured data movement, transformation, and ingestion workflows.
Technical Highlights
Apache Kafka Integration
Uses Kafka brokers and topics to manage data streams.
Schema Registry Support
Ensures proper data structure and validation using Avro.
Scalable Consumer Architecture
Allows multiple consumers to process messages in parallel.
Low Latency Processing
Optimized for fast data ingestion and minimal lag.