Real-Time Application Integration
Real-time application integration involves linking different software applications and systems to work together and...
Application Modernization, Data Ingestion, IoT Data Integration, Real-Time Processing
Apache Kafka
Apache Kafka is a robust, distributed event streaming platform capable of handling high-throughput and low-latency data streams. It serves as a central hub for real-time data pipelines and streaming applications, enabling businesses to process and analyze data as it flows through their systems. Kafka’s versatility and scalability make it a popular choice for modern data architectures.
Features
- Scalability: Distributed architecture.
- Durability: Persistent data storage.
- Performance: High throughput and low latency.
- Flexibility: Supports various data integration tools.
Benefits
- Reliability: Ensures data consistency.
- Efficiency: Handles large volumes of data.
- Integration: Seamless integration with other systems.
- Real-Time: Processes data in real-time.
Use Cases
- Real-time analytics.
- Event sourcing and logging.
- Stream processing applications.
- Data integration across systems.
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