Stream Processing
C3 AI provides you with options to handle large and complex data efficiently. Use data integration options provided by the C3 Agentic AI Platform to support data aggregation from multiple disparate sources.
Stream processing
Stream processing continuously processes data in real-time as it arrives, enabling immediate analysis and actions. The data is processed as it flows into the system, allowing for low-latency responses and immediate availability. This approach is designed for handling data that is constantly being generated. This is ideal for applications requiring instant feedback, like monitoring systems, fraud detection, and real-time analytics.
Examples in C3 AI
Integrating with streaming systems and message queues such as Apache Kafka, AWS Kinesis, and Azure Event Hubs to process events and transactions in real time.
Receiving external data feeds like news and financial data, allowing for immediate processing and updates.
In summary, Batch and Stream Processing are two essential paradigms for data management in the C3 Agentic AI Platform. Batch processing is effective for handling large volumes of data at scheduled intervals, while stream processing excels in real-time data handling and immediate processing. The combination of both approaches within the platform allows users to address various data processing needs efficiently, ensuring high performance, scalability, and reliability. This flexibility enables organizations to leverage data from diverse sources for comprehensive analysis and decision-making.