Siddhi
FundedCloud-native streaming data processor for real-time event-driven applications
About Siddhi
Siddhi is a scalable, cloud-native stream processing and complex event processing system designed to build event-driven applications that handle real-time analytics, data integration, and adaptive decision-making. It supports writing event processing logic using Streaming SQL queries through graphical and source editors, enabling enterprises to capture, process, analyze, and publish events from diverse data sources in real time. Siddhi is suitable for organizations requiring robust streaming data integration, analytics, and alerting capabilities within their DevOps workflows.
The platform offers flexible deployment options including embedded Java or Python libraries, microservices on bare-metal, VMs, Docker, and Kubernetes environments. It integrates seamlessly with messaging systems like NATS, Kafka, and JMS, databases, services, and file systems, supporting fault tolerance and zero event loss with exactly-once processing guarantees. Siddhi’s architecture supports scalable, highly available distributed event processing, making it ideal for large enterprises processing millions of events per second. Its CI/CD pipeline support and cloud-native design facilitate agile development and reliable production deployments.
Key Capabilities
- ✓Real-time streaming data integration and transformation
- ✓Complex event processing with Streaming SQL
- ✓Scalable, distributed event processing on Kubernetes
- ✓Integration with messaging, databases, and services
- ✓Zero event loss with exactly-once processing guarantees
Integrations
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