Siddhi review
A flexible choice for teams building event patterns across many data sources.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Siddhi is an open-source stream-processing and complex-event-processing platform from WSO2. It is designed for teams building event-driven applications, streaming data integrations, real-time analytics, notifications, and adaptive decision-making. Siddhi Streaming SQL handles filters, windows, joins, aggregations, patterns, and rules, while deployment options include embedded Java or Python libraries, local or Docker microservices, and Kubernetes. It is a strong fit for teams that need event patterns and many adapters rather than a narrow single-purpose stream processor.
The core feature set covers several kinds of streaming state and timing. Time, length, session, batch, and event-time windows support different processing models, while stateful joins, tables, named windows, and aggregations support more involved event logic. Event pattern and sequence processing add a way to express relationships across events. Teams can edit queries graphically or through source and use event simulation during development. Online and pre-trained machine-learning model support extends the platform beyond fixed rules, although the published details do not define the scope of those model workflows.
Siddhi’s ecosystem fit is a central strength. Its 16 connectors include NATS, Kafka, RabbitMQ, HTTP, gRPC, TCP, JMS, IBM MQ, MQTT, Amazon SQS, Google Pub/Sub, Email, WebSocket, File, and Change Data Capture. That range suits environments where events arrive through mixed messaging systems, services, databases, files, and cloud storage. The trade-off is operational ownership: Siddhi is positioned for self-hosted deployment, so platform teams need to manage its runtime and deployment choices. Choose it when flexible event logic, embedding, and connector breadth matter; consider an alternative when a fully managed service is the priority.
Siddhi pros and cons
- Where it wins
- Streaming SQL with windows, joins, aggregations, and event patterns
- 16 connectors spanning messaging, databases, services, files, and cloud storage
- Embeddable Java and Python libraries with Docker and Kubernetes options
- Where it doesn't
- Self-hosted deployment requires teams to manage the operating environment
- Its broad feature set may require specialist streaming knowledge
- Future releases are planned as part of WSO2 Enterprise Integrator
Siddhi fact sheet, pricing and score →
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