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Apache Flink vs Siddhi

Apache Flink

flink.apache.org

Siddhi

siddhi.io

Side by side

FigureApache FlinkSiddhi
Price fromFree—
Free planYes—
Free trial——
Open source——
Windows—Yes
macOS—Yes
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published10
Spec score · Stream Analytics Software8.1 (#8)7.4 (#21)
Spec score · Stream Processing Software8.1 (#8)7.3 (#22)
IntegrationsSeparately released connectors listed on the downloads page include AWS, Cassandra, Elasticsearch, Google Cloud PubSub, HBase, Hive, JDBC, Kafka, MongoDB, OpenSearch, Prometheus, Pulsar, and RabbitMQ.Supported event sources and destinations listed include Kafka, NATS, RabbitMQ, HTTP, gRPC, JMS, MQTT, Amazon SQS, Google Pub/Sub, email, files, and WebSocket.
Use casesFlink supports event-driven applications, stream and batch analytics, and data pipelines and ETL.The site describes real-time analytics, data integration, notification management, and adaptive decision-making as use cases.
What it doesApache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams.Siddhi is an open-source stream and complex event processing platform for building event-driven applications.

Plans

Apache Flink

  • Apache FlinkFree

Apache Flink pricing →

Siddhi

No plans published.

Siddhi pricing →

In their own words

Apache Flink

Apache Flink is a free, self-hosted framework and distributed processing engine for stateful computations over unbounded and bounded data streams. It supports event-driven applications, stream and batch analytics, and data pipelines and ETL. Listed correctness features include exactly-once state consistency, event-time processing and late-data handling. APIs include SQL for stream and batch data, DataStream and ProcessFunction for time and state. Operational capabilities cover flexible deployment, high availability, savepoints, scale-out architecture, very large state and incremental checkpoints. The project lists low latency, high throughput and in-memory computing. Flink runs in common cluster environments; for Kubernetes, the Kubernetes Operator is identified as the standard deployment mechanism. Connectors include AWS, Cassandra, Elasticsearch, Google Cloud PubSub, HBase, Hive, JDBC, Kafka, MongoDB, OpenSearch, Prometheus, Pulsar and RabbitMQ. Security requires configuration because SSL/TLS, REST authentication and SQL Gateway authentication are disabled by default. It is available at free under Apache License v2.

Visit flink.apache.org

Siddhi

Siddhi has no write-up on Specifiction yet; its figures are above.

Visit siddhi.io