Confluent Cloud vs Siddhi
Confluent Cloud
confluent.ioSiddhi
siddhi.ioSide by side
| Figure | Confluent Cloud | Siddhi |
|---|---|---|
| Price from | $385/mo | — |
| Free plan | Yes | — |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 4 | 0 |
| Spec score · Stream Analytics Software | 8.4 (#5) | 7.4 (#21) |
| Spec score · Stream Processing Software | 8.3 (#6) | 7.3 (#22) |
| Integrations | Confluent Cloud offers pre-built and fully managed Kafka connectors for sources and sinks such as databases, data lakes, and data warehouses. | Supported event sources and destinations listed include Kafka, NATS, RabbitMQ, HTTP, gRPC, JMS, MQTT, Amazon SQS, Google Pub/Sub, email, files, and WebSocket. |
| Product | Confluent Cloud is a fully managed deployment of Confluent’s data streaming platform, powered by a serverless Apache Kafka engine. | Siddhi is an open source stream and complex event processing engine for building event-driven applications. |
| Security | The page names RBAC, self-managed encryption keys, client-side field-level encryption, and audit logs among its security features. | WSO2 asks vulnerability reports to be sent privately to its security mailing list and says initial response time will be under one hour. |
Plans
Confluent Cloud
- BasicFree
- Standard$385 a month
- Enterprise$895 a month
- Confluent CloudFree
In their own words
Confluent Cloud
Confluent Cloud is a managed data streaming platform built on a serverless Apache Kafka engine. It is designed for real-time streaming, event-driven applications, analytics, and AI/ML workloads. Cluster choices include Basic, Standard, Enterprise, and Freight, as well as Dedicated clusters with pre-provisioned resources. Confluent says its cloud-native engine adjusts cluster infrastructure to workload needs. Cluster Linking replicates, synchronizes, and shares data across regions, public clouds, and organizations. The service includes managed Kafka connectors for databases, data lakes, and warehouses, serverless processing with Apache Flink, and a managed Stream Governance suite. Tableflow can materialize Kafka topics and schemas as Apache Iceberg and Delta Lake tables. Listed security features include RBAC, self-managed encryption keys, client-side field-level encryption, and audit logs. Users can manage clusters and topics through a web UI or CLI; supported client languages include Java, Python, .NET, Go, Node.js, and C/C++. It is available on AWS, Azure, and Google Cloud across more than 100 regions. A free plan is available; paid plans start at $385/mo, and new signups receive a 30-day trial.