Confluent Cloud vs Kafka Streams
Confluent Cloud
confluent.ioKafka Streams
kafka.apache.orgSide by side
| Figure | Confluent Cloud | Kafka Streams |
|---|---|---|
| Price from | $385/mo | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | Yes | — |
| Self-hosted | — | Yes |
| Plans published | 4 | 1 |
| Spec score · Stream Analytics Software | 8.4 (#5) | 7.9 (#15) |
| Spec score · Stream Processing Software | 8.3 (#6) | 7.8 (#15) |
| Founded | 2014 | 1999 |
| Integrations | Confluent Cloud offers pre-built and fully managed Kafka connectors for sources and sinks such as databases, data lakes, and data warehouses. | Kafka's ecosystem includes tools for stream processing, Hadoop integration, monitoring, and deployment, and Kafka Connect provides connectors for external systems. |
| Security | The page names RBAC, self-managed encryption keys, client-side field-level encryption, and audit logs among its security features. | Kafka Streams natively integrates with Kafka security features, including encryption in transit, client authentication, and client authorization. |
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.
Kafka Streams
Kafka Streams is a free client library for building applications and microservices that use data stored in Kafka clusters. It processes Kafka data with event-time handling, windowing, and real-time queries of application state. The Streams DSL provides operations such as mapping, filtering, joins, and aggregations, while the Processor API supports custom processors and state stores. Fault-tolerant local state supports stateful work such as windowed joins and aggregations, and the library offers exactly-once processing semantics. Applications can run on one machine or scale across multiple machines, and can be deployed in containers, virtual machines, on bare metal, or in cloud environments. Kafka Streams uses Kafka as its internal messaging layer and does not require a separate processing cluster. It supports Java and Scala and integrates with Kafka security features for encryption in transit, client authentication, and authorization. The software is licensed under Apache License 2.0. The Apache Software Foundation says it does not sell its software or provide formal or commercial support for its packages; project communication is available through community mailing lists.