Amazon Managed Streaming for Apache Kafka vs Confluent Cloud

Amazon Managed Streaming for Apache Kafka (MSK) manages Apache Kafka infrastructure on AWS for developers and platform engineers. It provisions and configures clusters, replaces failed servers, coordinates patches and upgrades, and handles monitoring and scaling. Provisioned clusters let customers choose broker and storage options, while Serverless clusters adjust resources to workload needs. MSK keeps compatibility with the Apache Kafka client protocol, so existing Kafka applications and tools can work without application code changes. Integrations include Amazon S3, Redshift, Managed Service for Apache Flink, Lambda, Glue Schema Registry, and Database Migration Service. Clusters span multiple Availability Zones, with three as the default, and the service-level agreement specifies three 9s of availability. Security includes IAM, SASL/SCRAM or mutual TLS for Provisioned clusters, and encryption in transit and at rest. CloudWatch supplies over 50 default metrics at no additional cost. MSK is paid, with separate charges possible for storage, processing, connectivity, and enhanced metrics.

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.