AutoMQ vs Confluent Cloud

AutoMQ is Kafka-compatible streaming software that runs Kafka on cloud object storage. It supports S3, Google Cloud Storage, Azure Blob Storage, MinIO, and Ceph, and can be deployed on premises or in private and public clouds by binary, Helm, or Docker Compose. AutoMQ states sub-10ms P99 latency and automatic scaling with traffic, including partition rebalancing across brokers. Table Topic can materialize Kafka topics as Iceberg or Delta Lake tables without ETL pipelines, for direct querying with Spark, Trino, or Flink. Managed Connector runs Kafka Connect workers in a customer’s Kubernetes environment, with logs and monitoring for throughput, task health, failures, and anomalies. The platform lists stream processing, schema registry, exactly-once delivery, a maximum 90-day retention period, and 300 connectors. Supported client languages include Java, C/C++, Go, Python, and NodeJS. Pro costs $300 a month; Enterprise pricing is by contact. There is no free plan, but a 30-day free trial requires no credit card.

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.