Scale rapidly during peak traffic and avoid resource waste during off-peak periods.
AutoMQ reduces billing by over 50% through S3 integration, Auto-Scaling, and Multi-Region Writes optimization.
In BYOC mode, AutoMQ deploys both the control plane and data plane within the user's VPC, utilizing the user's compute resources and object storage, ensuring that data never leaves the user's environment. Maintenance and operational services are provided through a secure, auditable delegated operations channel.
A multi-cloud native architecture enables one-click deployment on major public and private clouds.
AutoMQ's shared storage architecture inherently supports streaming data ingestion into data lakes. With just a single click, activate real-time writing of Topic data into Iceberg tables. AutoMQ includes a built-in Schema Registry and Auto-Scaling functionality. Utilizing Table Topic eliminates the need for maintaining traditional ETL tasks and loads, as well as manual schema management.
Fully compatible with the Apache Kafka ecosystem, AutoMQ provides out-of-the-box data integration. It supports data ingestion from databases, logs, IoT sources, and distributes data to downstream services such as observability, data lakes, and analytics. AutoMQ supports deployment via Terraform and Kubernetes, is compatible with Kafka Admin CLI/API, and enables standard, agile management of clusters and resources.
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