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Enterprise Layer Intelligence
Categories/Data Platform & Integration/AutoMQ
AutoMQ

AutoMQ

Run Apache Kafka directly on cloud object storage without local disks

Pricing model

Free Trial

Rating

★ People love it

Time to value

Moderate Setup (1-3 hours)

You can use AutoMQ to run Apache Kafka workloads directly on cloud object storage like Amazon S3, Google Cloud Storage, or Azure Blob. Instead of provisioning expensive virtual disks and managing partition rebalances across brokers, AutoMQ decouples compute from storage. This lets your brokers run as stateless nodes that scale up or down within seconds based on real-time traffic. It maintains full compatibility with standard Kafka APIs and connectors, eliminating cross-availability-zone data transfer costs while lowering overall cloud infrastructure expenses.

What AutoMQ does

Deploy stateless Kafka brokers on Kubernetes using HelmStream event logs directly into Amazon S3 or Google Cloud StorageRebalance Kafka partitions instantly without copying underlying dataScale broker compute capacity automatically based on real-time trafficConnect standard Kafka producers and consumers without modifying application codeProject streaming topics into Iceberg tables for immediate queryingRuns Kafka brokers directly on cloud object storage like Amazon S3 and Azure BlobStateless broker architecture allowing auto-scaling within secondsEliminates cross-availability-zone data transfer feesReassigns partitions across brokers in seconds via metadata updatesMaintains full API compatibility with standard Apache Kafka clientsConverts streaming topics directly into Apache Iceberg or Delta Lake tablesProvides both self-hosted Kubernetes software and Bring Your Own Cloud deployment options

Pricing breakdown

Pricing model: Free trial

Tutorials & Demos

Frequently asked

AWSAWSKubernetesKubernetes

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AutoMQ, Kafka, Apache Kafka, object storage, S3, data streaming, message queue, event streaming, cloud-native, diskless, streaming data, Kafka alternative, BYOC, Kubernetes, message broker