How does AutoMQ compare to AWS MSK or Confluent Cloud?

AutoMQ offers similar Kafka compatibility but focuses on cost reduction through S3 storage and eliminates cross-AZ fees, whereas MSK and Confluent are managed services with different pricing models. AutoMQ's open-source version provides more control but requires self-management, as hinted in the enterprise edition details.

How to migrate from Apache Kafka to AutoMQ?

Since AutoMQ is 100% Kafka compatible, you can point existing clients to the AutoMQ cluster. For zero-downtime migration, the enterprise edition offers Kafka Linking, but the open-source version may require manual data transfer and configuration adjustments, as noted in the README.

What is the real-world latency of AutoMQ vs Kafka?

Default AutoMQ latency is in the hundreds of milliseconds due to S3 storage, while Kafka on local disks can achieve lower latency. The enterprise version reduces this to single-digit milliseconds, but benchmarks in the README show trade-offs between cost and performance.

Does AutoMQ support exactly-once semantics?

Yes, as a fork of Apache Kafka, it should support all Kafka features including exactly-once semantics. However, users should verify implementation specifics in the documentation, as compatibility is claimed but not deeply detailed in the README.

How to set up AutoMQ on Kubernetes for production?

The README provides deployment guides for Kubernetes, but it cautions that production setup is complex and recommends contacting the community or using the enterprise edition for best practices, indicating a steeper learning curve.

Is AutoMQ truly open source or is there a catch?

AutoMQ is under the Apache 2.0 license, making it open source, but the enterprise edition offers additional features like low latency and migration tools, which are commercial. This split may limit access to advanced capabilities without payment.

Open-Awesome

AutoMQ

Apache-2.0Java1.6.6

A diskless Kafka alternative that runs on S3, offering 10x cost savings, autoscaling in seconds, and single-digit ms latency.

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9.7k stars689 forks0 contributors

What is AutoMQ?

AutoMQ is a cloud-native, diskless streaming platform that serves as a drop-in replacement for Apache Kafka. It runs on S3-compatible object storage to dramatically reduce costs, enable autoscaling in seconds, and eliminate cross-AZ traffic fees while maintaining full Kafka compatibility. The project solves the high operational expense and scalability limitations of traditional Kafka deployments in cloud environments.

Target Audience

DevOps engineers, data platform teams, and organizations running Apache Kafka in the cloud who need to reduce costs, simplify scaling, and improve reliability. It's also suitable for companies building event-driven architectures or real-time data pipelines on AWS, GCP, or other cloud providers with S3-compatible storage.

Value Proposition

AutoMQ offers 10x cost savings over Apache Kafka by leveraging S3 storage and eliminating cross-AZ traffic, while providing faster autoscaling (seconds vs. hours) and built-in operational automation. Unlike other Kafka alternatives, it maintains 100% API compatibility for seamless migration and adds innovative features like Table Topic for unified stream-table processing.

Overview

AutoMQ is a diskless Kafka® on S3. 10x Cost-Effective. No Cross-AZ Traffic Cost. Autoscale in seconds. Single-digit ms latency. Multi-AZ Availability.

Use Cases

Best For

Replacing Apache Kafka clusters to reduce cloud infrastructure costs by 90%
Building serverless event streaming platforms with automatic scaling
Eliminating cross-AZ data transfer fees for Kafka deployments on AWS or GCP
Migrating from Kafka to a stateless architecture without changing client code
Unifying stream and batch processing with Table Topic and Iceberg integration
Deploying Kafka-compatible messaging on Kubernetes with S3 persistence

Not Ideal For

On-premise deployments without access to S3-compatible object storage
Real-time applications requiring sub-millisecond latency without the enterprise edition
Small, stable workloads where Kafka's traditional disk-based provisioning is cost-effective
Teams heavily reliant on Kafka ecosystem tools that may not yet support AutoMQ's fork

Pros & Cons

Pros

Dramatic Cost Savings

Claims up to 90% reduction in cloud billing by eliminating cross-AZ traffic and using S3 storage, as evidenced in the README's cost comparison reports.

Rapid Autoscaling

Stateless brokers enable scaling in or out within seconds, supporting a pay-as-you-go model, unlike Kafka's hours-long processes.

Full Kafka Compatibility

100% compatible with Apache Kafka clients and APIs, ensuring seamless migration without code changes, as stated in the key features.

Built-in Operational Automation

Includes an auto balancer that automatically schedules partitions and traffic between brokers, eliminating manual reassignment tasks.

Innovative Stream-Table Unification

Introduces Table Topic feature for integrating streaming with Apache Iceberg and S3 tables, enhancing data processing capabilities beyond traditional Kafka.

Cons

Production Deployment Complexity

The README explicitly warns that the Quick Start is not for production and deploying a production-ready cluster is challenging, requiring community or enterprise support.

Default High Latency

Default S3-based storage results in hundreds of milliseconds of latency, only improved to single-digit milliseconds with the enterprise version, which may not suit low-latency applications.

Vendor Lock-in to S3 Ecosystems

Heavy reliance on S3-compatible storage limits deployment flexibility and adds dependency on cloud providers' object storage services, potentially increasing operational overhead.

Limited Community Maturity

As a relatively new fork of Kafka, it may lack the extensive ecosystem, plugins, and community support of established Apache Kafka, affecting integration and troubleshooting ease.

Open Source Alternative To

AutoMQ is an open-source alternative to the following products:

Apache Kafka

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