Low-Latency, Diskless Kafka® on S3

AutoMQ is the low-latency diskless Kafka on S3 — 100% compatible, built for low-latency streaming at cloud scale, with zero inter-AZ costs, no over-provisioning, and seamless auto-scaling powered by real-time traffic balancing and intelligent partitioning.

Available On Cloud Provider's Marketplace

Trusted by Leading Companies Worldwide

AutoMQ powers 300+ GiB/s in production for leading enterprises that replaced Kafka.

Go Diskless with AutoMQ

AutoMQ is deployed as a stateless, auto-scaling broker with zero local disks to manage.

Auto-Scaling

Low Latency WAL

Memory Cache

Unlimited Main Storage

Object Storage

Zone A

Kafka
Client

Stateless

AutoMQ
Broker

Zone B

Kafka
Client

Stateless

AutoMQ
Broker

Zone C

Kafka
Client

Stateless

AutoMQ
Broker

Build Applications with AutoMQ

Build elastic applications and microservices with AutoMQ. Create, process, and analyze streams of events with Kafka's strong correctness and durability guarantees. Powerful, native APIs support Kafka Streams, ksqlDB, and Confluent's Parallel Consumer.

Cloud-Native Storage

Leverage S3-compatible object storage for unlimited scalability and 90% cost reduction

Instant Scaling

Scale compute and storage independently in seconds without data migration

Zero Disk Management

Completely diskless architecture eliminates disk management overhead

Pay-as-you-go

Only pay for actual storage used, no over-provisioning required

LINKS

Kafka Streams 301 course →Event Sourcing and Storage with Apache Kafka® →Spring Framework and Apache Kafka® →Client Code Examples for Java, Go, Python, .NET →

AutoMQ: The Better Kafka

A complete reimagining of Kafka for the cloud—radically simpler, more cost-effective, and truly elastic.

Superior Performance

•75% lower write latency with P99 < 50ms
•5x faster catch-up reads
•Seconds not hours for partition reassignment
•Independent produce/consume paths prevent backpressure

View Benchmark Results

Cost Efficiency

•Up to 10x lower cost than Apache Kafka
•Pay only for what you use with serverless architecture
•Automatic tiering to object storage
•No overprovisioning required

See Cost Comparison

True Elasticity

•Scale up and down in seconds
•Auto-scaling based on workload
•Zero downtime during scaling operations
•Decouple compute and storage for flexibility

Learn About Elasticity

Fully Kafka Compatible

•100% compatible with Apache Kafka APIs
•Drop-in replacement for existing applications
•Works with all Kafka ecosystem tools
•No code changes required

View Compatibility

Cloud Native

•Built for AWS, Azure, and Google Cloud
•Leverage cloud object storage (S3, Azure Blob)
•Multi-AZ deployment by default
•Integrated with cloud-native tooling

Explore Architecture

Simple Operations

•No complex cluster management
•Automated failover and recovery
•Built-in monitoring and observability
•Reduce operational overhead by 90%

See How It Works

Streaming Lakehouses

Natively integrates Iceberg/Delta Lake table formats to auto-convert Kafka topics into query-ready tables without ETL pipelines.

Kafka Linking

Seamlessly replicate data and metadata between AutoMQ and any Kafka protocol-compatible system for hybrid cloud, disaster recovery, and migration.

Kafka Connector

300+ connectors with 100% compatibility with Kafka upstream and downstream ecosystem.

Kafka Cluster Federation

Unified access point for multiple clusters with transparent topic cluster switching through proxy metadata routing for disaster recovery capabilities.

Unified Streaming and Analytics

AutoMQ's Table Topic feature seamlessly bridges streaming and batch analytics. By natively supporting Apache Iceberg and Delta Lake formats, your Kafka topics automatically become queryable tables. Eliminate complex ETL pipelines and data duplication while maintaining real-time data freshness for analytics workloads.

Learn About Table Topic