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.

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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.

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Traditional Kafka Architecture

Apache Kafka® uses a traditional broker-based architecture where each broker manages its own disk storage. This architecture requires careful capacity planning, manual scaling operations, and incurs high infrastructure costs due to over-provisioning needs.

Local Disk Storage

Each broker maintains local disk storage, requiring careful capacity planning and manual scaling

Data Replication

Multiple replicas across availability zones ensure data durability but increase storage costs

Manual Scaling

Scaling requires careful data migration and rebalancing operations

High Infrastructure Cost

Over-provisioning needed to handle peak loads, leading to 60-80% resource waste

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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