Deploy on Any Cloud
See how AutoMQ eliminates the operational complexity and cost of traditional Kafka.
Built on object storage (S3, GCS, Azure Blob) — 11 nines durability, unlimited capacity, pay only for what you store
No EBS volumes, no RAID configs, no disk failures to handle — dramatically reduce ops overhead and infrastructure costs
Stateless brokers auto-scale in seconds — no capacity planning, no partition reassignment, no idle resources
Clients connect to local-zone brokers, shared storage eliminates replica sync — no cross-AZ data transfer costs
Low Latency WAL
Memory Cache
Object Storage100% Kafka-compatible — same APIs, same protocol, same ecosystem. AutoMQ's shared-storage architecture delivers unlimited scalability with zero operational burden.
Built on object storage (S3, GCS, Azure Blob) — 11 nines durability, unlimited capacity, pay only for what you store
No EBS volumes, no RAID configs, no disk failures to handle — dramatically reduce ops overhead and infrastructure costs
Stateless brokers auto-scale in seconds — no capacity planning, no partition reassignment, no idle resources
Clients connect to local-zone brokers, shared storage eliminates replica sync — no cross-AZ data transfer costs
Simplify scaling and costs. AutoMQ eliminates fixed clusters and provisions resources dynamically, charging you solely based on actual data transferred.
AutoMQ automatically adjusts capacity based on demand, preventing over-provisioning and cutting expense.
Scale automatically based on traffic without manual intervention.
Pay only for actual data transferred. No idle capacity charges.
No upfront sizing or resource forecasting. Deploy and forget.
Automatically rebalance partitions across brokers for optimal performance.
A complete reimagining of Kafka for the cloud—radically simpler, more cost-effective, and truly elastic.
Go beyond basic Kafka with enterprise‑grade solutions for seamless migration, managed connectors, multi‑cluster resilience, and lakehouse integration—all in one unified platform.
Natively integrates Iceberg/Delta Lake table formats to auto-convert Kafka topics into query-ready tables without ETL pipelines.
300+ connectors with 100% compatibility with Kafka upstream and downstream ecosystem.
Zero-downtime migration from any Kafka. Byte-for-byte replication. Rolling cutover. Done.
Unified access point for multiple clusters with transparent topic cluster switching through proxy metadata routing for disaster recovery capabilities.
AutoMQ outperforms Apache Kafka on latency, throughput, and rebalancing—by a lot. Looking for a specific metric? Contact us.
| Metric | Apache Kafka® | AutoMQ | Notes |
|---|---|---|---|
| Produce Latency (Median) | 5ms |
| AutoMQ bypasses OS PageCache and Java heap, eliminating GC pauses for consistently low latency. |
| Produce Latency (P99) | 100ms (with PageCache thrashing) |
| |
| Catch-up Read Throughput | Bound by broker disk I/O | >1GB/s per broker | Data streams directly from cloud storage, enabling massive parallel reads unbounded by local disk. |
| Maximum Partitions | 100Ks | 100Ks | AutoMQ uses Kafka's KRaft for metadata, delivering the same high partition limits as Apache Kafka. |
| Partition Reassignment Time | Hours | Seconds | Scaling requires only metadata updates—zero inter-broker data movement. |
For teams that want a managed Kafka experience without moving data out of their account.
Lower ops load. Provisioning, scaling, rebalancing, and patching are automated.
Cloud-native isolation. Data, KRaft metadata, and control plane stay inside your VPC.
Flexible billing. Use pay-as-you-go subscriptions through major cloud marketplaces.
For platform teams that already own Kubernetes delivery and infrastructure controls.
Use your stack. Fit AutoMQ into existing Kubernetes and Kafka deployment workflows.
Own the controls. Keep maintenance windows, scheduling, and infrastructure tuning in-house.
Enterprise terms. Support pay-as-you-go, marketplace, and custom contract options.
Choose BYOC
when you want the fastest path to managed production Kafka.
Choose Software
when your platform team must own deployment mechanics.
Same foundation
Kafka compatibility, diskless architecture, and sovereignty by design.
See what our customers say about AutoMQ
"At the Grab Data Engineering Platform team, we focus on improving the efficiency and scalability of our streaming data platform. By adopting AutoMQ, the platform leverages cloud-native storage and eliminates the need for replication between brokers. This enhances broker performance, reduces storage and network resource usage, and enables us to scale compute and storage resources to meet evolving demands."
"AutoMQ offers Kafka compatibility while cutting operational burden, cross-AZ costs, and painful rebalances. The shared-durability model lets you treat brokers as elastic compute—scaling becomes a capacity decision. For ultra-low-latency needs, NFS-backed deployment provides a dedicated option. Being open-source, it's inspectable, reduces lock-in, and lets teams validate behavior under their own workloads."
"AutoMQ's cloud-native architecture perfectly aligns with JD's strategy of running core infrastructure on Kubernetes. By offloading Kafka's data durability to CubeFS, we solved the severe storage and network redundancy issues inherent in traditional architectures and achieved true second-level elasticity. This allows us to effortlessly handle e-commerce traffic floods while significantly reducing infrastructure costs."
"Integrating AutoMQ into Tencent Cloud EMR completes our cloud-native data stack. Its storage-compute separation architecture allows our users to handle massive data streams with the same elasticity as our compute engines and save costs. AutoMQ's ability to seamlessly project streams as iceberg tables significantly accelerates real-time data analysis, removing the friction between streaming and data lake ecosystems."
"AutoMQ represents the true next generation of cloud-first Kafka. We replaced our entire 1,280-core Observability cluster with AutoMQ, which solved our long-standing bottlenecks regarding cold reads and elasticity while cutting our infrastructure bill in half. For nearly three years, it has been a rock-solid foundation, flawlessly supporting peak throughputs exceeding 40 GiB/s during massive shopping festivals."
"AutoMQ allowed us to transform our log pipeline into a truly cloud-native architecture on AWS ECS. By decoupling storage to S3, we achieved cost-effective long-term retention while maintaining 100% compatibility with our existing observability stack including Fluentd and Sumo Logic. We can now treat Kafka brokers as stateless resources, maximizing our operational agility."
"Running stateful Kafka workloads across multiple clouds was our biggest operational bottleneck. AutoMQ's diskless architecture transformed our infrastructure. By decoupling storage and compute, our brokers became truly stateless, allowing us to leverage Kubernetes for instant scaling exactly as we do with our microservices. It enabled us to standardize a single, unified streaming architecture across all our global cloud environments."
Available on Cloud Marketplaces
Subscribe to AutoMQ directly from your preferred cloud platform
