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Go Diskless with AutoMQ
See how AutoMQ eliminates the operational complexity and cost of traditional Kafka.
Cloud-Native Storage
Built on object storage (S3, GCS, Azure Blob) — 11 nines durability, unlimited capacity, pay only for what you store
Zero Disk
No EBS volumes, no RAID configs, no disk failures to handle — dramatically reduce ops overhead and infrastructure costs
Zero Over-Provisioning
Stateless brokers auto-scale in seconds — no capacity planning, no partition reassignment, no idle resources
Zero Cross-AZ Traffic
Clients connect to local-zone brokers, shared storage eliminates replica sync — no cross-AZ data transfer costs
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Diskless Kafka, Infinite Scale
100% Kafka-compatible — same APIs, same protocol, same ecosystem. AutoMQ's shared-storage architecture delivers unlimited scalability with zero operational burden.
Cloud-Native Storage
Built on object storage (S3, GCS, Azure Blob) — 11 nines durability, unlimited capacity, pay only for what you store
Zero Disk
No EBS volumes, no RAID configs, no disk failures to handle — dramatically reduce ops overhead and infrastructure costs
Zero Over-Provisioning
Stateless brokers auto-scale in seconds — no capacity planning, no partition reassignment, no idle resources
Zero Cross-AZ Traffic
Clients connect to local-zone brokers, shared storage eliminates replica sync — no cross-AZ data transfer costs
Scale Kafka with Ease, Pay per GiB
Simplify scaling and costs. AutoMQ eliminates fixed clusters and provisions resources dynamically, charging you solely based on actual data transferred.
Built-in Elasticity
AutoMQ automatically adjusts capacity based on demand, preventing over-provisioning and cutting expense.
Auto-Scaling
Scale automatically based on traffic without manual intervention.
Pay-as-You-Go Pricing
Pay only for actual data transferred. No idle capacity charges.
Zero Capacity Planning
No upfront sizing or resource forecasting. Deploy and forget.
Auto-Balancing
Automatically rebalance partitions across brokers for optimal performance.
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 ~ 20ms
- •5x faster catch-up reads
- •Partition reassignment in seconds, not hours
- •Read/write isolation prevents mutual interference
Cost Efficiency
- •Up to 21x lower storage cost (3× EBS replicas → S3)
- •Zero cross-AZ data transfer fees (vs ~$0.05/GB in Kafka)
- •Pay-as-you-go, usage-based pricing
- •Auto-scaling, no idle capacity or overprovisioning
True Elasticity
- •Scale up and down in seconds
- •Auto-scaling based on workload
- •Auto-balancing keeps partitions evenly distributed
- •Zero downtime during scaling operations
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
Cloud Native
- •Built for AWS, Azure, Google Cloud, and OCI
- •Leverage cloud object storage
- •Multi-AZ deployment by default
- •Integrated with cloud-native tooling
Simple Operations
- •No complex cluster management
- •Automated failover and recovery
- •Built-in monitoring and observability
- •Reduce operational overhead by 90%
Powering Your Kafka Ecosystem
Go beyond basic Kafka with enterprise‑grade solutions for seamless migration, managed connectors, multi‑cluster resilience, and lakehouse integration—all in one unified platform.
Table Topic
Natively integrates Iceberg/Delta Lake table formats to auto-convert Kafka topics into query-ready tables without ETL pipelines.
Managed Connector
300+ connectors with 100% compatibility with Kafka upstream and downstream ecosystem.
Kafka Linking
Zero-downtime migration from any Kafka. Byte-for-byte replication. Rolling cutover. Done.
Multi-Cluster DR
Unified access point for multiple clusters with transparent topic cluster switching through proxy metadata routing for disaster recovery capabilities.
Performance Comparison
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) |
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| 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. |
BYOC or Software? Choose Your Experience
Both models guarantee 100% sovereignty by keeping your Data, Metadata (KRaft), and Control Plane entirely within your own VPC.
AutoMQ BYOC
The "Managed" Solution
Fully automated orchestration for teams that want a managed service experience.
One-Click Cluster Management
Deploy and manage the entire lifecycle via the AutoMQ Cloud Console. No manual provisioning of brokers or infrastructure.
Fully Automated Operations
Enjoy "Set-it-and-Forget-it" Kafka. AutoMQ handles automated scaling, rebalancing, and version patching within your VPC.
Ultimate Privacy (Triple-Plane Isolation)
The Control Plane, Data, and KRaft Metadata all stay inside your VPC. You get SaaS-level automation without ever opening your network to external third parties.
Flexible Cloud Billing
Pay-as-you-go pricing integrated directly with Cloud Marketplace subscriptions (AWS, GCP, Azure, OCI).
AutoMQ Software
The "Integrated" Solution
Leverage your existing DevOps assets and Kubernetes ecosystem.
Preserve Existing Tech Stacks
Built for teams using Strimzi, Helm Charts, or custom K8s Operators. Drop AutoMQ into your existing Kafka deployment workflow without changing a line of code.
Total Architectural Control
Perfect for power users who want to manage their own maintenance windows, resource scheduling, and infrastructure tuning.
Same "Zero-Leak" Security
Just like BYOC, your Data, KRaft Metadata, and Control Plane remain 100% within your security perimeter (Public Cloud or Private IDC).
Flexible Enterprise Billing
Supports Pay-as-you-go + Marketplace (plus a dedicated Support Fee) or Custom Contract options for large-scale enterprise needs.
| Feature | BYOC | Software |
|---|---|---|
| Data, Metadata & Control Plane | Inside Your Cloud VPC | Your EnvironmentVPC or On-Prem |
| Deployment Method | AutomatedWebUI/Terraform/REST-API | Self-ManagedStrimzi, Helm, or Manual |
| Billing Mode | Pay-as-you-go / Marketplace | Pay-as-you-go or Contract |
| Additional Fees | Zero | Support Fee |
Why 80% of our public cloud customers choose BYOC:
Because the Data, Metadata, and Control Plane are already isolated in your VPC, BYOC offers the same security as Software but removes the operational burden of managing Strimzi or Helm. It's the fastest path to a production-ready, diskless Kafka.
Trusted by Industry Leaders
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 (object storage) lets you treat brokers as elastic compute—scaling becomes a capacity decision. For ultra-low-latency needs, NFS-backed deployment provides a dedicated option alongside cost-efficient object storage. 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 not only solved the severe storage and network redundancy issues inherent in traditional architectures but also 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. Furthermore, 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 not only solved our long-standing bottlenecks regarding 'cold reads' and elasticity but also cut 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 our massive shopping festivals with zero downtime."
Available on Cloud Marketplaces
Subscribe to AutoMQ directly from your preferred cloud platform
