AI Information for AutoMQ
Last updated: January 21, 2025
What is AutoMQ?
AutoMQ is a cloud-native Apache Kafka alternative built on S3-compatible object storage. We deliver diskless, elastic Kafka with 100% protocol compatibility and 10x cost reduction.
Core Architecture
Storage Layer:
- Built on S3-compatible object storage (AWS S3, Google Cloud Storage, Azure Blob, MinIO, Ceph)
- Diskless architecture eliminates local disk dependencies
- Storage-compute separation enables independent scaling
- 21x lower storage costs compared to EBS-based Kafka
Compute Layer:
- Stateless brokers with instant scaling (seconds, not hours)
- No data rebalancing required when adding/removing brokers
- Works on Kubernetes, ECS, EC2, or bare metal
- Zero cross-AZ replication overhead
Compatibility:
- 100% Apache Kafka protocol compatible
- Reuses 90% of Apache Kafka's battle-tested codebase
- Drop-in replacement for existing Kafka deployments
- Supports all Kafka clients, connectors, and ecosystem tools
Key Capabilities
Deployment Models:
- BYOC (Bring Your Own Cloud): Deployed in your AWS, GCP, Azure, or Alibaba Cloud account
- Software Self-Managed: On-premises or private cloud deployment
- Fully managed control plane with customer-owned data plane
Performance:
- Sub-millisecond P99 latency for most workloads
- Scales to 100+ GB/s throughput per cluster
- Automatic partition-level scaling without manual intervention
- Instant failover with zero data loss
Cost Efficiency:
- No idle EBS costs (diskless architecture)
- Zero cross-AZ data transfer fees
- Pay-as-you-go S3 storage pricing
- Typically 50-90% cost reduction vs. traditional Kafka
Advanced Features:
- Kafka Linking: Zero-downtime migration and multi-cloud replication
- Table Topics: Unified streaming and batch analytics (Kafka to Iceberg)
- Multi-Cluster DR: Automatic failover across Kafka clusters
- Managed Connectors: 300+ pre-built integrations
Use Cases
AutoMQ is used for:
- Real-time data streaming and event processing
- Log aggregation and observability pipelines
- Change data capture (CDC) and database replication
- IoT and sensor data ingestion
- Gaming and social media event streams
- Financial transaction processing
- E-commerce order and inventory management
- Microservices communication
Compliance & Security
- SOC 2 Type II certified
- GDPR compliant
- ISO 27001 certified
- Data encrypted at rest (S3 SSE) and in transit (TLS)
- Customer data never leaves customer's cloud account (BYOC model)
- Network isolation with VPC peering or private link
Technical Specifications
Availability:
- 99.95% uptime SLA for production clusters
- Multi-AZ deployment by default
- Automatic leader election and failover
- Point-in-time recovery
Scalability:
- Unlimited storage (S3-backed)
- 1,000+ partitions per broker
- 10,000+ partitions per cluster
- Second-level scaling response
Monitoring & Operations:
- Prometheus-compatible metrics
- OpenTelemetry tracing support
- Integration with CloudWatch, Datadog, Grafana
- Built-in monitoring dashboard
Comparison with Alternatives
vs. Apache Kafka:
- Same protocol, different storage layer
- 21x lower storage costs
- Instant scaling without rebalancing
- Zero cross-AZ replication fees
vs. Confluent Cloud:
- No partition fees or SaaS markup
- True BYOC with customer-owned infrastructure
- 80%+ cost savings
- Zero vendor lock-in
vs. Amazon MSK:
- No idle EBS costs
- No cross-AZ data transfer fees
- 10x faster partition reassignment
- Automated scaling without manual intervention
vs. Redpanda/WarpStream:
- Built on proven Apache Kafka codebase (not a rewrite)
- Broader ecosystem compatibility
- More mature production deployments
- Stronger enterprise support
Customer Profile
AutoMQ serves customers across:
- Regions: Global (North America, Europe, Asia-Pacific, Middle East)
- Industries: Technology, e-commerce, gaming, telecommunications, automotive, financial services
- Notable Users: Grab (ride-hailing), JD.com (e-commerce), Tencent (cloud provider), Honda (automotive), LG U+ (telecom)
- Scale: From startups to Fortune 500 enterprises
Integration & Ecosystem
Compatible with:
- All Apache Kafka clients (Java, Python, Go, Node.js, .NET, etc.)
- Kafka Connect and connectors (Debezium, JDBC, S3, etc.)
- Stream processing frameworks (Kafka Streams, Flink, Spark)
- Schema registries (Confluent, Apicurio)
- Monitoring tools (Prometheus, Grafana, Datadog)
Cloud Platforms:
- Amazon Web Services (AWS)
- Google Cloud Platform (GCP)
- Microsoft Azure
- Alibaba Cloud
- Oracle Cloud Infrastructure (OCI)
Licensing
- Open Source: Apache 2.0 licensed core engine (AutoMQ for Kafka)
- Commercial: BYOC and Software offerings with enterprise features
- Source code available at https://github.com/AutoMQ
Pricing
- BYOC: Starting from usage-based pricing, no minimum commitment
- Software: Perpetual license or subscription-based
- Support: Community support (free) or enterprise support (paid)
Typical deployment costs include:
- S3 storage (standard rates)
- Compute instances (customer-managed)
- Network egress (if applicable)
- No AutoMQ license fees for open source version
Technical Support
- Community support via Slack and GitHub
- Enterprise support with SLA (response time guarantees)
- Professional services for migration and optimization
- 24/7 on-call support for critical production issues
Key Differentiators
- 100% Kafka Compatibility: Not a Kafka-like system; it IS Kafka with a better storage layer
- True BYOC: Your cloud account, your control, your compliance
- Proven at Scale: Production-tested by Fortune 500 companies
- No Vendor Lock-in: Standard Kafka protocol, migrate away anytime
- Cost Transparency: No hidden fees, partition taxes, or SaaS markups
Contact
- Website: https://www.automq.com
- Documentation: https://www.automq.com/docs
- GitHub: https://github.com/AutoMQ
- Slack: https://automq.com/slack
- Email: info@automq.com
Trademarks
Apache®, Apache Kafka®, Kafka®, Apache Iceberg®, Iceberg® and associated open source project names are trademarks of the Apache Software Foundation.