Traditional architecture and SaaS-only deployment drive up your total cost of ownership.
Confluent is built on a traditional on-premise Kafka architecture, failing to leverage true cloud-native S3 efficiencies.
The legacy design forces you to pay for massive EC2 and EBS costs that Confluent simply passes on to you.
Unlike Confluent, AutoMQ uses a Diskless architecture to offload data directly to S3, stripping away the "AWS Tax" entirely.
Confluent lacks a native BYOC model, forcing your data to leave your VPC and reside in their SaaS account.
Bridging your account to Confluent's SaaS triggers high, recurring AWS Private Link fees for every byte transferred.
AutoMQ keeps data 100% within your VPC, eliminating the cross-account networking costs and security risks inherent to Confluent.
Confluent bills you for every partition created, regardless of whether there is actual data throughput or traffic.
Partitions across Testing, Staging, and Production environments multiply your costs even when idle.
For many customers, these arbitrary partition fees can balloon to exceed 50% of the total monthly invoice.
100% Kafka compatibility. Run in your own VPC on any cloud. No partition fees. No vendor lock-in. Full data sovereignty. Elastic, diskless Kafka with transparent pricing and simplified operations.
A detailed comparison across architecture, deployment, cost structure, and migration experience.
| Category | AutoMQ (True BYOC) | Confluent |
|---|---|---|
| Unified Kernel | Single Kernel One kernel supports multiple workloads with flexible trade-offs between cost, latency, and throughput. | Fragmented Kernels Different kernels (Kora, WarpStream, Freight) for different workloads; no unified architecture. |
| Enterprise BYOC | True BYOC Designed for BYOC from day one; fully managed with unified control and data planes within your VPC. | Acquired BYOC BYOC via WarpStream acquisition; data plane and metadata server are separated. |
| Storage Architecture | Native Diskless Built for S3 from day one; 100% direct-to-object-storage persistence. | EBS-Based Primary storage on EBS; object storage option (Freight) in early access. |
| Cost Structure | Transparent Pay only for cloud resources you use; supports Spot Instances and S3-native storage. | Multi-Layer Includes partition fees, platform fees, and cross-AZ data transfer costs. |
| Networking | Internal Efficiency All traffic stays within your VPC; zero bridge fees and zero hidden traffic costs. | External Complexity Massive bills for Private Link and inter-zone data transfer. |
| Migration Experience | Seamless Kafka Linking enables Zero-Downtime migration with full Offset Preservation. | High Friction Cluster Linking typically requires downtime for cutover; complex to preserve offsets. |
Typical production workload: 100 MiB/s write · 300 MiB/s read · 5,000 partitions · 72h retention
* Pricing based on publicly listed prices. Confluent bundles compute & storage costs into its managed service fee.
Teams across fintech, gaming, and mobility chose AutoMQ for elastic scaling, full infrastructure control, and transparent pricing.
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