Unprecedented Performance
Atomic Fusion solves core problems that other platforms and legacy Kafka haven't.
Raw Throughput
Legacy Problem
Clusters choke under pressure, where even modest workloads require hundreds of partitions across dozens of brokers.
Atomic Solution
Massively parallel storage architecture achieving 20× higher write throughput per partition.
What You Get
20× Higher Throughput
Predictable Latency
Legacy Problem
Garbage collection, blocking I/O, and asynchronous replication conspire against real-time workloads.
Atomic Solution
Single-thread-per-core, written in Rust to avoid GC, consistently delivers 10× lower end-to-end latency.
What You Get
10× Lower Latency
Total Cost of Ownership
Legacy Problem
Antiquated design means you pay for idle compute and unused storage across overprovisioned clusters.
Atomic Solution
Elastically scalable storage infrastructure lowers your total cost of ownership by 20%, all while providing superior reliability and performance.
What You Get
20% Lower Price
See How Atomic Stacks Up Against Confluent, RedPanda, and Native Kafka
| Categoría | Atomic | |
|---|---|---|
| End-to-End Latency | Sí, Good | Limitado, 10–50 ms (well-tuned) |
| Throughput per Partition / Shard | Sí, Good | Limitado, ~1 M events/s per partition |
| Auto-Scaling | Sí, scalable | Sí, Semi-auto / Managed (Confluent Cloud) |
| Setup Time | Sí, 5-15 minutes | Limitado, Hours–Days (managed), Weeks (self-hosted) |
| Configuration Complexity | Sí, Low | No, High (many tuning knobs) |
| Monitoring & Observability | Sí, Good | Sí, Control Center + JMX |
| Maintenance Overhead | Sí, Good | Limitado, Moderate–High (self-hosted), Lower (managed) |
