In aerospace, performance hinges on how fast systems can absorb and interpret massive telemetry streams, and storage is often the silent limiter. When you’re generating terabytes to petabytes of data in a single test cycle, even a brief stall in the storage layer becomes a bottleneck. A few milliseconds of delay between what’s happening and what the system can write, index, or retrieve doesn’t just slow things down. It can compound through an entire run.
Traditional databases were built around disk constraints and batch workloads. But what happens when those limits no longer define what’s possible?
The diskless shift
Diskless architectures sidestep traditional constraints by separating compute from storage and removing local persistence from the critical path. Data is ingested and indexed in memory for immediate availability, while object storage provides the durable, elastic foundation underneath. The result is a database that accelerates both ingestion and retrieval without sacrificing persistence.
This design offers the best of both worlds: the elasticity and durability of object storage with the speed of in-memory caching. Compute and storage scale independently. Systems can scale continuously, recover automatically, and adapt to changing workloads without planned downtime or manual intervention.
