Diskless database architectures separate compute from storage, replacing local disk persistence with in-memory indexing backed by object storage. This eliminates the storage bottleneck common in high-throughput workloads like telemetry, IoT, and industrial AI systems. Benefits include independent scaling of compute and storage, automatic fault isolation, multi-AZ durability without complex replication, and zero-downtime upgrades. The shift enables real-time ingestion and querying at petabyte scale, allowing predictive maintenance, industrial control, and ML systems to operate on live data streams rather than batched snapshots.
Sort: