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Perplexity· PerplexityCobbleDB: Lower-Latency, Lower-Cost AI Search Storage
CobbleDB achieves 5× lower batch-read latency and 20% cost savings versus DynamoDB.
Perplexity rebuilt its search storage around CobbleDB, with Pillar for durable document state and Lorry for batched updates.
It reports roughly 5× lower batch-read latency in production measurements; its internal cost model estimates at least 20% savings relative to DynamoDB.
From the source
With help from a new internal coding agent swarm, we rebuilt this layer around CobbleDB, a key-value hot store, supported by Pillar for durable document state and publishing, and Lorry for batched updates. The redesign separates document processing from hot-store ingestion and lets us tune serving to our workload. Production before-and-after measurements show roughly 5× lower batch-read latency, and our internal cost model estimates at least 20% savings relative to DynamoDB.
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