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Perplexity's migration to its internal Rust-based CobbleDB demonstrates how specialized infrastructure can resolve specific latency and cost bottlenecks inherent in serving large-scale AI workloads. By decoupling durable storage from hot-tier retrieval, the company achieved a fivefold reduction in batch-read latency while lowering storage expenses, highlighting the critical need for optimized data architectures beyond general-purpose cloud databases.
Home Made CobbleDB Replaces DynamoDB at Perplexity to Cut Query Latency 5x and Reduce Cloud Storage
Perplexity has migrated its search infrastructure from Amazon DynamoDB to CobbleDB, an internally developed key-value store in Rust. This change reduced latency and costs associated with handling large document batches. The new architecture supports high query volumes more efficiently, achieving improved latency and reduced storage expenses while managing significant production traffic. By Olimpiu Pop
Perplexity has transitioned its core search serving tier away from Amazon DynamoDB to CobbleDB, an internally developed distributed key-value store written in Rust. The migration addresses severe latency and cost bottlenecks that arose from serving multi-kilobyte document batches to large language models under heavy query volumes. By decoupling durable document storage from hot-tier retrieval, the engineering team achieved a fivefold reduction in batch-read…
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