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Home Made CobbleDB Replaces DynamoDB at Perplexity to Cut Query Latency 5x and Reduce Cloud Storage

5x latency cut. Perplexity ditched DynamoDB for an in-house Rust key-value store—a sign that cloud databases can't keep pace with agentic search workloads.

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The infrastructure powering AI.AI illustration by KeyNews
The KeyNews take

Why it matters

Perplexity's migration from AWS DynamoDB to internally developed CobbleDB demonstrates a concrete shift in how high-volume AI applications architect storage infrastructure. The 5x latency reduction and cost savings signal that commodity cloud databases are becoming a scaling bottleneck for real-time retrieval at agentic query volumes.

The key facts

12 to know
  1. Perplexity migrated from Amazon DynamoDB to CobbleDB (Rust-based key-value store)

  2. Achieved 5x latency reduction

  3. Reduced cloud storage costs

  4. CobbleDB is internally developed

  5. Supports high query volumes in production

  6. Handles large document batches more efficiently

  7. Published Sep 25, 2026 via InfoQ

  8. Perplexity migrated from Amazon DynamoDB to CobbleDB (internally developed Rust key-value store)

  9. Reduced storage costs

  10. Supports high query volumes and large document batches

  11. Production deployment at scale

  12. Migration addresses latency and cost inefficiencies in cloud-managed NoSQL

Go to the source

InfoQ AI/MLinfoq.com

Publisher excerpt: 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…
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