DynamoDB
Beyond Market Intelligence keeps DynamoDB in one place: 2 stories so far. The section currently leads with “Perplexity Transforms Search with CobbleDB, Achieving 5x Faster Queries” and “DynamoDB Unifies Data and Vector Search Without a Separate Database”. Perplexity has quietly rebuilt its search backbone, moving from Amazon DynamoDB to CobbleDB, its own key-value store written in Rust. DynamoDB now lets developers store embeddings right alongside their application data and run approximate nearest-neighbor queries without spinning up a separate vector database. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every DynamoDB story on Beyond Market Intelligence, newest first.
Perplexity Transforms Search with CobbleDB, Achieving 5x Faster Queries
Perplexity has quietly rebuilt its search backbone, moving from Amazon DynamoDB to CobbleDB, its own key-value store written in Rust. The result is a fivefold speed boost and lower costs on large document batches, all while handling serious production traffic. That is the kind of infrastructure bet most teams talk about but rarely pull off. For deeper looks at similar moves, Cloudflare's blog migration to EmDash shows how internal tools can reshape performance.
DynamoDB Unifies Data and Vector Search Without a Separate Database
DynamoDB now lets developers store embeddings right alongside their application data and run approximate nearest-neighbor queries without spinning up a separate vector database. That's a meaningful simplification for teams building semantic search features. Filtered similarity searches and configurable indexes make it practical, not just theoretical. It's the kind of move that reduces operational overhead while keeping workflows familiar. If you're exploring how far native database capabilities can stretch, this is worth a look.