Perplexity 发布自研数据库 CobbleDB 替代 AWS DynamoDB
Perplexity 用 AI 代理做了个数据库，能省一亿美金，比 AWS 的 DynamoDB 更省钱。
Perplexity 用两名工程师和数百个 AI 代理在两个月内开发出 CobbleDB，其核心是用于网页内容检索的键值数据库。
迁移后每年可节省高达一亿美元。该数据库旨在提升 Perplexity 搜索服务的性能。
We built a replacement for AWS DynamoDB, a key-value database for fast web content fetches. This was done with two engineers and hundreds of persistent Computer agents over two months. Migrating to our in-house database will save us up to a hundred million dollars yearly. Perplexity @perplexity_ai We’re publishing research on how we built CobbleDB, our key-value database that serves web content for Perplexity search. Two engineers and a team of hundreds of proactive, always-on AI agents built the core infrastructure in two months. 🔗 View Quoted Tweet📊 22 ⚡
This report is categorized under AITOP's "Products" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows and US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include Perplexity, CobbleDB, 数据库, AI代理.
Source attribution: curated from Aravind Srinivas (@AravSrinivas). Cross-source corroboration: 3 independent sources have covered this development (including Perplexity, shao__meng), confirming industry-wide signal strength.
