llm/302a36fb-79e1-4f4b-b047-e145d20e4497/topic-7-e61a3169-d7e4-4604-95fd-ca59897714ab-output.json
Embedded databases like SQLite and DuckDB are increasingly celebrated for offering a streamlined "middle ground" that minimizes latency and simplifies architecture by keeping data on the same machine as the application. While modern hardware is powerful enough to support millions of users from a single machine, proponents argue that the "cloud" often overcomplicates deployments that could be handled more efficiently without network overhead. However, critics point out that this simplicity comes with trade-offs, such as the absence of a shared RAM cache, which can force developers to build manual caching layers or eventually migrate to PostgreSQL as they scale. Despite these hurdles, the rise of specialized backup tools and improved write concurrency has transformed embedded databases from mere replacements for local text files into sophisticated production tools that many "serious" database circles are only beginning to fully appreciate.