Raw+DC Database Pattern: A Retrospective

TL;DR; After migrating three production Python web apps from MongoEngine to the Raw+DC database pattern, I measured nearly 2x the requests per second, 18% less memory, and gained native async suppo...

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Raw+DC Database Pattern: A Retrospective

Source: Michael Kennedy's Thoughts on Technology

TL;DR; After migrating three production Python web apps from MongoEngine to the Raw+DC database pattern, I measured nearly 2x the requests per second, 18% less memory, and gained native async support. Raw+DC delivered real-world performance gains, not just synthetic benchmarks. About a month ago, I wrote about a new design pattern I’m seeing gain traction in the software space: Raw+DC: The ORM pattern of 2026. This article generated a lot of interest and a lot of debate. The short version: instead of using an ORM or ODM, you write raw database queries paired with Python dataclasses for type safety. This gives AI coding assistants a much larger training base to work from, reduces dependency risk, and delivers comparable or better performance. Putting Raw+DC into practice Now that some time has passed and I’ve thought about it more, I’ve had a chance to migrate three of my most important web apps to Raw+DC: Talk Python the podcast, Talk Python Courses, and Python Bytes.

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