๐ฆ๐ฐ๐ฎ๐น๐ถ๐ป๐ด ๐ฉ๐ถ๐ฑ๐ฒ๐ผ ๐ฅ๐ฒ๐ฐ๐ผ๐บ๐บ๐ฒ๐ป๐ฑ๐ฎ๐๐ถ๐ผ๐ป๐ ๐๐ถ๐๐ต ๐ฆ๐๐ฟ๐ฟ๐ฒ๐ฎ๐น๐๐
I hit a wall with my recommendation system.
I used SQLite for everything. Search was fast. Recommendations were slow.
Some queries took 2.1 seconds. Users stopped watching. The problem was the data structure.
I moved the recommendation layer to SurrealDB.
SurrealDB treats relationships as primary data. One graph query replaces 40 lines of SQL.
The speed results:
- Warm path: 380ms to 25ms.
- Cold path: 2.1s to 240ms.
I learned three lessons:
- Separate your data by region for speed.
- Limit your edges to keep signal high.
- Use a simple cache with a 300-second limit.
Graph databases win when you focus on relationships.