Home / Companies / Gel Data / Blog / Post Details
Content Deep Dive

Why ORMs are slow (and getting slower)

Blog post from Gel Data

Post Details
Company
Date Published
Author
Colin McDonnell
Word Count
1,818
Company Posts That Month
4
Language
English
Hacker News Points
9
Post removed?
No
Summary

Object-relational mapping (ORM) libraries are popular due to their usability benefits but come with important performance tradeoffs that are often poorly understood and quantified. To evaluate the performance of major ORM libraries, a new benchmarking tool called IMDBench has been open-sourced. The results show that ORMs have some unfortunate characteristics such as requiring multiple queries to fetch all the data needed for complex operations. This is why they are perceptually slower than raw SQL. However, it's important to understand the limitations of ORMs if you wish to make an informed decision regarding these technologies.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Serverless 3 585 126 56 -21%
Developer Experience 1 286 114 64 +43%
Edge Computing 1 27 12 9 +8%
Use This Data

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.