Python ORM Performance Benchmark: Comparing Different ORM Frameworks

Object Relational Mapping (ORM)Framework plays an important role in python development They play an important role in simplifying data access and management by building bridges between objects and relational databases. To evaluate the performance of different ORM frameworks, this article will benchmark test against the following popular frameworks:

sql
• Alchemy Peewee
• Django
• ORM Pony ORM
• Tortoise ORM

Test Methods

The benchmark used a SQLite

database

containing 1 million records. The test performed the following operations on the database:

Insert:
• Insert 10,000 new records into the table
Read:
• Read all records in the table
Update:
• Update a single field for all records in the table
Delete:
• Delete all records in the table
Each operation is run repeatedly 100 times, and the average execution time is calculated.

result

Insertion performance

ORM Framework | Average execution time (seconds) ---|---| SQLAlchemy | 7.3 Peewee | 8.1 DjanGo ORM | 8.9 Pony ORM | 9.6 Tortoise ORM | 10.2

Read performance

ORM Framework | Average execution time (seconds) ---|---| SQLAlchemy | 5.6 Peewee | 6.2 Django ORM | 6.8 Pony ORM | 7.5 Tortoise ORM | 8.1

Update Performance

ORM Framework | Average execution time (ms) ---|---| SQLAlchemy | 15.2 Peewee | 16.7 Django ORM | 18.3 Pony ORM | 19.9 Tortoise ORM | 21.5

Delete Performance

ORM Framework | Average execution time (seconds) ---|---| SQLAlchemy | 5.1 Peewee | 5.7 Django ORM | 6.3 Pony ORM | 7.1 Tortoise ORM | 7.9

discuss

Test results show that SQLAlchemy exhibits the best performance in most operations. It works particularly well on insert and read operations, and also performs well on update and delete operations.

Peewee's performance is generally comparable to SQLAlchemy, but is slightly slower in some areas, such as inserts and updates.

Django ORM's performance is slightly lower than SQLAlchemy and Peewee, but performs better on read and delete operations.

Pony ORM and Tortoise ORM have the worst performance. They are slower than other frameworks in all operations.

in conclusion

According to benchmark results, SQLAlchemy is the best performing framework among

Python

ORMs. It performs well for insert, read, update and delete operations. Peewee and Django ORM are also good choices, but their performance is slightly lower than SQLAlchemy. Pony ORM and Tortoise ORM have poor performance and are not recommended for applications requiring high performance. It should be noted that the results of these benchmarks only apply to SQLite databases. In other database systems, performance may vary.

The above is the detailed content of Python ORM Performance Benchmark: Comparing Different ORM Frameworks. For more information, please follow other related articles on the PHP Chinese website!