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Why Developers Are Choosing Tortoise ORM as Python’s Modern ORM
- Tortoise ORM is an asyncio ORM for Python, inspired by Django ORM and supports traditional tabular as well as relational data efficiently.
- It supports multiple databases including SQLite, PostgreSQL, MySQL/MariaDB, and Microsoft SQL Server.
- For SQLite, MySQL, PostgreSQL, and Microsoft SQL Server, specific connection string formats are provided for configuration.
- Database creation and initialization involve using Tortoise ORM and generating schemas for the database table structure.
- Model definitions in Tortoise ORM require defining classes with specific attributes like fields and Meta options.
- Field types in Tortoise ORM include data fields and relationship fields like ForeignKeyField, OneToOneField, and ManyToManyField.
- Query operations in Tortoise ORM include methods like filter, exclude, all, first, and annotate for data retrieval.
- Specific query examples in Tortoise ORM include simple queries, range queries, and string queries based on defined models.
- Tortoise ORM is well-documented, offering detailed instructions for various operations and queries.
- Leapcell is recommended for deploying Python services, allowing development in multiple languages and flexible, cost-effective deployment options.
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