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peewee

50
105
+ 1
19
SQLAlchemy

992
506
+ 1
7
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SQLAlchemy vs peewee: What are the differences?

SQLAlchemy and peewee are Python-based Object-Relational Mapping (ORM) libraries that facilitate database interactions. Let's explore the key differences between them.

  1. Code Complexity: SQLAlchemy offers a more complex and advanced set of features, including a wide range of query options, relationship models, and an expressive expression language. In contrast, peewee aims to be a simplified ORM tool with a smaller feature set, resulting in a less complex and more intuitive usage experience.

  2. Database Support: SQLAlchemy provides support for a wide range of database systems, including popular ones like PostgreSQL, MySQL, SQLite, Oracle, and others. Peewee, on the other hand, offers support for fewer database systems, primarily focusing on SQLite, MySQL, and PostgreSQL.

  3. ORM Philosophy: SQLAlchemy uses a highly flexible and customizable ORM philosophy, allowing developers to fine-tune and customize every aspect of the ORM process, including the way objects are mapped to database tables, query generation, and more. In contrast, peewee follows a simpler ORM philosophy with fewer customization options, offering a more straightforward and opinionated approach to object-relational mapping.

  4. Querying and Expressions: SQLAlchemy provides a powerful and expressive querying API with advanced features like complex joins, subqueries, and a rich set of expression tools for complex filtering and data manipulation. Peewee, while also offering querying capabilities, has a more limited set of features and a simpler syntax for basic query operations.

  5. Documentation and Community: SQLAlchemy has been around for a longer time and has built a larger user community, resulting in comprehensive documentation, tutorials, and a rich ecosystem of third-party extensions and plugins. Peewee, being a younger library, may have a smaller community and fewer resources available, although it still provides quality documentation and active development.

  6. Integration and Compatibility: SQLAlchemy integrates easily with other Python libraries and frameworks, such as Flask, Django, and others, allowing for seamless integration into existing projects. Peewee, while also compatible with popular frameworks, may require additional configuration or have certain limitations in terms of integration options.

In summary, SQLAlchemy offers a more feature-rich and complex ORM solution with extensive flexibility and support for multiple databases, while peewee aims for simplicity, ease of use, and a smaller feature set focused primarily on SQLite, MySQL, and PostgreSQL.

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Pros of peewee
Pros of SQLAlchemy
  • 7
    Easy to start
  • 4
    Free
  • 4
    High Performance
  • 4
    Open Source
  • 7
    Open Source

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Cons of peewee
Cons of SQLAlchemy
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    • 2
      Documentation

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    What is peewee?

    A small, expressive orm, written in python (2.6+, 3.2+), with built-in support for sqlite, mysql and postgresql and special extensions like hstore.

    What is SQLAlchemy?

    SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL.

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    What companies use peewee?
    What companies use SQLAlchemy?
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    What tools integrate with peewee?
    What tools integrate with SQLAlchemy?

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    What are some alternatives to peewee and SQLAlchemy?
    Django
    Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.
    MySQL
    The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
    PostgreSQL
    PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
    MongoDB
    MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
    Redis
    Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
    See all alternatives