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OData VS SQLAlchemy

Compare OData VS SQLAlchemy and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

OData logo OData

OData, short for Open Data Protocol, is an open protocol to allow the creation and consumption of queryable and interoperable RESTful APIs in a simple and standard way.

SQLAlchemy logo SQLAlchemy

SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL.
  • OData Landing page
    Landing page //
    2023-02-21
  • SQLAlchemy Landing page
    Landing page //
    2023-08-01

OData videos

+ Add

Introduction To OData

More videos:

  • Review - Webinar: OData and ASP.NET Core 3.1 - State of the Union
  • Review - Enabling OData in ASP.NET Core 3.1 (Experimental)

SQLAlchemy videos

+ Add

SQLAlchemy ORM for Beginners

More videos:

  • Review - SQLAlchemy: Connecting to a database
  • Review - Mike Bayer: Introduction to SQLAlchemy - PyCon 2014

Category Popularity

0-100% (relative to OData and SQLAlchemy)

OData

SQLAlchemy

API Tools
100 100%
API Tools
0% 0
Web Frameworks
0 0%
Web Frameworks
100% 100
Developer Tools
100 100%
Developer Tools
0% 0
Databases
0 0%
Databases
100% 100

User comments

Share your experience with using OData and SQLAlchemy. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, SQLAlchemy seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

OData mentions (0)

We have not tracked any mentions of OData yet. Tracking of OData recommendations started around Mar 2021.

SQLAlchemy mentions (2)

  • Speak Your Queries: How Langchain Lets You Chat with Your Database
    Under the hood, LangChain works with SQLAlchemy to connect to various types of databases. This means it can work with many popular databases, like MS SQL, MySQL, MariaDB, PostgreSQL, Oracle SQL, and SQLite. To learn more about connecting LangChain to your specific database, you can check the SQLAlchemy documentation for helpful information and requirements. - Source: dev.to / about 1 year ago
  • My favorite Python packages!
    SQLModel is a library for interacting with SQL databases from Python code, using Python objects. It is designed to be intuitive, easy-to-use, highly compatible, and robust. It is powered by Pydantic and SQLAlchemy and relies on Python type annotations for maximum simplicity. The key features are: it's intuitive to write and use, highly compatible, extensible, and minimizes code duplication. The library does a lot... - Source: dev.to / over 1 year ago

What are some alternatives?

When comparing OData and SQLAlchemy, you can also consider the following products

GraphQL - GraphQL is a data query language and runtime to request and deliver data to mobile and web apps.

Hibernate - Hibernate an open source Java persistence framework project.

JsonAPI - Application and Data, Languages & Frameworks, and Query Languages

Sequelize - Provides access to a MySQL database by mapping database entries to objects and vice-versa.

Django REST framework - Django REST framework is a toolkit for building web APIs.

Entity Framework - See Comparison of Entity Framework vs NHibernate.

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