EdgeDB 1.0 Alpha 1

In this post, the author presents benchmarks comparing the performance of different data access methods in Python applications. The methods tested include Django ORM, SQLAlchemy, MongoDB, PostgreSQL with psycopg2 and asyncpg, and EdgeDB. The results show that while some methods perform better than others, the overall performance is comparable across all tested methods. The author also provides a detailed walkthrough of how to use each method in practice, including sample code snippets for each one. This makes it easier for readers to understand how these different data access methods work and how they can be used effectively in their own Python applications. Finally, the author discusses some potential improvements that could be made to further optimize performance with certain methods, such as using more efficient data encodings or fine-tuning query execution plans. This suggests that there is still room for improvement when it comes to maximizing the efficiency of data access operations in Python applications. Overall, this post provides valuable insights into the strengths and weaknesses of various data access methods in Python, which can help developers make more informed decisions about which method to use in their own projects.