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What is SQLAlchemy?

SQLAlchemy is a powerful Python library that functions as both a toolkit for SQL and an object-relational mapper, giving developers the ability to leverage SQL's full potential with remarkable adaptability. As SQL databases grow in size and performance demands, they often shift away from being mere collections of objects; similarly, emphasizing abstraction can cause these object collections to lose their traditional structure of tables and rows. SQLAlchemy aims to reconcile these contrasting ideas effectively. It perceives the database not just as a compilation of tables, but as a relational algebra engine, allowing for the selection of rows from tables, joins, and a variety of select statements that can be combined into more sophisticated queries. The expression language of SQLAlchemy is founded on this principle, significantly enhancing its capabilities. Furthermore, SQLAlchemy is well-known for its optional object-relational mapper (ORM) feature, which applies the data mapper pattern and offers a solid framework for seamless database interactions. This combination of functionalities positions SQLAlchemy as an adaptable tool suited for both straightforward and complex database operations, ensuring that developers can efficiently manage their data needs. Ultimately, SQLAlchemy empowers users to interact with databases in a way that is both intuitive and effective.

What is PostgreSQL?

PostgreSQL is a robust and well-established open-source object-relational database system that has been under continuous development for over thirty years, earning a strong reputation for its dependability, rich features, and exceptional performance. The official documentation provides thorough resources for both installation and usage, making it an essential reference for newcomers and seasoned users alike. Moreover, the vibrant open-source community supports numerous forums and platforms where enthusiasts can deepen their understanding of PostgreSQL, explore its capabilities, and discover job openings in the field. Participating in this community can greatly enrich your knowledge while strengthening your ties to the PostgreSQL network. Recently, the PostgreSQL Global Development Group revealed updates for all currently supported versions, including 15.1, 14.6, 13.9, 12.13, 11.18, and 10.23, which fix 25 bugs reported in recent months. It is important to note that this update represents the final release for PostgreSQL 10, which will no longer receive any security patches or bug fixes moving forward. Therefore, if you are still using PostgreSQL 10 in a production environment, it is strongly advised to organize an upgrade to a newer version to maintain support and security. Transitioning to a more recent version will not only help safeguard your data but also enable you to benefit from the latest features and enhancements introduced in newer updates. Furthermore, keeping your database system up-to-date can significantly improve overall performance and provide better compatibility with modern applications.

Media

Media

Integrations Supported

Acryl Data
Alembic
AppSignal
DataHub
Hue
OpenMetadata
Timbr.ai

Integrations Supported

Acryl Data
Alembic
AppSignal
DataHub
Hue
OpenMetadata
Timbr.ai
Airweave
Cacher
DeZign for Databases
Ekinox
Feathery
Idealogic
Lemma
Nodewood
Ploi
Style Intelligence
Toucan
UBOS

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Free, open-source software

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

SQLAlchemy

Company Location

United States

Company Website

www.sqlalchemy.org

Company Facts

Organization Name

PostgreSQL Global Development Group

Company Location

United States

Company Website

www.postgresql.org

Categories and Features

Database

Not specified

Categories and Features

Relational Database

ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support

SQL Databases

Not specified

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