Liquibase VS SQLAlchemy

As far as keeping track of domain changes you can store DDL files in version control like you mention or use tools like Flyway (https://flywaydb.org) or Liquidbase (https://liquibase.org) which takes care of database migrations. Source: about 2 years ago

I just use SQL directly (or something like JOOQ). For database migrations I use Liquibase. Source: about 2 years ago

Regarding the migrations, there are tools such as https://liquibase.org/ or FlyAway that handle this. Heck, you can even use an ORM that has a migration baked-in but that defeats the purpose of having the migrations in a separate project. Source: about 2 years ago

I've trialled schemachange and liquibase which are change script based tools. I've ruled out a whole load of other tools that are either change script based tools or don't support Snowflake, including the following:. Source: about 2 years ago

Nowadays I prefer to automate database updates and deployment, using Liquibase and its relational database vendor agnostic syntax for that. Especially on production systems. But on local dev environments, I can still use the occasional SQL in a pinch. Source: over 2 years ago

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 / 12 months ago

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