schemaspy VS SchemaCrawler

You might try https://schemaspy.org/ - it generates a website with ER diagrams that only go one or two relationships out, but they have clickable table names to get to the next diagram

I had the same problem when i started my job. I used SchemaSpy to generate an html with all of metadata and ERD diagrams as a reference point. Then i used dbt to connect to the database and used dbt to document the table and column that i have worked on. It takes time to document but it's worth it if you company don't have your database documented yet.

SchemaSpy is a standalone application that connects to the database, scans its tables and schemas, and generated nicely composed HTML documentation. You can check out an example sample by this link but I'm showing you just one screenshot to clarify my point.

I like https://schemaspy.org/

I like the diagrams and reports SchemaSpy generates. If you are using a DBMS that allows setting comments to tables, views, columns (and other objects), those will be included and that makes those reports even more helpful

https://schemaspy.org/ creates nice looking diagrams.

Grab the Python script of "markdown.py" from SchemaCrawler's GitHub repository, and save it in your local directory.

Take a look at SchemaCrawler, which extends functionality by connecting to your database server and generating a PlantUML schema diagram from it using this technique.

You can save the output with an additional --output-file /share/schema.txt argument, and the file will be created in your local directory. schemacrawler help will give you more information, as well as the SchemaCrawler website. Now you are ready to connect to your own database. If you need help on how to construct the connection URL, take a look at ing-bank/cassandra-jdbc-wrapper.

Try it out. Make sure that you have Docker installed on your system, or download SchemaCrawler. Download a sample SQLite database called "chinook-database-2.0.1.sqlite" into your current directory.

schemacrawler website