Inheriting a sprawling database with hundreds of undocumented tables usually means weeks of guesswork, unless you open it in Azimutt to visually map schemas, trace relationships, and inspect live rows in one workspace. Instead of dumping every table onto a cluttered canvas that crashes your browser, the visual explorer starts clean so you can search across entity names, column types, and SQL comments to reveal only the tables relevant to your investigation. Clicking foreign-key or primary-key indicators expands incoming and outgoing relations step by step, while the graph path-finder automatically calculates the shortest join route between any two distant entities. When debugging production issues or answering support tickets, you can query live records across PostgreSQL, MySQL, MariaDB, SQL Server, Oracle, SQLite, MongoDB, Couchbase, Snowflake, and BigQuery, then click directly through foreign keys in the result rows to follow data lineage visually. Architects and developers also design new schemas at typing speed using Azimutt Markup Language (AML), attach contextual markdown notes, tags, and memos to saved layouts for team onboarding, and run automated schema analysis that flags missing primary keys, implicit foreign keys, inconsistent column types, and oversized tables. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.