Schema Explorer
Browse the complete object hierarchy of any database on a connection.
The full hierarchy
Pick a connection, then a database, and browse every object with its columns: tables, views, materialized views, collections, indexes, procedures, functions, and sequences — with a per-type count and instant filtering.
Every engine
Relational engines expose schemas, routines and sequences; MongoDB unions fields across a sample of documents (so the field list is representative, not just the first doc) and lists collection indexes. Use the database picker to inspect databases beyond the connection’s default.
Show DDL
Script any object back to its exact CREATE statement with one click — a full CREATE TABLE (columns, defaults, primary keys, constraints, and indexes), plus views, indexes, and stored routines. The DDL comes straight from the engine’s own catalog, so it’s authoritative rather than reconstructed, and there’s a copy button for migrations, code review, or recreating the object elsewhere. Available on PostgreSQL, MySQL, and MariaDB, and it works the same through the on-prem agent.
Manage objects
With query-execution permission you can rename an object inline or drop it (drop requires typing the object’s name to confirm), and on a table you can add / rename / drop columns and create indexes — pick the columns, mark it UNIQUE, done. Each action runs a single bounded, engine-correct statement (DROP is RESTRICT, never cascading; types and DEFAULT expressions are validated against injection) and is fully audited, so schema changes stay deliberate and traceable. Supported for PostgreSQL tables/views/materialized views/indexes/sequences and MySQL/MariaDB tables; broader authoring stays in the query console.
Try it yourself
Open the console and put this into practice.