The feature I like most is that it makes it easy to understand the database structure through a visual diagram. It shows all the tables, columns, and the relationships between them in one place.

In our backend architecture for the FD (Fulfillment Dashboard) project-a centralized system displaying real-time order summaries and fulfillment details for our client Dick's Sporting Goods (DKS)-we had to manage complex data models spanning both Oracle DB and PostgreSQL. What I appreciate most about SqlDBM is its browser-based reverse engineering capability. Instead of installing heavy desktop clients, our backend team could directly import existing Oracle DDL scripts (CREATE TABLE statements, foreign keys) and visually map out the target PostgreSQL schema. Having this visual blueprint made generating our Spring Data JPA entities highly predictable. Furthermore, by visually validating our foreign key constraints and planning our composite indexing strategy in a shared workspace before executing the database migrations, we prevented unindexed relational joins. This architectural visibility was a critical first step that allowed us to eventually tune our database and reduce heavy query execution times by approximately 50% under sustained client load.

I mostly use SqlDBM to learn about the databases I am working with. Since you can visualize it helps me understand how the different tables relate to one another. Which is super helpful if you're trying to learn a database you're not familiar with. Helps avoid going through many SQL files or having to ask data engineers basic questions. Great web app and it can connect to postgres, snowflake, bigquery etc.