This Tool Turns Your SQL Database Into a Backend Instantly (Directus)

Highlights

• Directus connects directly to Postgres, MySQL, or Oracle databases to generate REST and GraphQL APIs without requiring migrations or schema rebuilding.

• The platform provides field-level permissions, real-time subscriptions, file handling, and a full admin UI while remaining a non-intrusive layer over existing SQL data.

• A working order management application with data storage, permissions, and automated email notifications can be built from a blank canvas in approximately one minute.

• Built-in automation flows allow users to trigger operations like sending emails via Mailpit by hooking into events such as new item creation in a collection.

• Directus differentiates itself from code-first tools like Strapi and Payload by using a database-first model that eliminates the need to recreate existing schemas in code.

• Open-source deployment is supported via Docker, making the tool suitable for SaaS backends, internal tools, and modernizing legacy systems without data lock-in.

Timeline

1. 00:00 - 01:20

   The repetitive nature of backend development

   Standard backend tasks often involve wiring the same code repeatedly rather than solving unique problems. By pointing a single tool at an existing database, developers gain instant access to REST and GraphQL APIs, field-level permissions, and real-time subscriptions. This approach ensures the database remains the primary engine rather than a duplicate layer, preventing the common issue of data fragmentation.

   • Development time is often consumed by rebuilding standard features like CRUD, authentication, and admin panels.
   • Directus functions as a real-time API and dashboard layer for managing SQL database content.
   • Direct connection to Postgres, MySQL, or Oracle avoids the overhead of manual migrations or schema duplication.
2. 01:20 - 02:45

   Building an order management system from scratch

   Starting from a blank canvas, an order management application is constructed by defining a collection and its associated details like customer info and order status. This process eliminates the need to switch between tabs for writing migrations or SQL commands. The visual interface allows for manual field additions, such as product keys and values, which map directly to the underlying database structure.

   • Collections and fields are created visually within the interface without writing SQL or schema files.
   • Data fields such as customer name, email, and product dropdowns define the structure of the stored information.
   • New data entries are added and saved to the database immediately through a simplified content view.
3. 02:45 - 04:38

   Configuring permissions and automation flows

   Security is established by modifying roles, such as setting a public role to read-only for specific collections while disabling create, update, and delete functions. Automation is achieved by building flows that hook into the database lifecycle; for example, a new order entry triggers an operation to pull data and send a notification email. This logic requires no backend coding, combining database management with capabilities similar to visual automation tools like Zapier or N8N.

   • Public access is restricted by toggling specific CRUD permissions for each data collection.
   • Automation flows trigger actions, such as sending emails, based on specific events like item creation.
   • Integration with tools like Mailpit facilitates testing of automated email functions within a Docker environment.
4. 04:38 - 06:42

   Comparison with other backend platforms

   Directus is categorized as an open-source data platform that sits on top of, rather than beside, a SQL database. This model is useful for modernizing old systems or building headless CMS setups because the original SQL remains intact. While other tools require rebuilding structures in code, this method utilizes the existing database as the engine, providing a ready-made admin workspace and robust permission controls without additional plugins.

   • Database-first architecture prevents vendor lock-in and works effectively with legacy systems.
   • Strapi and Payload prioritize code-first schemas, whereas Directus connects to schemas that already exist.
   • Hasura focuses on GraphQL performance while Directus provides a wider feature set including file management and admin workspaces.
5. 06:42 - 07:47

   Selection criteria and technical trade-offs

   The platform excels in speed and UI clarity, though users must manage their own infrastructure when self-hosting and navigate documentation that may be incomplete for complex setups. It is specifically recommended for developers tired of rebuilding standard backends who want to keep full control of their data. Conversely, projects requiring everything to be defined in code from the start might find tools like Payload more appropriate for their specific workflow.

   • Trade-offs include time-intensive advanced flow configurations and the responsibility of managing self-hosted infrastructure.
   • Directus is less suitable for large monorepos with strict TypeScript requirements where code-defined schemas are preferred.
   • The tool offers high value for projects with existing SQL data or those seeking to reduce maintenance on basic backends.