Platform · Data and Integrations
Connect the data that already exists. Build what comes next.
Connect PostgreSQL, MySQL, MariaDB, SQL Server, Oracle and SQLite; model relationships and expose data through APIs, GraphQL and access keys.

DATA WITHOUT ISLANDS
A common model. Six engines. Multiple ways to integrate.
Register a connection once and use it in the template, screens, APIs, scripts, workflows and reports.
Choose the right basis for each context.
Connect PostgreSQL, MySQL, MariaDB, Microsoft SQL Server, Oracle or SQLite, test the connection and maintain the credentials associated with the application.
Tables and relationships become a living model.
Create or import tables, set keys, indexes, physical or virtual relationships, enums and friendly names without losing connection to the real database.
Display data and operations with control.
Generate CRUD, filters, sorting and pagination from the template or compose SQL pipelines, HTTP calls and scripts.
Python, HTTP and SQL within the platform.
Write Python scripts with dependencies, files, secrets and SDK; consume external services or run logic with data.
Delimited keys and public operations when necessary.
Create API keys with scope per application and endpoint, revoke accesses and explicitly choose operations that may be public.
Integration as product capacity, not as parallel design.
KEPLIN works with existing architecture and creates a common contract for applications, processes and services.