Building a Low‑Code Platform: Architecture, Multi‑DataSource & Script Engine

What is a Low‑Code Platform

A low‑code platform differs from traditional code generators by providing a visual, flexible, and automated development environment that minimizes hand‑coding through drag‑and‑drop UI, real‑time preview, backend APIs, data storage, and permission control.

Core Functions of an Ideal Low‑Code Platform

Drag‑and‑drop UI components

Real‑time preview

Backend interface and data storage

Permission control

Typical Classification of Low‑Code Platforms

Platforms are often categorized by target audience (low‑code vs. no‑code), technology (model‑driven vs. form‑driven), and company nature (integrated vendors vs. independent vendors). From a user‑need perspective they fall into four types: scenario‑application, product‑development, platform‑ecosystem, and technology‑enablement.

Key Technologies

The essential technical pillars are data security, interface integration, data modeling, and visualization. Different platform types emphasize different aspects, such as visualization for business‑application platforms and workflow management for product‑development platforms.

EasyPaaS Low‑Code Platform Overview

EasyPaaS is an industry‑specific low‑code platform for logistics, offering visual form design, dashboards, statistical reports, and system integration. It supports major customers such as Yinde Gas, Yili, COFCO, and others, enabling rapid development of non‑core logistics functions.

Core Components of the Platform

Modular design – independent components like data source management, business forms, dashboards, report parsing, and data interfaces.

Service‑oriented architecture – encapsulated services with standardized APIs for high flexibility and extensibility.

Data management – data collection, processing, consistency checks, storage, and security.

Low‑code development – graphical UI, pre‑built components, script parsing, and template rendering for complex logic.

Open integration – standardized data interfaces for seamless external system connectivity.

Multi‑DataSource Management

Supporting heterogeneous databases (MySQL, SQLServer, TiDB, Oracle, PostgreSQL, MariaDB, DB2, HSQLDB, H2, 达梦, 人大金仓, openGauss, GaussDB) requires a flexible data access layer. The design uses JDBC’s standard interfaces (DataSource, XADataSource) and Spring JDBC wrappers to create and switch connection pools dynamically based on a DataSourceMap keyed by user‑defined codes.

Dynamic API Engine

The engine abstracts CRUD operations (create, read, update, delete, import, export) into a single endpoint that receives a modelId, retrieves corresponding metadata, builds parameterized SQL, and executes it securely. Metadata defines entities, attributes, relationships, and business rules, enabling automatic form generation and data handling without custom code.

Low‑Code Script Engine

Beyond the six basic CRUD actions, custom logic (approval, alerts, recalculation, push) requires a script engine. EasyPaaS chose Groovy for its JVM compatibility, concise syntax, dynamic typing, and DSL friendliness. The engine includes a sandbox to block dangerous commands, restrict permissions, and enforce execution time limits.

Script Debugging

Debugging is achieved without blocking the main thread by instrumenting compiled bytecode via Groovy’s AST transformation. Hook methods collect variable states at breakpoints and send them to the client through WebSocket, providing a lightweight, non‑intrusive debugging experience.

Conclusion

Low‑code platforms represent a shift in software development, offering visual tools and pre‑built components that boost efficiency and lower technical barriers. This article covered the platform’s concept, classification, core components, technology stack, multi‑data‑source handling, API engine, script engine, and debugging techniques, using EasyPaaS as a concrete case study.