1. Project Overview

link-up

Enterprise-Grade Data Synchronization Tool

LinkUp is a ready-to-use data synchronization tool deeply integrated with Apache SeaTunnel. It provides end-to-end capabilities ranging from automatic table creation and task scheduling to log monitoring. Its intuitive interface makes it easy for even non-technical users to get started.

2. Open Source License

Licensed under Apache-2.0

3. Screenshots

Partial Screenshots

Data Source Management

  

Data Synchronization

  

Execution History

Task Operations

Resource Monitoring

4. Feature Overview

A ready-to-use data synchronization tool! Deeply integrated with the Apache SeaTunnel core engine, it combines simple visual operations with compatibility for 20 data sources. Supports single-table synchronization and automatic table creation, along with flexible task scheduling, real-time resource monitoring, and comprehensive log viewing. With millisecond-level response times and 99.9% operational stability, data synchronization is effortless from start to finish.

Project characteristics

1. This is a lightweight, high-concurrency data synchronization tool designed specifically to simplify deployment and operations. There is no need to install SeaTunnel, big data clusters, Spark, or Flink, nor configure complex modules such as users, permissions, and roles.
2. The entire system consists of only three core components: one backend JAR package, Nginx, and a MySQL database. This minimalist architecture delivers high-performance synchronization with tens of thousands of queries per second (QPS) and has been running stably in production environments for two years.
3. The project excels at resource management. Even when synchronizing hundreds of millions of records, memory usage remains below 1 GB, ensuring precise memory management. During synchronization, it supports real-time JVM resource monitoring with built-in metric collection and visualization interfaces. No additional integration with Grafana or Prometheus is required. Everything works out of the box.

5. Tech Stack

Data Source Compatibility (14 Supported)

Source	Supported?	Sink	Supported?
MySQL	Support	MySQL	Support
Oracle	Support	Oracle	Support
PostgreSql	Support	PostgreSql	Support
SQLServer	Support	SQLServer	Support
SQLITE	Support	SQLITE	Support
MongoDB	Support	MongoDB	Support
DB2	Support	DB2	Support
Cache	Support	Cache	Support
Elasticsearch	Support	Elasticsearch	Support
OpenGauss	Support	OpenGauss	Support
Doris	Support	Doris	Support
HIVE	Support	HIVE	Support
StarRocks	Support	StarRocks	Support
ClickHouse	Support	ClickHouse	Support

• Support for additional databases will be added gradually. Stay tuned!

Technical architecture

Core Framework

• Back-end Architecture
  Spring Boot 2.7
• Data storage
  MySQL 8.0
• Front-end Technology
  React + node16.2