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GDPL-Datapipeline

Massive real-time data replication and exchange tools under heterogeneous database

high-performance, low-latency, secure, reliable, easy-to-use, batch flow-in-one

Demo

PRODUCT ADVANTAGES

High-performance, low-latency

Realize the Quasi-real-time Synchronization of Massive Data Between Heterogeneous Databases.

Safe and reliable

Under various extreme conditions, the system runs stably and reliably, ensures that data is not lost, supports SSL, and link security.

Easy to use

Through management interface, datapipeline is configured in 10 minutes, which is easy to use.

Massive data

All components can be scaled horizontally to support the processing of massive data.

Batch flow-in-one

Batch processing and stream processing are integrated to support full-time and incremental quasi-real-time modes.

FRAMEWORK

FUNCTION

Real-Time Interface between Heterogeneous Database

Flexible Data Filtering Transformation

Powerful monitoring and data quality assurance system

Multi-target end transmission

Dynamic bearing of massive data

Publish and subscribe messages

APPLICATION SCENARIO

Real-time Data Management
Data Subscription and Distribution
Multi-cloud Data Transmission Service

Solution

Build a real-time data management platform to help customers achieve unified management of real-time data links, improve business data demand response efficiency, reduce real-time data usage costs, and ensure real-time data business continuity.

Achievement

（1）Zero-code, 5-step configuration of multi-source heterogeneous data real-time synchronization tasks to quickly respond to business needs.

（2）Unified visual monitoring of data streams, data nodes, and system resources to improve real-time data link management capabilities.

（3）Component-level high availability, dynamic resource adjustment, to ensure data transmission performance and business continuity.

Solution

Establish a data subscription and distribution platform to help customers quickly establish data service pipelines to meet the data needs of different business scenarios and achieve high-quality, efficient, secure, and stable data circulation.

Achievement

（1）Supports ES, Kafka, Redis, and mainstream relational databases to meet the data needs of different business scenarios.

（2）Zero-code field-level data subscription for fast response to business requirements.

（3）Enterprise-level components are highly available to ensure timely and stable data distribution.

Solution

Build a multi-cloud data transmission service platform to help customers realize real-time, secure, stable, and automated migration of heterogeneous data resources between different systems in a multi-cloud environment.

Achievement

（1）Batch-stream integrated data transmission tasks to quickly respond to business requirements.

（2）4 all-in-one data consistency to provide accurate data for the business.

（3）Component-level high availability provides effective guarantee for business continuity.

SUCCESSFUL CASES

A well-known multinational retail enterprise

This project provides a datapipeline solution for an international retail enterprise. Because of its huge business volume in China, it has the characteristics of multiple data sources and multiple demand sides. Existing systems have problems such as poor real-time data transmission at the multi-target end, inconsistent source and destination data, and blocked data channels, so it is necessary to achieve high-efficiency and high-quality data connectivity and governance.

Solution

Streaming framework, second latency

Parse logs to ensure data consistency

High performance monitoring system

Customer revenue

Realize high-performance low-latency real-time data synchronization function, and ensure data consistency, simple operation, reduce operation and maintenance costs, improve team work efficiency, can support multiple data source access, improve the capacity of the data server.