CyberData

CyberData CyberData
CyberData

CyberData is a one-stop multi-cloud big data management platform developed by DataCyber, designed with a modern architecture that integrates stream-batch processing, lakehouse, and unified data and intelligence. The platform supports deployment on public clouds, private clouds, and hybrid clouds, and can process various types of structured, semi-structured, and unstructured data. By centralizing the governance of fragmented data, it enhances enterprise data productivity.

A one-stop big data intelligence R&D and governance platform from data aggregation to data services.
Product Advantages
Product Architecture
Product Features
Application Scenarios
Customer Cases
Product Advantages
One-stop Development, Full Capability Coverage

Provide one-stop data development and governance from data collection to data services, covering comprehensive capabilities including offline, real-time, lakehouse, stream and batch processing integration.

Leading Architecture and Superior Performance

Open architecture design with support for mainstream data sources and big data engines. Unified data integration, scheduling, and metadata management, supporting high availability and high throughput for large-scale enterprise lakehouse applications.

Cross-Cloud Development, Multi-Cloud Orchestration

Based on cloud neutrality, it supports unified management of big data engines across different cloud environments, enabling a single codebase and one-click deployment to multiple clouds and engines.

Secure and Compliant, Controllable Permissions

Provide multi-dimensional permission control to ensure data security and controllability. Support data masking, auditing, risk alerting to ensure the secure and compliant use of data.

Internationalization and Open Source

The basic version is open source, supports internationalization, and supports unified deployment in multiple environments and clusters, to meet the complex data usage scenarios of multinational enterprises.

Product Architecture
Product Features
Data Development

Provide one-stop data development capabilities, to support the integration of mainstream storage and computing engines, and enable easy data processing workflows through a visual interface.

Data Development

Provide one-stop data development capabilities, to support the integration of mainstream storage and computing engines, and enable easy data processing workflows through a visual interface.

Data Integration

Support for various heterogeneous data sources, synchronization of structured and unstructured data, and easy data integration through a visual wizard or script mode.

Data Integration

Support for various heterogeneous data sources, synchronization of structured and unstructured data, and easy data integration through a visual wizard or script mode.

Scheduling System

Provide scheduling services with minute-level granularity. Support for cross-cloud, cross-center, cross-cluster, and cross-system scheduling.

Scheduling System

Provide scheduling services with minute-level granularity. Support for cross-cloud, cross-center, cross-cluster, and cross-system scheduling.

Data Quality

Provide quality check, notification, and management capabilities for various heterogeneous data sources, to ensure seamless one-stop data development and governance.

Data Quality

Provide quality check, notification, and management capabilities for various heterogeneous data sources, to ensure seamless one-stop data development and governance.

Matedata System

Provide unified metadata services to manage all metadata and offer foundational support for data governance, which enables efficient management of data assets.

Matedata System

Provide unified metadata services to manage all metadata and offer foundational support for data governance, which enables efficient management of data assets.

Data Service

Provide data service capabilities to enable the full lifecycle management of service APIs, including creation, maintenance, publication, and monitoring.

Data Service

Provide data service capabilities to enable the full lifecycle management of service APIs, including creation, maintenance, publication, and monitoring.

Product Features
Data Development

Provide one-stop data development capabilities, to support the integration of mainstream storage and computing engines, and enable easy data processing workflows through a visual interface.

Data Integration

Support for various heterogeneous data sources, synchronization of structured and unstructured data, and easy data integration through a visual wizard or script mode.

Scheduling System

Provide scheduling services with minute-level granularity. Support for cross-cloud, cross-center, cross-cluster, and cross-system scheduling.

Data Quality

Provide quality check, notification, and management capabilities for various heterogeneous data sources, to ensure seamless one-stop data development and governance.

Matedata System

Provide unified metadata services to manage all metadata and offer foundational support for data governance, which enables efficient management of data assets.

Data Service

Provide data service capabilities to enable the full lifecycle management of service APIs, including creation, maintenance, publication, and monitoring.

Application Scenarios
Enterprise Digital Transformation
Real-time Platform Construction
Power Information Platform
Enterprise Digital Transformation
Enterprise Digital Transformation

Using CyberData, enterprises can rapidly achieve digital transformation. It provides comprehensive and tailored solutions for various business scenarios, enabling the digitization of core processes and systems. CyberData helps build an integrated data operation platform, driving data-driven decision-making and culture, and facilitating the intelligent digital transformation and upgrade of enterprises.

Customer Cases
A District Intelligent Integrated Data Platform

The district's integrated intelligent data platform, guided by the principles of "Comprehensive services for people, collaborative systems for governance, smart data for management, and robust platforms for support", served as the core hub for digital government and modern urban social governance. It builds systems for supply-demand matching and data governance, promoting data aggregation, enhancing data quality, unlocking data value, and strengthening data sharing. This effectively addresses issues of difficult and slow public services, enhancing convenience and satisfaction for the public.

A District Intelligent Integrated Data Platform
数新智能
A District Intelligent Integrated Data Platform

The district's integrated intelligent data platform, guided by the principles of "Comprehensive services for people, collaborative systems for governance, smart data for management, and robust platforms for support", served as the core hub for digital government and modern urban social governance. It builds systems for supply-demand matching and data governance, promoting data aggregation, enhancing data quality, unlocking data value, and strengthening data sharing. This effectively addresses issues of difficult and slow public services, enhancing convenience and satisfaction for the public.

An Energy Data Platform