KaiwuDB Data Service Platform(KDP)
An AIoT data service platform bulit on distributed multi-model database KaiwuDB, offering multi-type data storage, data processing, data governance, data analysis and data asset management.
An AIoT data asset management platform
KaiwuDB Data Service Platform(KDP) is an AIoT data service platform, which bulit on our distributed multi-model database KaiwuDB. It offers services such as multi-type data storage, data processing, data lake, data lakehouse, data governance, data analysis and data asset management.
KDP complies with the DCMM data management standards. Starting from a scenario‑based implementation perspective, it meets the diverse data needs of enterprises and public institutions, including data lake, data warehouse, data governance, data analysis, and data asset management. By establishing a brand‑new data asset management center, it integrates full capabilities in data governance, data openness and circulation, and data asset services. With KDP, we help our enterprise customers to unlock the value of data and promote digital transformation.
Advanced Features
Multi-model Data Integration
Supports efficient integration of structured, unstructured and semi-structured data, realizing one-stop data integration and unified governance across-systems or across-platforms.
Compatible with Multiple Protocols
Covers mainstream industrial protocols (e.g. MQTT, Modbus) and consumer-grade device protocols, enabling seamless access and real-time data collection of massive devices, making IoT integration easier and accessible.
Multi-dimensional Data Security Assurance
Provides lifecycle security protection measures, including transmission encryption, storage isolation and permission control, supports national cryptographic algorithms and compliance auditing, ensuring data privacy and business compliance.
Multi-model Data Storage & Real-time Lake-warehouse Management
Integrates multi-model data engines such as relational, time-series and graph engines, supports PB-level real-time data writing into data lakes and warehouses, and achieves batch-stream integrated analysis and low-latency query.
Efficient Time-series Data Governance
For time-series scenarios such as equipment monitoring and sensor data collection, KDP provides intelligent down-sampling, anomaly detection and compressed storage, optimizing storage costs and query performance.
Support Quick Construction of Time-series Models
With low-code modeling tools and a pre-trained time-series model library built in, KDP supports a quick development of scenario-based AI applications to empower predictive maintenance and energy consumption optimization.
Full-link Knowledge Graph Construction
Automatically builds enterprise-level knowledge graphs through entity recognition, relation extraction and graph computing engines, supporting intelligent search, root cause analysis(RCA) and complex correlation analysis scenarios.
AI Predictive Analysis
Based on machine learning(ML) and deep learning algorithms, KDP conducts trend prediction and pattern mining on historical data, thus empower business decisions such as supply chain optimization and equipment fault predictions.
Visualized Data Asset Management
Provides drag-and-drop data dashboard and self-service analysis tools. Combined with data catalog, quality monitoring and value evaluation systems, KDP realizes full-lifecycle operation of data assets.