Latest Live Event
How to evaluate database expressions, basic concepts of JIT technology and why JIT is needed, how to use Apache Arrow/Gandiva's JIT technology to accelerate calculations, etc.
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Latest Customer Case
Yanhuang helps ZPMC achieve overall unified management through the collection and centralized storage of multi-source heterogeneous data
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Latest Cooperation Case
China Construction Bank uses Yanhuang Data Platform as an enhancement tool for multi-source heterogeneous log data capabilities
View More →Latest Live Event
How to evaluate database expressions, basic concepts of JIT technology and why JIT is needed, how to use Apache Arrow/Gandiva's JIT technology to accelerate calculations, etc.
View More →Latest Customer Case
Yanhuang helps ZPMC achieve overall unified management through the collection and centralized storage of multi-source heterogeneous data
View More →Latest Cooperation Case
China Construction Bank uses Yanhuang Data Platform as an enhancement tool for multi-source heterogeneous log data capabilities
View More →
Our Advantages
Schema-on-Read Computation Engine
Easily handle heterogeneous data and changing data analysis requirements using the schema-on-read computation engine to quickly complete dynamic modeling; combined with the schema-on-write computation engine to balance flexibility and efficiency of data analysis requirements
Integration with Multi-Source Heterogeneous Data
Rapidly complete data collection of various structured, semi-structured, and unstructured text data through multiple data ingestion channels and self-developed data collection tool DataScale
All-in-One Data Analytics Platform
Provides a series of services including data import, storage, analysis, visualization, and alerting, comprehensively covering various data analysis scenarios
Comprehensive Support for Domestic Innovation
Core components of the platform are all independently developed innovations, fully compatible with the domestic innovation system
Schema-on-Read Computation Engine
Easily handle heterogeneous data and changing data analysis requirements using the schema-on-read computation engine to quickly complete dynamic modeling; combined with the schema-on-write computation engine to balance flexibility and efficiency of data analysis requirements
Integration with Multi-Source Heterogeneous Data
Rapidly complete data collection of various structured, semi-structured, and unstructured text data through multiple data ingestion channels and self-developed data collection tool DataScale
All-in-One Data Analytics Platform
Provides a series of services including data import, storage, analysis, visualization, and alerting, comprehensively covering various data analysis scenarios
Comprehensive Support for Domestic Innovation
Core components of the platform are all independently developed innovations, fully compatible with the domestic innovation system
Application Scenarios
Operations Support
- Business Process Mining
- Customer Experience Optimization
- Transaction Process Analysis
- User Profiling & Proactive Marketing
- Service & Satisfaction Management
- Digital Marketing Optimization
IT Support
- Infrastructure Monitoring/Alerts
- Application Lifecycle Analysis
- Business Service Quality Monitoring
- Application Call Chain Analysis & Troubleshooting
- Ad-Hoc Customized Management
Security Management
- Security Situation Awareness
- Threat Detection & Attack Path Analysis
- Incident Investigation & Forensics
- SOC Data Analysis & Support
- Security Compliance Support
IoT Applications
- Real-Time Terminal Monitoring
- Industrial Control Security Analysis
- Maintenance Cycle Prediction Analysis
- Device Management
Experience Yanhuang Data Platform Now
Schema-on-ReadData BackupCluster DeploymentPermission ManagementAlerts & ApplicationsExperience Yanhuang Data Platform Now
Schema-on-ReadData BackupCluster DeploymentPermission ManagementAlerts & ApplicationsUser Reviews
Feng Guo
⭐⭐⭐⭐⭐
Co-founder & CTO of DaoCloud
The existing data processing capabilities of enterprises, which are mainly structured, can hardly meet the data requirements of current asset analysis. The traditional data analysis processing method based on strong preset models must turn to weak model or model-free data analysis mode. Yanhuang Data's products can cope well with the above two new challenges. On the one hand, Yanhuang Data's products can simultaneously support the processing of structured data and unstructured data, especially having a very good analysis effect on unstructured text data pools. On the other hand, Yanhuang Data's read-time modeling mechanism also perfectly solves the agility requirements of front-end business.
Feng Qin
⭐⭐⭐⭐⭐
Shanghai Information Security Association Expert
Using Yanhuang Data can improve the work efficiency of our customers. In the entire process of data operation and analysis, Yanhuang Data can help users establish multi-source heterogeneous data deconstruction models, which is of great help for users to quickly and extremely reflect the results of data analysis.
Qian Chen
⭐⭐⭐⭐⭐
eBao Shanghai Public Cloud Operation Leader
Yanhuang Data Platform helps us collect work logs from eBao's public cloud workstations around the world. The biggest advantage of using Yanhuang Data Platform lies in its data processing and analysis capabilities, which complements our shortcomings in this area. It helps us achieve log collection of public clouds around the world, thereby helping us realize user data observability in our business.
Chaoyi Ma
⭐⭐⭐⭐⭐
Shanghai Shangyong Technology Co., Ltd. Data Mining and Modeling Expert
First, the calculation speed is fast, and various tasks can respond and present results within a few seconds. Second, the execution logic has high readability. Based on SQL syntax, it is easy for developers to get started. While being responsible for data analysis, they can also quickly understand the logic behind it. Third, Yanhuang Data Platform's functions hit the pain points in the data mining process and provide convenient functions for data extraction and feature transformation. There are many software products on the market for analyzing and presenting data, and there are various ways to store data. Yanhuang Data Platform happens to be a very good bridge between the two, which helps us use data more efficiently and create value.
Feng Guo
⭐⭐⭐⭐⭐
Co-founder & CTO of DaoCloud
The existing data processing capabilities of enterprises, which are mainly structured, can hardly meet the data requirements of current asset analysis. The traditional data analysis processing method based on strong preset models must turn to weak model or model-free data analysis mode. Yanhuang Data's products can cope well with the above two new challenges. On the one hand, Yanhuang Data's products can simultaneously support the processing of structured data and unstructured data, especially having a very good analysis effect on unstructured text data pools. On the other hand, Yanhuang Data's read-time modeling mechanism also perfectly solves the agility requirements of front-end business.
Feng Qin
⭐⭐⭐⭐⭐
Shanghai Information Security Association Expert
Using Yanhuang Data can improve the work efficiency of our customers. In the entire process of data operation and analysis, Yanhuang Data can help users establish multi-source heterogeneous data deconstruction models, which is of great help for users to quickly and extremely reflect the results of data analysis.
Qian Chen
⭐⭐⭐⭐⭐
eBao Shanghai Public Cloud Operation Leader
Yanhuang Data Platform helps us collect work logs from eBao's public cloud workstations around the world. The biggest advantage of using Yanhuang Data Platform lies in its data processing and analysis capabilities, which complements our shortcomings in this area. It helps us achieve log collection of public clouds around the world, thereby helping us realize user data observability in our business.
Chaoyi Ma
⭐⭐⭐⭐⭐
Shanghai Shangyong Technology Co., Ltd. Data Mining and Modeling Expert
First, the calculation speed is fast, and various tasks can respond and present results within a few seconds. Second, the execution logic has high readability. Based on SQL syntax, it is easy for developers to get started. While being responsible for data analysis, they can also quickly understand the logic behind it. Third, Yanhuang Data Platform's functions hit the pain points in the data mining process and provide convenient functions for data extraction and feature transformation. There are many software products on the market for analyzing and presenting data, and there are various ways to store data. Yanhuang Data Platform happens to be a very good bridge between the two, which helps us use data more efficiently and create value.
