Real-time Computing Platform
It offers a fully visual, user-friendly, high-throughput, highly fault-tolerant, one-stop streaming data computation and processing platform. It supports SQL for real-time data cleaning, data analysis, and data synchronization, along with comprehensive monitoring mechanisms to ensure the accuracy of stream processing. It can support various enterprise real-time data processing scenarios such as the construction of real-time enterprise data warehouses, real-time data dashboards, real-time reporting, and more.
Product Features
Powerful Real-time Processing Capabilities
Tasks support million-level throughput with second-level latency. Automatic fault tolerance ensures high availability, and a single cluster can scale to thousands of nodes.
Data Security
A comprehensive message tracking framework and sophisticated transactional processing ensure that data computations are neither duplicated nor lost.
One-Stop Managed Service Capabilities
One-stop, fully managed streaming data processing capabilities, supporting full-link streaming data computation, as well as monitoring and alerting for task health.
Rich and Flexible
Offers job development through SQL and JAR upload methods; provides custom UDF function capabilities, supporting horizontal and vertical configuration adjustments for cluster task resources.
Rich and Flexible
Provides SQL-based data analysis and processing capabilities, lowering the barrier for streaming data analysis and processing.
Comprehensive Monitoring
Offers comprehensive task operation and maintenance monitoring functions, enabling timely warnings and adjustments to the health status of tasks.
Function Overview
Application Scenarios
Real-time Data Warehouse Construction
The real-time computing platform is used to clean, merge, structure, compute, and layer model data generated during business operations. The real-time computation results are output and stored in the analytical database Keen ADB, providing service support for applications and being suitable for the construction of enterprise real-time data warehouses.
Real-time Data Analysis/Real-time Metrics Monitoring
The real-time computing platform continuously computes and writes user data collected from the frontend into a message queue, and continuously outputs the computation results to the enterprise's real-time data dashboard for real-time display and tracking of sales GMV. This is applicable to enterprise real-time data dashboards, real-time risk control systems, vehicle anomaly monitoring, and industrial equipment anomaly detection.
Real-time Recommendations
By computing relevant business metrics in real-time and integrating real-time business data, the platform achieves near-real-time data flow of business data. Combined with actual business production scenarios, it enables real-time business dashboard analysis and monitoring, supporting enterprises in real-time operations, analysis, and decision-making. This is suitable for real-time recommendations, advertising placements, and geographical location analysis.