What is RDB Gateway ?
RDB Gateway (Realtime Database Gateway) is a powerful module designed to seamlessly connect real-time data to your time-series databases. By effortlessly capturing data from diverse sources and protocols such as OPC UA/DA and Suitelink, it centralizes and writes crucial information into multiple mainstream time-series database systems, including InfluxDB, AVEVA Historian, and the AVEVA PI System.
Serving as the ultimate data channel, RDB Gateway unlocks flexible data applications to meet all your enterprise needs. It lays a rock-solid foundation for advanced secondary development, empowering your team to effortlessly perform big data analytics, data visualization, model training, in-plant AI predictive analysis, maintenance planning, and CloudOps.
Features
Flexible Data Integration
Seamlessly captures data from diverse sources like Kepware, AVEVA InTouch, CGW, and AUG, delivering high-level data integration and application flexibility.
Uninterrupted Auto-Recovery
Automatically caches data to the local disk during disconnections to prevent loss, and processes and resends the data once the connection is restored.
Dual Database Output
Supports writing each data entry simultaneously to two different databases, greatly simplifying backup processes and strengthening data security.
Built-In Development Toolkit
Provides a comprehensive toolkit offering ready-to-use code and command lists to support secondary development for enhanced data visualization and predictive modeling.
Cross-System Consolidation
Centralizes and streamlines data from different devices and platforms, eliminating communication barriers and reducing the effort of complex data conversions.
How RDB Gateway works
Setting up a reliable and uninterrupted data pipeline for your big data applications is incredibly simple with RDB Gateway. Here is how it streamlines your data flow :
Data Acquisition
The gateway instantly collects real-time data from various on-site sources and platforms via protocols like OPC UA/DA and Suitelink.
Data Consolidation
It centralizes the collected data, breaking down communication barriers across different platforms without the need for complex manual conversions.
Simultaneous Storage
The processed data is simultaneously and stably written into multiple time-series databases, such as InfluxDB, AVEVA Historian, and AVEVA PI System.
Disconnection Protection
If a connection drops, the system automatically triggers a store-and-forward mechanism to cache data locally, and resumes transmission seamlessly once reconnected.
Advanced Utilization
The perfectly structured time-series data is now ready to power secondary developments like big data analytics, AI predictive modeling, and automated trend visualization.
Benefits
Seamless Source Connection
Connect multiple data sources seamlessly, completely eliminating the hassle of complex conversions and system integrations.
Robust Data Foundation
Deliver stable and diverse data sources, building a solid foundation for big data collection, report analysis, and data visualization.
Simplified Data Backup
Simplify backup processes and real-time data access through dual database outputs, ensuring no critical data is ever lost.
Expanded Application Scenarios
Empower your team to expand the value of data with ease, fully supporting advanced applications like AI predictive analysis, machine learning, and CloudOps.
System Requirements
To ensure optimal performance and system stability, we recommend that your server environment meets the following specifications :
Server Specifications
| CPU | RAM | Storage | Network | Operating System | Database |
|---|---|---|---|---|---|
|
Quad-core or higher, Intel or AMD x86 processor, 2.6 GHz or faster. Recommended: 3rd Gen Intel® Xeon® Scalable (Ice Lake / Cooper Lake) or 10th Gen Intel® Core™ (Comet Lake) or later. |
16GB DDR4 or higher | 1TB SSD or larger | 1Gbps Wired Ethernet Adapter | Microsoft Windows Server 2022 Standard x64 or later | Microsoft SQL Server 2022 Standard x64 or later |
※ Note: Actual hardware requirements may vary depending on the data volume, system load, and the number of concurrent users.
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