dataPARC Historian is a high-speed process data historian system designed to collect and store vast amounts of plant operating data from various sources. It ensures maximum data integrity through "store and forward" technology and interfaces with automation layers via OPC and custom servers. The system optimizes large volumes of real-time data for high-speed collection and analytics, allowing for aggregation across multiple sites for enterprise-wide visibility. It can combine IT and operations data, collect PLC and control data, connect to SQL databases for lab and quality data, and integrate IT data from MES. The flexible enterprise architecture provides rapid remote access to optimized aggregate data while maintaining instant access to high-resolution production data. Smart data collection leverages machine learning for automatic data roll-up or compression, minimizing bandwidth on WAN and reducing the corporate footprint. Auto-archiving provides online access to historical data while archiving older data to less expensive storage. dataPARC Historian is a cost-competitive, enterprise-class solution that can push processed data anywhere via a single-point API for analysis, filtering, and generation of modeled values, integrating with IT, OT, or business intelligence applications.

Features & Benefits

• High-Speed Time Series Data Storage: Collects and stores plant operating data with "store and forward" technology for maximum data integrity.
• Enterprise Integration & Visibility: Aggregates data across multiple sites for enterprise-wide visibility and combines IT & operations data.
• Smart Data Collection & Compression: Leverages machine learning to automatically roll-up or compress data, minimizing bandwidth and disk space.
• Cost-Effective Enterprise Architecture: Provides enterprise-class historian capabilities at a fraction of the cost, with auto-archiving for long-term data storage.
• Flexible Data Processing & API Push: Analyzes, filters, and generates modeled values, pushing processed data to IT, OT, or BI applications via a single-point API.