Industrial Data Historian Built for Renewable Energy.

Your Performance Edge.

Quadrical Historianedge to cloudRTUsSCADAIIoT devicesCloud Gatewaystore and forwardguaranteed deliveryTERABYTE-SCALE STOREpartitioned by siteby dateby tagLOSSLESS COMPRESSION · ORIGINAL SIGNAL VALUESeven high-resolution BESS dataTrendingDashboardsReportingYour own tools

Imagine what you can do if all your data was tagged and stored.

SolarStorageMulti OEM SCADAOn-Prem or Cloud

The SCADA Data Problem

Most renewable asset operators are sitting on a lot of SCADA data they cannot fully use. The result: faults surface late, performance losses go undetected, and investor reporting stays slow and manual.

SilosUnderutilizedOn-PremiseCumbersomeLimited AccessStandardHistorians

What Quadrical Historian Does

Quadrical Historian is built to solve this — from the edge to the cloud, from raw tag to boardroom report.

1

Collect & Store

Quadrical Historian connects directly to your RTUs, SCADA systems and IIoT devices, then pushes data securely to the Quadrical cloud. Guaranteed store-and-forward capability.

SCADA Integration
  • Standardized Quadrical modules for seamless UI and tag integration with Ignition SCADA
  • Tag integration via OPC-UA with other SCADA
Cloud Gateway
  • Guaranteed, secure store-and-forward delivery to Quadrical cloud
  • Built-in support for sampling and aggregations
  • Standalone deployment on Linux VMs for operational flexibility

Built to Grow. Built to Last.

Your data is stored in a terabyte-scale, high-performance database — partitioned by site, date and tag for fast retrieval at any volume. Lossless compression preserves original signal values – even for high resolution BESS data.

On-prem or on cloud: seamless, transparent, accessible ownership of all your data.

2

Analytics for Actionable Insights

The Quadrical Historian structures and contextualizes data for renewable energy operations, not just store it. Tags are grouped by asset, benchmarks are automated.

Data quality and visualizationone workspaceDATA QUALITY1.4 smedian latencyMISSING VS FAULTYmissingfaultyVISUALIZATIONRealTime trendHistogramHeatmapScatter
Asset Centric Data
  • Tags grouped by asset and asset type for a contextual, operational view
Solar Energy Benchmarks
  • KPI tracking engineered for optimization: availability, capacity factor, energy yield vs. P50
  • Condition-based event detection for proactive maintenance
Data Quality
  • Measurements vs state-level classifications.
  • Missing vs faulty data detection.
  • Latency monitoring across all data streams.
3

Maximize Your Operation

Quadrical Historian puts clean, validated, operational data in the hands of every team. You can then:

Analyze Asset Health on Any Device
Trending, Dashboards Reporting freely available
Visualize with Your Favorite Tools
Share with Built-In Controls
Weather Data Integration
Digitalization -- Site and portfolio level spatial and KPI map views with Google maps
Custom Availability Ticketing
Financial, Operational and O&M Efficiency Reporting

One platform. One data layer.

Quadrical Historian Is Your Foundation

Everything you need to manage, optimize and dispatch your portfolio is already waiting – on the same data layer.

Weather Data API Benchmarking Expectations Digitalization Performance & Reporting Ticket UPLOAD

Imagine what you can do if all your data was tagged and stored.

We started with the intelligence layer, then built the platform around the people who use it.

Whether you run one site or a global fleet, we're here to help your team do its best work.

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