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What is TrendMiner?

TrendMiner is a cutting-edge analytics platform tailored for industrial applications, known for its speed, strength, and user-friendliness. This platform is specifically built to facilitate real-time monitoring and troubleshooting of industrial processes. By enabling comprehensive data collection, analysis, and visualization, it empowers individuals within industrial sectors to make informed, data-driven choices with enhanced efficiency. Founded in 2008, TrendMiner operates as a subsidiary of Proemion and maintains its global headquarters in Belgium, with additional offices situated in the U.S.A., Germany, Spain, and the Netherlands. The company has forged strategic partnerships with industry giants such as Amazon, Microsoft, and SAP, enhancing its market presence. Furthermore, TrendMiner provides standard integrations for a wide range of data historians, including well-known systems like Honeywell PHD and GE Proficy Historian, ensuring seamless compatibility and functionality across various platforms. This extensive network of connections highlights TrendMiner's commitment to delivering comprehensive analytics solutions in the industrial landscape.

What is AVEVA Historian?

AVEVA Historian simplifies the intricate challenges of data reporting and analysis with remarkable ease. This adaptable tool can be applied to monitor either a single process or an entire facility, allowing for localized data storage while simultaneously integrating information at the corporate level. By eliminating the possibility of multiple versions of operational data, it boosts productivity, reduces the likelihood of errors, and lowers operational costs. Unlike conventional relational databases that face difficulties in production environments, Historian excels at managing time-series data, as well as handling alarms and events efficiently. Its groundbreaking "history block" technology enables the swift capture of plant data at a speed that outpaces standard database systems, all while requiring significantly less storage capacity. The integrity of the data is maintained to satisfy even the most rigorous standards. Furthermore, AVEVA Historian skillfully manages low bandwidth communication, accommodates late-arriving data, and reconciles information from systems with varying clock settings, ensuring that high-resolution data is recorded consistently and accurately. This extensive range of capabilities not only enhances data management but also positions Historian as a critical resource for contemporary industrial operations, ultimately driving innovation and efficiency in the sector.

Media

Media

Integrations Supported

PARCview
APERIO DataWise
AVEVA MES
AVEVA PI System
Amazon Redshift
Amazon Timestream
Aspen InfoPlus
Azure SQL Database
Emerson DeltaV
Honeywell Uniformance
Ignition SCADA
MySQL
PostgreSQL
Proficy Smart Factory MES
TimescaleDB
dataPARC Historian

Integrations Supported

PARCview
AVEVA Data Hub
DataHUB+
FactoryTalk
VPVision

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS
On-Prem
Linux

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

TrendMiner

Date Founded

2008

Company Location

Belgium (HQ), USA, Germany, Netherlands, Spain

Company Website

www.trendminer.com

Company Facts

Organization Name

AVEVA

Company Location

United Kingdom

Company Website

www.aveva.com/en/products/historian/

Categories and Features

Brewery

Production Tracking
Quality Control

Chemical

Reporting & Statistics
Uncertainty Analysis

Emissions Management

Emission Reduction Planning
Emissions Monitoring
Risk Management

Energy Management

Emissions Monitoring
Greenhouse Gas Tracking
Load Control
Load Forecasting
Meter Tracking
Risk Management

IoT Analytics

Not specified

Manufacturing

Quality Management
Reporting/Analytics
Safety Management

Manufacturing Intelligence

Aggregation
Analysis
Contextualization
KPIs
Propagation
Visualization

Oil and Gas

Maintenance Management
Material Management
Resource Management

Predictive Analytics

Data Mining
Modeling & Simulation

Process Manufacturing

Not specified

Root Cause Analysis

Not specified

Categories and Features

Data Historians

Not specified

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