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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 Canary Historian?

One of the standout features of the Canary Historian is its adaptability, allowing it to operate effectively both on-site and throughout an entire organization. It supports local data logging while also facilitating the real-time transfer of that data to your enterprise historian. As your operational demands grow, this solution evolves effortlessly to meet those increased requirements. A single unit of the Canary Historian can log over two million tags, and by networking multiple units, you can effortlessly handle tens of millions of tags. These enterprise historian systems can be implemented either within your own data centers or on cloud platforms such as AWS and Azure, providing flexibility in deployment. Unlike many other enterprise historian solutions, the Canary Historian does not require large specialized teams for upkeep. Functioning as a NoSQL time series database, it utilizes loss-less compression algorithms, which enhances performance without the necessity of data interpolation, presenting a notable advantage for users. This combination of features guarantees that both speed and efficiency in data management are significantly enhanced. Furthermore, the scalable nature of the system ensures that organizations can continually optimize their data strategies as they evolve.

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
DataHUB+
FactoryTalk
Opralog

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

$9,970 one-time payment

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

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

Canary

Company Location

United States

Company Website

www.canarylabs.com/product/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

Industrial Automation

Not specified

Time Series Databases

Not specified

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