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Average Ratings 0 Ratings

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Description

The remarkable aspect of the Canary Historian is its versatility, functioning equally well on-site and across an entire organization. It allows for local data logging while simultaneously transmitting that data to your enterprise historian. Moreover, as your needs expand, the solution adapts seamlessly to accommodate growth. A single Canary Historian is capable of logging over two million tags, and by clustering multiple units, you can manage tens of millions of tags effortlessly. These enterprise historian solutions can be deployed in your own data centers or on cloud platforms like AWS and Azure. Additionally, contrary to many other enterprise historian options, Canary Historians do not necessitate large specialized teams for maintenance. Serving as a NoSQL time series database, the Canary Historian implements loss-less compression algorithms, delivering exceptional performance without the need for data interpolation, which is a significant advantage for users. This dual capability ensures that both speed and efficiency are maximized in data handling.

Description

Analyze and utilize your data at the Edge to transform Big Data into manageable, pertinent insights. Gather sensor information from all your equipment and establish connections with various devices like sensors, PLCs, DCS, MES, or historians. Implement condition monitoring for assets located remotely, aligning with Industry 4.0 standards for effective data collection and integration. Merge real-time streaming data with enterprise data for seamless data flows, and utilize your preferred Cloud Provider or your own data center for data storage solutions. Leverage Crosser Edge's MLOps capabilities to bring, manage, and deploy your custom machine learning models, with the Crosser Edge Node supporting any machine learning framework. Access a centralized library for your trained models hosted in Crosser Cloud, and streamline your data pipeline using a user-friendly drag-and-drop interface. Easily deploy machine learning models to multiple Edge Nodes with a single operation, fostering self-service innovation through Crosser Flow Studio. Take advantage of an extensive library of pre-built modules to facilitate collaboration among teams across different locations, effectively reducing reliance on individual team members and enhancing organizational efficiency. With these capabilities, your workflow will promote collaboration and innovation like never before.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Advantech WebAccess/CNC No 
Azure Stream Analytics No 
Barracuda PST Enterprise No 
DataHUB+ Yes 
FactoryTalk Yes 
Google Cloud Platform No 
Microsoft Azure No 
PARCview Yes 
SIGNL4 No 

Integrations

Advantech WebAccess/CNC Yes 
Azure Stream Analytics Yes 
Barracuda PST Enterprise Yes 
DataHUB+ No 
FactoryTalk No 
Google Cloud Platform Yes 
Microsoft Azure Yes 
PARCview No 
SIGNL4 Yes 

Pricing Details

$9,970 one-time payment
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Canary

Country

United States

Website

www.canarylabs.com/product/historian

Vendor Details

Company Name

Crosser Technologies

Founded

2016

Country

Sweden

Website

www.crosser.io

Product Features

IoT

Application Development No 
Big Data Analytics No 
Configuration Management No 
Connectivity Management No 
Data Collection No 
Data Management No 
Device Management No 
Performance Management No 
Prototyping No 
Visualization No 

IoT Analytics

Activity Dashboard No 
Activity Tracking No 
Analytics No 
Asset Tracking No 
Data Collection No 
Data Synchronization No 
Data Visualization No 
ETL No 
Multiple Data Sources No 
Performance Analysis No 
Real-Time Analytics No 
Real-Time Data No 
Real-Time Monitoring No 
Status Tracking No 

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