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What is Zenith Technologies Data Historian?

At Zenith Technologies, the Data Historian team is dedicated to the development of robust Data Historian systems that effectively collect, store, analyze, and display data from diverse sources on the manufacturing floor and throughout business operations, enabling clients to gain immediate insights into their production methodologies. Our experts in manufacturing intelligence leverage the OSIsoft PI Data Historian—an industry-leading solution—and are well-versed in critical competencies such as data integration, warehousing, and visualization techniques. We provide a comprehensive range of services that encompass everything from system installation and configuration to crafting in-depth reports and engaging data visualizations. With a wealth of experience in setting up and managing Plant Historian systems, our engineers assist clients in promoting behavioral shifts, improving decision-making processes, and maintaining compliance with regulatory standards. Our team consists of experienced professionals who have successfully rolled out historian solutions in both the pharmaceutical and GxP sectors, underscoring our dedication to achieving excellence in this niche area. This deep-seated expertise empowers us to address the specific requirements of our clients, delivering customized solutions that enhance operational efficiency and lead to greater success in their endeavors. By continuously refining our methodologies, we ensure that our clients remain at the forefront of their industries.

What is Litmus Edge?

Introducing a versatile Industrial Data Platform that is independent of hardware, enabling manufacturing firms to maximize their data utilization. Litmus Edge establishes a robust data layer that enhances the accessibility of IIoT on the factory floor and throughout the organization, allowing you to concentrate on the most critical aspects of your business. With the addition of Litmus Edge Manager, you gain a centralized platform for managing and orchestrating devices, data, applications, and machine learning models seamlessly across various locations and scales. Experience our solution with a complimentary 15-day trial, during which you'll have full access to all features, extensive documentation, helpful guides, and support from our team of experts. Should you require a fully equipped hosted instance for your initial setup, simply reach out to us, and we'll be happy to accommodate your needs.

Media

Media

Integrations Supported

KEPServerEX
Kepware+

Integrations Supported

AWS IoT
Apache Kafka
Azure Marketplace
Cloudera DataFlow
Cogent DataHub
Litmus Edge Manager
Microsoft Azure
MongoDB
MySQL
Splunk Cloud Platform

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

15000/5k data points/site
Litmus Edge has Site - based pricing based on number of sites and number of data points. There are three packages: Foundation, Growth, and Scale. Check out the pricing information on the website for breakdown on features and packages.
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
On-Prem
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
On-Site Training

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Cognizant

Company Location

United Kingdom

Company Website

www.zenithtechnologies.com/data-historian/

Company Facts

Organization Name

Litmus

Date Founded

2014

Company Location

United States

Company Website

litmus.io/litmus-edge/

Categories and Features

Data Historians

Not specified

Categories and Features

Industrial IoT

Condition Monitoring
Data Visualization
Factory Data Analytics
Machine Learning
Machine Workflow Creation
Predictive Maintenance
Production Line / Factory Insights
Real-Time Monitoring
Reporting / Analytics
Smart Alerts / Notifications

IoT

Application Development
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Prototyping
Visualization

IoT Device Management

Not specified

Manufacturing

MES
Maintenance Management
Quality Management
Reporting/Analytics

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