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What is dataPARC Historian?

Harness the complete capabilities of your organization's time-series data through the dataPARC Historian. This innovative solution enhances data management by ensuring seamless and secure data movement throughout your enterprise. Its architecture is designed for straightforward integration with AI, machine learning, and cloud technologies, which fosters creative adaptability and richer insights. With rapid data retrieval, sophisticated manufacturing intelligence, and the ability to scale, the dataPARC Historian emerges as the premier option for companies aiming to excel in their operations. It transcends mere data storage; it is about converting data into actionable insights with remarkable speed and accuracy. The dataPARC Historian is distinguished as more than just a data storage solution. It equips organizations with the flexibility to leverage time-series data more effectively, ensuring that decisions are well-informed and impactful, supported by a platform celebrated for its reliability and user-friendliness. Additionally, its ability to adapt to changing business needs makes it an invaluable asset for future growth and innovation.

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

AVEVA PI System
App Orchid
FactoryTalk Optix
Ndustrial Contxt
Opralog
PARCview
PI Vision
Proficy Smart Factory MES
Seeq
TrendMiner
Uptake
Visual KPI

Integrations Supported

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

API Availability

Has API

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
Windows
On-Prem

Supported Platforms

SaaS
Windows
On-Prem
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

dataPARC

Date Founded

1997

Company Location

United States

Company Website

www.dataparc.com

Company Facts

Organization Name

Litmus

Date Founded

2014

Company Location

United States

Company Website

litmus.io/litmus-edge/

Categories and Features

Data Analysis

Not specified

Data Historians

Not specified

Data Visualization

Not specified

Industrial Automation

Not specified

Industrial IoT

Not specified

IoT Analytics

Not specified

Manufacturing

Not specified

OEE

Not specified

Root Cause Analysis

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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