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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 SparkBeyond?

SparkBeyond Discovery takes a unique approach to analyze complex data sets, revealing solutions to business problems in surprising ways. It facilitates the seamless integration of external data into your analyses, deepening your comprehension of the crucial elements that drive results and offering a well-rounded perspective of your business environment. By allowing users to interact with data and insights using natural language, it enhances collaboration between analytics teams and business executives, elevating analytics efforts beyond simple trials. To maintain the relevance of insights derived from analytics, it supports an ongoing cycle of inputs and outputs that are responsive to evolving conditions. As changes occur in the world, your insights must also adapt. With the capability to automatically link diverse data types—from time-series to geo-spatial—without requiring any coding, you can effortlessly uncover valuable insights. Furthermore, by incorporating a thoughtfully assembled repository of global knowledge, which includes maps, demographic statistics, and Wikipedia entries, along with access to a network of external data collaborators, your analytical prowess can be significantly amplified. This comprehensive methodology ensures that organizations are not only prepared but also resilient in facing the intricate challenges of today’s business landscape, ultimately driving informed decision-making and strategic growth.

Media

Media

Integrations Supported

AVEVA PI System
Amazon Web Services (AWS)
App Orchid
BizDataX
Braincube
Google Analytics
Google Sheets
Ignition SCADA
Microsoft 365
Microsoft Excel
Ndustrial Contxt
PARCview
PI Vision
PreCognize
Proficy Smart Factory MES
RtDUET
Seeq
StarMeUp
TrendMiner
Uptake

Integrations Supported

AVEVA PI System
Amazon Web Services (AWS)
App Orchid
BizDataX
Braincube
Google Analytics
Google Sheets
Ignition SCADA
Microsoft 365
Microsoft Excel
Ndustrial Contxt
PARCview
PI Vision
PreCognize
Proficy Smart Factory MES
RtDUET
Seeq
StarMeUp
TrendMiner
Uptake

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
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
Webinars
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

SparkBeyond

Date Founded

2013

Company Location

Israel

Company Website

www.sparkbeyond.com

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

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 Analytics

Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking

Manufacturing

Accounting Integration
ERP
MES
MRP
Maintenance Management
Purchase Order Management
Quality Management
Quotes/Estimates
Reporting/Analytics
Safety Management
Shipping Management

OEE

Benchmarking
Cost Tracking
Downtime Tracking
Historical Reporting
Performance Metrics
Quality Control
Real Time Reporting
Root Cause Analysis
Trend Analysis
Work Order Management

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

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