UMH vs. dataPARC Historian Comparison


UMH United Manufacturing Hub	dataPARC Historian dataPARC	+	+
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About United Manufacturing Hub is the open-source, AI-native Industrial Data Management Platform. It connects shop-floor equipment and IT systems, cleans and contextualizes the data, and structures it in a Unified Namespace: one real-time source of truth for the whole plant. On that foundation, manufacturers run operational KPIs, energy and condition monitoring, alerting, and industrial AI, including AI agents that reason over live production data. It is deployed across multiple sites and used by manufacturers including HiPP, Böllhoff, and VELUX. An independent Forrester Total Economic Impact study found 426% ROI over three years with payback in under six months.	About Get better performance from your time-series data with the dataPARC Historian, an enterprise-grade solution designed to elevate industrial data operations to new heights. The dataPARC Historian simplifies complex data sharing, ensuring seamless collaboration across departments with enhanced security and performance. Its compatibility with external AI, ML, and cloud applications via an open architecture increases adaptability and strategic insights. Experience rapid data access, enriched manufacturing intelligence, and a platform that grows with your business needs. dataPARC historian is the smart choice for enterprises aiming for the forefront of operational excellence. The dataPARC historian is more than a data historian; it's a gateway to unlocking greater flexibility and efficiency in leveraging your time-series data. It's crafted for those who demand reliability, speed, and intuitive use, making every data interaction impactful.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Manufacturers running discrete or high-volume production.	Audience Manufacturing plants
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Supported 24/7 Live Support Supported Online Supported
API Offers API Not Supported	API Offers API Supported
Screenshots and Videos No images available	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Supported Free Trial Not Supported	Pricing No information available. Free Version Not Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 5.0 / 5 ease 4.5 / 5 features 5.0 / 5 design 5.0 / 5 support 4.5 / 5 Read all reviews
	Pros & Cons from Real Users Pros Ease of use, stability, the platform offers the best HMI experience of all other products in the industry. Quick, easily accessible, and visually clear data presentation. Easy enough to use that operators often already have trends built and tags pulled when troubleshooting before I ever get to the control room. Alarming and reporting functionality is very useful, other historian packages seem to require separate software packages to handle the alarm/reporting side of things, it is nice to have it all in one package. I really like the parc calc server option, it is a great way to handle complex data manipulation in real time and allows us to take large amounts of data and refine it down to be more presentable for KPI sheets and daily scorecards. I like the speed for data retrieval as well as the ability to historize calculated tags. I also like the PARCdata interface that allows me to craft SQL queries for data retrieval. I've also been successful with a proof-of-concept using python OPC to retrieve historical data from their UA server. With the technical matching or superiority compared to competitors, the significantly lower price makes the decision obvious. Cons It’s challenging to pull MDE tags and sort by grade Biggest struggle has been integrating the software into a network with changing IT security practices. The data collectors live on the process network and operators are accessing it from a business network there is a bit of management that must take place to ensure connectivity while also maintaining security. This would be an issue with any historian system, but because of the depth of deployment, the number of functions we rely on dataPARC for, and the amount of data we pass between the networks, any change in permissions or restrictions on the network can limit operability of the software suite. With other data historian systems since their functionality is more constrained, network issues don't reach as far. Really, the only aspect of the historian that I struggle with is the security console. It allows me to achieve what I need regarding security, but the learning curve was unexpected steep for me.
Training Documentation Supported Webinars Supported Live Online Supported In Person Supported	Training Documentation Supported Webinars Supported Live Online Supported In Person Supported
Company Information United Manufacturing Hub Founded: 2021 Germany www.umh.app/	Company Information dataPARC Founded: 1997 United States www.dataparc.com
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Categories Industrial AI Supported Industrial IoT Supported OEE Supported	Categories Data Analysis Supported Data Historians Supported Data Visualization Supported Industrial Automation Supported Industrial IoT Supported IoT Analytics Supported Manufacturing Supported OEE Supported Root Cause Analysis Supported
Industrial IoT Features Condition Monitoring Supported Data Visualization Not Supported Factory Data Analytics Not Supported Machine Learning Not Supported Machine Workflow Creation Not Supported Predictive Maintenance Supported Production Line / Factory Insights Supported Real-Time Monitoring Supported Reporting / Analytics Not Supported Smart Alerts / Notifications Not Supported OEE Features Benchmarking Supported Cost Tracking Supported Downtime Tracking Supported Historical Reporting Supported Performance Metrics Supported Quality Control Supported Real Time Reporting Supported Root Cause Analysis Not Supported Trend Analysis Supported Work Order Management Supported
Integrations AVEVA PI System Not Supported AWS AI Factories Supported App Orchid Not Supported Braincube Not Supported FactoryTalk Optix Not Supported Google Cloud AI Infrastructure Supported Ignition SCADA Not Supported Microsoft Azure Supported Modbus RTU Supported Ndustrial Contxt Not Supported PARCview Not Supported PI Vision Not Supported PreCognize Not Supported Proficy Smart Factory MES Not Supported RtDUET Not Supported Seeq Not Supported Snowflake Supported TrendMiner Not Supported Uptake Not Supported Visual KPI Not Supported Show More Integrations View All 5 Integrations	Integrations AVEVA PI System Supported AWS AI Factories Not Supported App Orchid Supported Braincube Supported FactoryTalk Optix Supported Google Cloud AI Infrastructure Not Supported Ignition SCADA Supported Microsoft Azure Not Supported Modbus RTU Not Supported Ndustrial Contxt Supported PARCview Supported PI Vision Supported PreCognize Supported Proficy Smart Factory MES Supported RtDUET Supported Seeq Supported Snowflake Not Supported TrendMiner Supported Uptake Supported Visual KPI Supported Show More Integrations View All 15 Integrations
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