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About

SparkBeyond Discovery autonomously analyzes complex data, finding answers to business problems where you wouldn't think to look. Seamlessly integrate external data into your search space for a better grip on the real influencers of outcomes, and get a holistic perspective of your business reality. Move analytics projects beyond the experimental by interacting with data and insights in natural language, allowing a deeper alliance between analytics and business stakeholders. Future-proof the hard-won benefits of the analytics process by keeping an evergreen cycle of inputs and outputs. The world shifts, and so should your insights. From time-series to geo-spatial data, auto-connect most data in their raw, granular form, without writing a single line of code. See the bigger picture by integrating our curated database of world knowledge (maps, Wikipedia, demographics) or network of 3rd-party data providers.

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

Data professionals looking for an AI analytics solution to generate better business insights

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

Screenshots and Videos

Pricing

No information available.
Free Version Not 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:

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Reviews/Ratings

Overall 5.0 / 5
ease 4.5 / 5
features 5.0 / 5
design 5.0 / 5
support 4.5 / 5

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 Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Company Information

SparkBeyond
Founded: 2013
Israel
www.sparkbeyond.com

Company Information

dataPARC
Founded: 1997
United States
www.dataparc.com

Alternatives

Alternatives

DataHUB+

DataHUB+

VROC
FactoryTalk Historian

FactoryTalk Historian

Rockwell Automation
Proficy Historian

Proficy Historian

GE Vernova

Categories

Data Analysis Supported

Categories

Data Analysis Supported
Data Historians Supported
Data Visualization Supported
Industrial IoT Supported
IoT Analytics Supported
Manufacturing Supported
OEE Supported

Data Analysis Features

Data Discovery Supported
Data Visualization Supported
High Volume Processing Not Supported
Predictive Analytics Supported
Regression Analysis Not Supported
Sentiment Analysis Not Supported
Statistical Modeling Not Supported
Text Analytics Not Supported

Integrations

AVEVA PI System Not Supported
Amazon Web Services (AWS) Supported
App Orchid Not Supported
FactoryTalk Optix Not Supported
Google Analytics Supported
Google Sheets Supported
Hitachi Content Platform Supported
Ignition SCADA Not Supported
Microsoft 365 Supported
Microsoft Excel 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
StarMeUp Supported
TrendMiner Not Supported
Visual KPI Not Supported

Integrations

AVEVA PI System Supported
Amazon Web Services (AWS) Not Supported
App Orchid Supported
FactoryTalk Optix Supported
Google Analytics Not Supported
Google Sheets Not Supported
Hitachi Content Platform Not Supported
Ignition SCADA Supported
Microsoft 365 Not Supported
Microsoft Excel Not Supported
Ndustrial Contxt Supported
PARCview Supported
PI Vision Supported
PreCognize Supported
Proficy Smart Factory MES Supported
RtDUET Supported
Seeq Supported
StarMeUp Not Supported
TrendMiner Supported
Visual KPI Supported
Claim SparkBeyond and update features and information
Claim SparkBeyond and update features and information
Claim dataPARC Historian and update features and information
Claim dataPARC Historian and update features and information