Best Smart Factory Software for PostgreSQL
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Compare the Top Smart Factory Software that integrates with PostgreSQL as of November 2025
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This a list of Smart Factory software that integrates with PostgreSQL. Use the filters on the left to add additional filters for products that have integrations with PostgreSQL. View the products that work with PostgreSQL in the table below.
What is Smart Factory Software for PostgreSQL?
Smart factory software is software designed to optimize and automate manufacturing processes within an industrial setting. It integrates technologies like the Internet of Things (IoT), artificial intelligence (AI), and real-time data analytics to improve efficiency, quality, and flexibility. By connecting machines, systems, and workers, the software provides centralized monitoring, predictive maintenance, and streamlined workflows. It enables manufacturers to reduce downtime, cut costs, and respond rapidly to market demands. With its focus on intelligent decision-making, smart factory software is a cornerstone of Industry 4.0, driving innovation and productivity in modern manufacturing. Compare and read user reviews of the best Smart Factory software for PostgreSQL currently available using the table below. This list is updated regularly.
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Glassdome
Glassdome
The Glassdome Platform is a unified operations platform that transforms real-time manufacturing data into actionable insights for both operational performance and sustainability outcomes. The platform enables manufacturers to collect data directly from equipment and machines across their facility, duplicate and preserve raw data, aggregate and harmonize multiple data sources, adjust and correct anomalies, and deliver automated reporting and dashboards to drive decision-making with precision. With features such as real-time data integration, advanced analytics, customizable dashboards, automated reports, and scalable deployment, the solution supports both production monitoring and product carbon footprint management from the same platform. Users gain visibility into machine downtime, overall equipment effectiveness (OEE), scrap rates, quality issues, and staffing/inventory interruptions.
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