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In the era of Industry 4.0 and the Industrial Internet of Things (IIoT), data is fuelling the next wave of manufacturing intelligence and automation. From predictive maintenance and quality control to supply chain optimization and connected worker platforms, data-driven applications are revolutionizing industrial operations.
However, traditional on-premises databases were not designed to handle the scalability, performance, and resilience requirements of modern industrial environments. This is where CLOUDDBTECH’s powerful, cloud-native database solutions become key enablers for industrial automation companies.
CLOUDDBTECH cloud databases provide a robust foundation to address the unique data management needs of manufacturing and industrial use cases:
Our distributed, high-throughput databases can seamlessly ingest and process high-velocity sensor data streams from thousands of IIoT devices across your facilities.
With in-memory and intelligent caching capabilities, CLOUDDBTECH databases power real-time analytics, AI/ML models, and Edge/Fog computing workloads for advanced industrial use cases.
Active geo-replication, automated failover, and point-in-time recovery ensure your mission-critical industrial applications remain operational even during disruptive incidents. Our solutions facilitate compliance with stringent industrial and manufacturing regulations through robust security capabilities.
CLOUDDBTECH’s cloud databases are engineered from the ground up for demanding industrial-grade use cases – handling extreme temperatures, vibrations, hazardous locations, and noisy environments.
Our solutions provide a consistent data layer across hybrid and multi-cloud and on-premises deployments, giving you maximum flexibility to align your infrastructure with operational needs.
CLOUDDBTECH provides fully-managed database services combined with architectural design, migration, performance optimization, and 24/7 monitoring, so you can focus on business priorities.
CLOUDDBTECH focuses on Cloud and Database technologies with more than 250+ years of cumulative experience in Enterprise Data platforms.