
IONOS Cloud Object Storage is a flexible storage solution tailored for the management and retrieval of extensive volumes of unstructured data within cloud platforms. Fully compliant with the S3 API standard, it empowers developers and IT professionals to utilize existing S3 clients and tools for bucket and object management, seamlessly integrating into modern cloud-native applications and systems. This service allows businesses to store nearly limitless amounts of static or backup data without the complexities of traditional storage management. Engineered for both reliability and high availability, it ensures data remains accessible and secure through redundant storage mechanisms across multiple nodes, safeguarding against potential infrastructure failures. Ideal for a variety of use cases, it supports the storage of backups, archives, and disaster recovery snapshots, while also efficiently managing substantial datasets that are essential for analytics, machine learning, or digital content initiatives. Furthermore, its scalability makes it an excellent choice for organizations anticipating growth or needing to adapt quickly to changing data storage requirements.
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QuantaStor, a unified Software Defined Storage platform, is designed to scale up and down to simplify storage management and reduce overall storage costs. QuantaStor storage grids can be configured to support complex workflows that span datacenters and sites. QuantaStor's storage technology includes a built-in Federated Management System that allows QuantaStor servers and clients to be combined to make management and automation easier via CLI and RESTAPIs. QuantaStor's layered architecture gives solution engineers unprecedented flexibility and allows them to design applications that maximize workload performance and fault tolerance for a wide variety of storage workloads. QuantaStor provides end-to-end security coverage that allows multi-layer data protection for cloud and enterprise storage deployments.
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AIM Vision
Facilitate better supply chain management by streamlining the planning, management, and execution of all activities related to sourcing and procurement. Supply Chain Management solutions can help you reduce costs, increase inventory, and improve production efficiencies. It's flexible and allows you to respond to customer needs. AIM Vision assists automotive suppliers in implementing the necessary business systems and preparing for internal reviews and customer MMOG/LE audits. Based on cumulative customer requirements and shipments, track and process customer demand. Analyze demand trends using release history comparisons. Management of cum variances between suppliers and customers is an industry best practice. All aspects of shipping and receiving products can be controlled and integrated with PO Receiving and Production.
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DataPortia
DataPortia represents a sophisticated on-premises solution for industrial data acquisition and reporting, equipped with integrated AI analytics capabilities. It seamlessly interfaces with various automation systems through the OPC UA protocol, compatible with brands such as Siemens, ABB, Valmet, Beckhoff, Schneider, Honeywell, and Rockwell, allowing it to gather over 2000 measurement points each second while archiving time-series data in PostgreSQL or TimescaleDB.
Notable attributes include:
- Dynamic real-time dashboards featuring gauges, charts, bar graphs, and tables for comprehensive data visualization.
- Interactive trend analysis utilizing ECharts for visualization, enhanced with a drag-to-zoom function for user convenience.
- Detailed reporting capabilities, with options for exporting data in CSV and PDF formats.
- The ability to schedule automated reports on a daily, weekly, monthly, or custom basis to streamline operations.
- AI-driven data analytics, powered by a local Ollama LLM, enabling insights into anomalies, forecasts, cost optimization, and tailored reports, all without reliance on cloud services.
- Management of OPC UA alarms and conditions, accompanied by analytical tools and options for data export.
- Facilitation of reading OPC UA history directly from the server's historian for efficient data retrieval.
- Support for calculation circuits, including both cumulative and non-cumulative formulas to meet diverse analytical needs.
- Features for transferring, copying, and merging tags between connections, enhancing flexibility in data management.
- A robust TimescaleDB time-series database for optimized data storage and retrieval, ensuring efficient handling of extensive datasets.
This comprehensive suite of features positions DataPort
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