
Veeam Data Platform is an enterprise data resilience platform built to protect data, ensure clean recovery, and support workload portability across hybrid and multicloud environments. The platform brings together backup, recovery, security, monitoring, threat detection, storage, orchestration, governance, and compliance into a unified data protection architecture. Veeam helps organizations recover from cyberattacks, outages, accidental deletion, infrastructure failures, and ransomware with confidence. Its AI-powered threat defense scans at backup and restore, helping teams identify threats before recovery and validate that restore points are clean. Workload mobility capabilities allow organizations to move data and workloads across hypervisors, clouds, storage systems, and platforms without vendor lock-in. Veeam also supports disaster recovery, multicloud protection, immutability, retention automation, DR testing, audit-ready reporting, and data sovereignty controls. Platform editions include Foundation for backup and recovery, Advanced for proactive monitoring and analytics, and Premium for orchestration and full cyber resilience. Add-ons such as Veeam Data Cloud Vault provide immutable cloud storage for organizations expanding their resilience strategy. By combining data protection, cyber resilience, recovery orchestration, threat detection, governance, and portability, Veeam Data Platform helps enterprises keep data secure, recoverable, and ready for modern AI-driven operations.
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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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