
QuantaStor is an integrated Software Defined Storage solution that can easily adjust its scale to facilitate streamlined storage oversight while minimizing expenses associated with storage. The QuantaStor storage grids can be tailored to accommodate intricate workflows that extend across data centers and various locations. Featuring a built-in Federated Management System, QuantaStor enables the integration of its servers and clients, simplifying management and automation through command-line interfaces and REST APIs. The architecture of QuantaStor is structured in layers, granting solution engineers exceptional adaptability, which empowers them to craft applications that enhance performance and resilience for diverse storage tasks. Additionally, QuantaStor ensures comprehensive security measures, providing multi-layer protection for data across both cloud environments and enterprise storage implementations, ultimately fostering trust and reliability in data management. This robust approach to security is critical in today's data-driven landscape, where safeguarding information against potential threats is paramount.
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Bacula Enterprise provides backup and recovery for enterprise, HPC, defense, government and research environments. Developed by Switzerland-based Bacula Systems, it protects physical, virtual, container, database, SaaS and cloud workloads from one platform.
Support data sovereignty with on-premises deployment without mandatory cloud control planes, call-home licensing or continuous internet access. Retain control over backup location, infrastructure, encryption keys and recovery procedures.
Strengthen ransomware resilience with physically air-gapped tape, offline copies, immutable storage options, encryption, MFA, access controls and file integrity verification.
For petabyte-scale HPC datasets, HPC Accelerator, parallel processing and Lustre, GPFS and ZFS integrations help protect large file populations. Use disk, tape, object storage and cloud targets, with no licensing charges based on protected data volume.
VM coverage includes VMware vSphere/ESXi, Hyper-V, Proxmox, Nutanix AHV, XenServer, XCP-ng, KVM, QEMU, Libvirt, Red Hat Virtualization, OpenStack, Amazon EC2 and Azure VMs. Protect Kubernetes, OpenShift and Docker containers.
Database coverage includes Oracle, SQL Server, PostgreSQL, MySQL, Percona for MySQL, MariaDB, SAP HANA, Sybase ASE, IBM Db2, MongoDB and InterSystems IRIS, plus Amazon RDS integration. Other workloads include Hadoop HDFS, Microsoft 365 and Google Workspace.
BWeb administration, scheduling, monitoring, reporting, deduplication and compression simplify operations. Restore files, application data, VMs and supported bare-metal systems.
Its open-core architecture combines Bacula's open-source foundation with enterprise-only plugins, security features, management tools and commercial support.
Configure plugins, retention policies, storage and support to match your security requirements and recovery objectives. Contact Bacula Systems for a demonstration or evaluation.
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Bosch Essential Video Analytics
Bosch's Essential Video Analytics 6.60 serves as the go-to option for effective video surveillance analytics, specifically designed for small to medium-sized businesses, large retail spaces, commercial real estate, and logistics hubs. The software proficiently detects, follows, and assesses moving objects while effectively reducing false alarms caused by non-relevant elements in the video feed. It features sophisticated functions such as tracking multiple line crossings, spotting loitering behaviors, estimating crowd sizes, and counting people. Users have the ability to create object filters based on various characteristics like dimensions, speed, direction, aspect ratio, and color. For cameras that are properly calibrated, the system can automatically recognize different types of objects, including standing people, various vehicles such as cars and bicycles, as well as larger trucks. In addition, Essential Video Analytics 6.60 improves user interaction with enhanced setup processes by offering default scenarios and allowing users to combine alarm fields within its interface. It also guarantees that all object data collected is stored, enabling users to adjust detection parameters after an event for thorough forensic investigations. This level of adaptability not only enhances security measures but also significantly boosts operational efficiency across diverse settings. Ultimately, it is a pivotal asset for any organization aiming to optimize their surveillance capabilities.
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PoINT Data Replicator
In contemporary times, a growing number of organizations are turning to object and cloud storage solutions for managing unstructured data, supplementing their reliance on traditional file systems. This trend has been driven by the advantages these modern storage methods offer, particularly for archival data, leading to a notable transition of files from outdated NAS systems to more advanced cloud storage options. While this migration has resulted in an expanded volume of data being stored in the cloud and through object storage systems, it has also created a significant, yet often ignored, security risk. Many users mistakenly believe that the data they store in cloud environments or on-site object storage is automatically secure, leaving it vulnerable as it often lacks proper backups. Such a belief is dangerous and can lead to serious consequences, as the reliability and redundancy that these storage services provide do not protect against threats such as accidental deletions, ransomware, malware, or technological malfunctions. Consequently, it is essential for organizations to adopt effective backup and replication strategies for their data housed in cloud and object storage, ideally utilizing different storage technologies located in separate environments while maintaining the original data format. This proactive approach not only strengthens data security but also significantly lowers the risks associated with potential data breaches or losses, thus safeguarding the integrity of critical information. Ultimately, by implementing these measures, organizations can ensure a higher level of protection for their valuable data assets in an increasingly digital landscape.
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