RaimaDB
RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times.
RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.
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Airlock Digital
Airlock Digital delivers an easy-to-manage and scalable application control solution to protect endpoints with confidence. Built by cybersecurity professionals and trusted by organizations worldwide, Airlock Digital enforces a Deny by Default security posture to block all untrusted code, including unknown applications, unwanted scripts, malware, and ransomware.
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AWS IoT
There are countless devices operating in various environments such as residences, industrial sites, oil extraction facilities, medical centers, vehicles, and numerous other locations. As the number of these devices continues to rise, there is a growing demand for effective solutions that can connect them, as well as gather, store, and analyze the data they generate. AWS provides a comprehensive suite of IoT services that span from edge computing to cloud-based solutions. Unique among cloud providers, AWS IoT integrates data management with advanced analytics capabilities tailored to handle the complexities of IoT data seamlessly. The platform includes robust security features at every level, offering preventive measures like encryption and access control to safeguard device data, along with ongoing monitoring and auditing of configurations. By merging AI with IoT, AWS enhances the intelligence of devices, allowing users to build models in the cloud and deploy them to devices where they operate twice as efficiently as comparable solutions. Additionally, you can streamline operations by easily creating digital twins that mirror real-world systems and conduct analytics on large volumes of IoT data without the need to construct a dedicated analytics infrastructure. This means businesses can focus more on leveraging insights rather than getting bogged down in technical complexities.
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VersaONE
An AI-driven platform designed to integrate security and networking seamlessly.
Boost the efficiency of threat detection and response with AI-enhanced data protection that significantly reduces the likelihood of human error. Elevate the experience for users and applications, while also enhancing overall performance and dependability through an AI-optimized network. Decrease total cost of ownership by simplifying infrastructure with a cohesive platform that minimizes the chaos of multiple point products, fragmented operations, and intricate lifecycle management.
VersaONE ensures uninterrupted connectivity and consolidated security for users, devices, offices, branches, and edge sites. It provides secure access to all workloads, applications, and cloud services from one unified platform, guaranteeing that data and resources remain both accessible and protected across any network type, be it WAN, LAN, wireless, cellular, or satellite. This comprehensive platform strategy not only streamlines network management and lowers complexity but also fortifies security, effectively addressing the challenges presented by contemporary IT infrastructures. Additionally, the integration of AI empowers organizations to stay ahead of potential threats while optimizing their operational efficiencies.
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