RaimaDB
RaimaDB is an embedded time series database designed specifically for Edge and IoT devices, capable of operating entirely in-memory. This powerful and lightweight relational database management system (RDBMS) is not only secure but has also been validated by over 20,000 developers globally, with deployments exceeding 25 million instances. It excels in high-performance environments and is tailored for critical applications across various sectors, particularly in edge computing and IoT. Its efficient architecture makes it particularly suitable for systems with limited resources, offering both in-memory and persistent storage capabilities. RaimaDB supports versatile data modeling, accommodating traditional relational approaches alongside direct relationships via network model sets. The database guarantees data integrity with ACID-compliant transactions and employs a variety of advanced indexing techniques, including B+Tree, Hash Table, R-Tree, and AVL-Tree, to enhance data accessibility and reliability. Furthermore, it is designed to handle real-time processing demands, featuring multi-version concurrency control (MVCC) and snapshot isolation, which collectively position it as a dependable choice for applications where both speed and stability are essential. This combination of features makes RaimaDB an invaluable asset for developers looking to optimize performance in their applications.
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Ditto
Ditto is the only mobile database that comes with built-in edge connectivity and offline resilience, allowing apps to sync data without depending on servers or continuous access to the cloud. As billions of mobile and edge devices—and the deskless workers using them—form the backbone of modern operations, organizations are running into the constraints of conventional cloud-first systems. Used by leaders like Chick-fil-A, Delta, Lufthansa, and Japan Airlines, Ditto is at the forefront of the edge-native movement, reshaping how businesses operate, sync, and stay connected beyond the cloud. By removing the need for external hardware, Ditto’s software-based networking lets companies develop faster, more fault-tolerant applications that perform even in disconnected environments—no cloud, server, or Wi-Fi required.
Leveraging CRDTs and peer-to-peer mesh replication, Ditto allows developers to build robust, collaborative applications where data remains consistent and available to all users—even during complete offline scenarios. This ensures business-critical systems remain functional exactly when they’re needed most.
Ditto follows an edge-native design philosophy. Unlike cloud-centric approaches, edge-native systems are optimized to run directly on mobile and edge devices. With Ditto, devices automatically discover and talk to each other, forming dynamic mesh networks instead of routing data through the cloud. The platform seamlessly handles complex connectivity across online and offline modes—Bluetooth, P2P Wi-Fi, LAN, Cellular, and more—to detect nearby devices and sync updates in real time.
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7SIGNAL
7SIGNAL offers a cloud-centric Wireless Network Monitoring solution tailored for businesses that rely on Wi-Fi for their operations. This platform provides ongoing surveillance of the wireless network to identify performance issues, ensuring maximum uptime, seamless device connectivity, and enhanced network return on investment. Uniquely, 7SIGNAL conducts its monitoring from the network's edge rather than from the central infrastructure.
The platform features a patented component known as Sapphire Eye, which serves as a cutting-edge Wi-Fi sensor. These hardware sensors are deployed on-site and are specifically engineered to facilitate remote monitoring of wireless network quality through cloud-based technology.
Additionally, 7SIGNAL boasts another patented offering called Mobile Eye, a Software as a Service (SaaS) application. Installed directly on the user's wireless device, Mobile Eye empowers organizations to continuously track the performance of their wireless network right from the endpoint, providing valuable insights and enhancing overall network management. This dual approach of monitoring from both the edge and the endpoint ensures comprehensive oversight of the wireless environment.
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Acrylic WiFi Heatmaps
The system functions by pinpointing specific areas such as structures, levels, and both internal and external boundaries, associating them with blueprints or designated geographic zones. By conducting WiFi measurements, it gathers detailed traffic data, which encompasses device information, signal intensity, and various relevant metrics to produce detailed maps that depict the range of each access point. Additionally, it generates automated, customizable reports that evaluate the network's performance and offer suggestions for improvements. This capability allows the use of indoor layouts in places where GPS signals are not available, guaranteeing that all information is precisely georeferenced. For those requiring outdoor assessments, Acrylic WiFi Heatmaps is designed to perform WiFi evaluations over large regions, including urban smart city areas, thus expanding its usability. Its adaptability makes it a crucial resource for network specialists aiming to enhance WiFi efficiency across diverse environments. As technology continues to evolve, the importance of such tools in managing network performance becomes increasingly significant.
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