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.
Learn more
Dragonfly
Dragonfly serves as a seamless substitute for Redis, offering enhanced performance while reducing costs. It is specifically engineered to harness the capabilities of contemporary cloud infrastructure, catering to the data requirements of today’s applications, thereby liberating developers from the constraints posed by conventional in-memory data solutions. Legacy software cannot fully exploit the advantages of modern cloud technology. With its optimization for cloud environments, Dragonfly achieves an impressive 25 times more throughput and reduces snapshotting latency by 12 times compared to older in-memory data solutions like Redis, making it easier to provide the immediate responses that users demand. The traditional single-threaded architecture of Redis leads to high expenses when scaling workloads. In contrast, Dragonfly is significantly more efficient in both computation and memory usage, potentially reducing infrastructure expenses by up to 80%. Initially, Dragonfly scales vertically, only transitioning to clustering when absolutely necessary at a very high scale, which simplifies the operational framework and enhances system reliability. Consequently, developers can focus more on innovation rather than infrastructure management.
Learn more
Logstar TOS
We take pride in providing our premier product, the Logstar Terminal Operating System (TOS), to three of the top eight global port operators. The Logstar TOS offers comprehensive visibility and control across multiple sites, making it adaptable to the evolving demands of your operations. Whether managing a single multi-purpose terminal or a network of terminals situated in different locations, Logstar equips you with exceptional tools to enhance the planning and management of container, cargo, and equipment movements within the intricate landscape of terminal operations. Shipping companies rely heavily on the efficiency promised by terminals, as quick vessel turnaround times are essential for maintaining schedules, optimizing slow steaming to lower costs, and ensuring that vessel resources are utilized effectively. With its cloud-based infrastructure, the Logstar TOS enables terminals to achieve these objectives through its customizable features and support for multiple sites, ensuring operational excellence in the logistics industry. Ultimately, this system empowers terminals to stay ahead in a competitive market while streamlining their processes and enhancing overall productivity.
Learn more
TCS DynaPORT
TCS DynaPORT is an all-purpose Terminal Operating System that can be used to plan, optimize, and automate marine terminal operations from order to invoice. It is currently used in over 80 terminals around the world, including the US, UK and India. The architecture is designed to provide configurable solutions for semi-automated, fully automated and manual terminals.
Learn more
