The article addresses the problem of storing data in extreme environmental conditions with limited computing resources and memory. There is a requirement to create portable, fault-tolerant, modular database management systems (DBMS) that are optimized for use in embedded systems. Existing databases, such as LittleDB, LMDB, and Berkeley DB, are reviewed, and their limitations are identified. A variant of a portable DBMS is introduced to efficiently manage data in environments where computational resource usage must be minimized, while meeting specific requirements for fault tolerance and noise immunity. Common solutions for optimizing of insertion, storage and management of data are reviewed. Algorithms for fault-tolerant data encoding in RAM are implemented. An architectural solution to data storage and minimizing the impact of bit errors is proposed. Software that manages relational data in extreme conditions is developed, that allows testing and comparing results with existing solutions.