AtomicDB is a data ingestion and storage tool inspired by human memory. It addresses challenges of heterogeneous and complex cyber-physical system data by storing data as "atoms" in a common associative vector space, rather than in tables. This allows for a unified representation of any data type. Relationships between data atoms are formed based on attributes and stored as tokens, enabling fast retrieval and correlation of semantically related information without additional searching. The tool provides three distinct associative dimensions to model different functional perspectives.