Multidimensional Associative Array Database

Databases traditionally operate on relational models, implementing complex coding constructs like SQL for their operations. These systems work within a rigid schema and transaction atomicity that tend to impose significant transactional overhead. The current approaches also constrain flexibility because they are bound by the need to maintain global consistency and transaction atomicity. It is evident that there is a need for a less rigid and more flexible approach to data representation and retrieval. Existing relational models have a significant issue, the maintenance and retrieval of data are often complicated and expensive in both time and resources because of the rigid schema and the need for transaction atomicity. A more flexible model would deliver more efficient results, particularly for data that change over time and do not necessarily rely on global consistency.

Technology Description

This technology is an associative array that stores data in matrix form to optimize linear algebra operations. In comparison to traditional models, this approach takes advantage of algebraic engines to implement standard linear algebra computations, simplifying the coding constructs and database operations. The associative arrays are not confined by rigid schemas or transaction atomicity that usually result in transactional overheads. Instead, these arrays store only non-null entries as tuples that can easily respond to linear algebra operations. What sets this technology apart is its inherent flexibility and diminished dependence on global consistency or transaction atomicity for retrieving useful results. The relaxing of consistency recognizes that many database queries are aimed at retrieving data that often change over time. In contrast to traditional models like SQL, this technology greatly reduces the complexity and cost associated with maintaining and processing database operations.