With the rapid development of science and technology, the computer industry is constantly updated, and database optimization has become a popular research direction. The purpose of this article is to address the limited storage capacity and processing efficiency of traditional computer databases. This paper delves into the data collection methods and data processing processes of traditional computer databases. In view of the shortcomings and shortcomings of traditional computer databases, this paper combines artificial intelligence technology and neural network algorithms to initially optimize them to verify the optimization effect of this paper on traditional computer databases. This article will conduct comparative experiments on the application of optimized computer databases and traditional computer databases. From the experimental results, it can be concluded that optimizing the data processing time of computer databases takes less time to process the same information samples than traditional computer databases, and the data processing effect is also improved by about 13.5.This paper optimizes and upgrades the data processing capabilities of traditional computer databases.