BASIC vs. GAUSS vs. Java vs. Oracle NoSQL Database Comparison Chart

An easy-to-use data analysis and visualization environment based on the powerful, fast and efficient GAUSS Matrix Programming Language. Prototype to production: Embed custom GAUSS analytics directly in enterprise or web-applications. Customizable programs that extend the GAUSS platform in the fields of econometrics, finance, risk analysis, statistics and more. You can code ideas and techniques straight from the latest journals in GAUSS as quickly as you can with a pen and paper. The GAUSS matrix language is the most natural way to bring cutting edge math, statistics and machine learning to life. GAUSS is the product of more than three decades of innovation and refinement of efficient, native code. This combined with our optimizing compiler and modern threading capabilities, allows you to get your answers before the competition.

Oracle NoSQL Database is designed to handle high-volume, high-velocity data applications requiring low-latency responses and flexible data models. It supports JSON, table, and key-value data types, and operates both on-premise and as a cloud service. The database scales elastically to meet dynamic workloads and provides distributed data storage across multiple shards, ensuring high availability and rapid failover. It includes Python, Node.js, Java, C, C#, and REST API drivers for easy application development. Additionally, it integrates with Oracle products such as IoT, Golden Gate, and Fusion Middleware. Oracle NoSQL Database Cloud Service is a fully managed service, freeing developers from backend infrastructure management. Oracle NoSQL Database Cloud Service is a fully managed database service for developers who want to focus on application development without dealing with the hassle of managing the back-end hardware and software infrastructure.