Amazon Aurora vs. MySQL vs. OneStep-JV vs. python-sql Comparison Chart

Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. It provides the security, availability, and reliability of commercial databases at 1/10th the cost. Amazon Aurora is fully managed by Amazon Relational Database Service (RDS), which automates time-consuming administration tasks like hardware provisioning, database setup, patching, and backups. Amazon Aurora features a distributed, fault-tolerant, self-healing storage system that auto-scales up to 64TB per database instance. It delivers high performance and availability with up to 15 low-latency read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across three Availability Zones.

POS system brings the most advanced technology available in a full-featured suite of applications for retailers and distributors. The OneStep-JV™ Point of Sale system combines the power and flexibility of Java and Oracle. Written in Java with Oracle as the embedded database at its foundation, OneStep-JV™ point of sale systems bring the most advanced and reliable technology and inventory management software available to achieve operational stability and cross-platform portability for retailers and distributors. The use of Java enables the operation of OneStep-JV™ POS systems on single-user computers, small and very large-scale networks and portable devices like Palm Tops running over a multitude of operating systems such as Windows and Windows Networks, Novell, Unix and Linux. The stability of Oracle gives OneStep-JV™ POS systems a resilient database foundation designed with auto-recovery features to enable database and inventory control software integrity.