Compare Empress RDBMS vs. Oracle TimesTen in 2025

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Description

The Empress Embedded Database engine serves as the vital component of the EMPRESS RDBMS, which is a relational database management system that excels in embedded database technology, powering everything from automotive navigation systems to essential military command and control operations, as well as Internet routers and sophisticated medical applications; EMpress consistently operates around the clock at the heart of embedded systems across various industries. One standout feature of Empress is its kernel level mr API, which offers users direct access to the libraries of the Embedded Database kernel, ensuring the quickest way to reach Empress databases. By utilizing MR Routines, developers gain unparalleled control over time and space when creating real-time embedded database applications. Furthermore, the Empress ODBC and JDBC APIs allow applications to interact with Empress databases in both standalone and client/server environments, enabling a variety of third-party software packages that support ODBC and JDBC to easily connect to a local Empress database or through the Empress Connectivity Server. This versatility makes Empress a preferred choice for developers seeking robust and efficient database solutions in embedded systems.

Description

Oracle TimesTen In-Memory Database (TimesTen) enhances real-time application performance by rethinking the runtime data storage approach, resulting in reduced response times and increased throughput. By utilizing in-memory data management and refining data structures alongside access algorithms, TimesTen maximizes the efficiency of database operations, leading to significant improvements in both responsiveness and transaction throughput. The launch of TimesTen Scaleout introduces a shared-nothing architecture that builds on the existing in-memory capabilities, enabling seamless scaling across numerous hosts, accommodating vast data volumes of hundreds of terabytes, and processing hundreds of millions of transactions per second, all without requiring manual sharding or workload distribution. This innovative approach not only streamlines performance but also simplifies the overall database management experience for users.