The OODBMS/DBMS ODABA is an terminology-oriented database management system (TODBMS) on a high conceptual level. This is an extension of the ODBMS concept according to ODMG 3. It provides a number of enhanced features based on natural language analysis. Beside the database kernel, a number of tools are provided for database design, documentation, and fast development. ODABA provides a powerful interface (C++, .NET) and an ODABA Script Interface (OSI), a C++/JAVA like scripting language, which provides easy access to the database.
Fathom is Python3 package that provides database inspection. It allows you to easily retrieve information about database schema for Sqlite3, PostgreSQL, MySQL, and Oracle. Fathom comes with a set of tools built upon the library, which allow you to create django models from database schema or generate entity-relationship diagrams.
cookingwithgas is a mobile Web-based recipe management system. It uses JQuery Mobile to generate a UI that is designed for mobile devices like Android phones and iPhones. It features an arbitrary tagging system so that you can organize and browse your recipes in a variety of different ways; search by title, tag, etc.; import from and export to other systems using XML; generation of PDF recipe cards (4"x6" index cards), and sharing recipes via email.
VoltDB is a blazingly fast relational database system. It is specifically designed to run on modern scale-out architectures: fast, inexpensive servers connected via high-speed data networks. It is aimed at a new generation of database applications - real-time feeds, sensor-driven data streams, micro-transactions, low-latency trading systems - requiring database throughput that can reach millions of operations per second. What’s more, the applications that use this data must scale on demand, provide flawless fault tolerance, and enable real-time visibility into the data that drives business value. It includes client application drivers for applications written in Java, C++, C#, PHP, and Python. VoltDB community members have also authored client libraries for Erlang, Ruby and Node.js. There are streaming export capabilities for leading analytic database environments, including Apache Hadoop.
MySQLi Query is a class that executes queries from parameter lists using MySQLi. It extends the MySQLi class with functions that can compose and execute SELECT, INSERT, UPDATE, DELETE, REPLACE, and HANDLER queries with parameter values that define tables, fields, field values, conditions, etc. The class destructor function disconnects from the MySQL server.