Displaying 1 to 10 from 43 results
VoltDB was specifically designed for contemporary software applications that are pushed beyond their limits by high volume data sources. VoltDB provides the ability to capture, store and process incoming data at millions of read/write operations per second. And VoltDB’s relational model opens that data to be analyzed in real-time, using familiar Business Intelligence tools, to identify data patterns and trends, spot anomalies, or perform tracking and alerting.
InfiniDB Community Edition is a scale-up, column-oriented database for data warehousing, analytics, business intelligence and read-intensive applications. InfiniDB's data warehouse columnar engine is multi-terabyte capable and accessed via MySQL.
LucidDB is the RDBMS built entirely for data warehousing and business intelligence. It is based on architectural cornerstones such as column-store, bitmap indexing, hash join/aggregation, and page-level multi versioning. Every component of LucidDB was designed with the requirements of flexible, high-performance data integration and sophisticated query processing in mind.
HyperSQL supports the widest range of SQL Standard features seen in any open source database engine. It offers a small, fast database engine which offers in-memory and disk-based tables and supports embedded and server modes.
Java DB is Sun's supported distribution of the open source Apache Derby 100% Java technology database. It is fully transactional, secure, easy-to-use, standards-based — SQL, JDBC API, and Java EE — yet small, only 2.5 MB.
Metakit is an embedded database library with a small footprint. It fills the gap between flat-file, relational, object-oriented, and tree-structured databases, supporting relational joins, serialization, nested structures, and instant schema evolution
Activejdbc - Implementation of Active Record pattern in Java. Inspired by Ruby on Rails ActiveRecord
IntroductionActiveJDBC is a Java implementation of Active Record design pattern. It was inspired by ActiveRecord ORM from Ruby on Rails. For more information on features of ActiveJDBC, see the Features page. IntroductionFeaturesNewsDesign principlesProgramming modelHow to queryPaging through dataCreating new recordsUpdating a single recorddeleting a recordHow to downloadHow to buildWhat ActiveJDBC is notGetting StartedSupported databasesSupportFrequently Asked QuestionsWant to contribute? Featur
An Object relational JDBC framework based on Apache DbUtils. FeaturesMap JDBC resultset to POJOs Support for aggregation and inheritance of POJOs Named SQL query execution Stored procedure support Support for dynamic SQL queries Support for subqueries Not all features are implemented. It is a Work In Progress. Why BeanQuery is based on Apache DbUtils?Apache DbUtils is a small set of classes which can populate POJOs on execution of SQL SELECT queries. BeanQuery utilizes Apache DbUtils classes and
This is an DB abstraction layer. Basically its an Object-relational mapping for Erlang. Questions to alfrice at gmail dot com A copy of the Java hibernate idea but implemented in Erlang, it uses erlydtl (erlang implementation of django) to create modules and header files and odbc to access the database (I hate odbc by the way :) ) I am developing this project for small and pet application, so expect something buggy and only tested for MySQL! There are lots of improvements to make for this projec