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Content Tagged with DBMS + SQL

Query Processing at Light Speed

MonetDB is a open-source database system for high-performance applications in data mining, OLAP, GIS, XML Query, text and multimedia retrieval.

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Query Processing at Light Speed

MonetDB is a open-source database system for high-performance applications in data mining, OLAP, GIS, XML Query, text and multimedia retrieval.

opensource: del.icio.us tag/opensource

Query Processing at Light Speed

<sep/>MonetDB is a open-source database system for high-performance applications in data mining, OLAP, GIS, XML Query, text and multimedia retrieval. MonetDB often achieves a 10-fold raw speed improvement for<sep/>

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picoSQL

small sql dbms embeddable FOSS

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Berkeley DB

Berkeley DB (libdb) is a compact, high performance programmatic toolkit that provides database functionality for both traditional and client/server applications via an API.

hsqldb

hsqldb is a relational database engine written in Java with a JDBC driver that supports a subset of ANSI SQL3.

Mckoi SQL Database

Mckoi SQL Database is a full featured SQL-92 relational database management system written in Java. The software can operate as either a dedicated multi-client, multi-threaded database server, or can be used as an embedded database inside a Java application.

The engine is designed to be easy to use and maintain and versatile for sophisticated database development tasks. The software provides a JDBC 2.0 driver.

MonetDB

MonetDB is a database management system developed from a main-memory perspective using a fully decomposed storage model, automatic index management, extensibility of data types and search accelerators, and SQL and XQuery frontends.

SQLite

SQLite is a small, fast, embeddable SQL database engine that supports most of SQL92, including transactions with atomic commit and rollback, subqueries, compound queries, triggers, and views.

PostgreSQL

PostgreSQL is a Object-Relational DBMS supporting almost all SQL constructs, including subselects, transactions, and user-defined types and more. The name comes from the fact that many of the original developers also worked on Ingres, and so this is the “post-ingres” database. Design for the system began in 1986, with an explicit goal of providing a database that completely supported types with the minimum number of features necessary. By the early 1990s, the database had reached a significant number of users. Around this time, its status as a University of California, Berkeley project ended, but due to the open source license, development continued, as it does to this day.

PostgreSQL is seen as the most popular open source database after MySQL, although it has in many ways more advanced and more mature implementations of key features, particularly those required by heavy-duty OLTP applications.

Useful links:

An overview of features.

Frequentlyl asked Questions

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