Search Results for "high performance computing" - Page 2
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Showing 53 open source projects for "high performance computing"
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Objective database abstraction layer (ODAL) is a high-performance database manipulation framework. Features include query API, O-R mapping, data validation/conversion, stored procedure support, code generation. Minimal dependencies. Short startup time.
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PriDE is a thin and high-performance Java O/R mapper for relational databases. It does not follow any persistence management standards like JDO or EJB-CMP but relies on common design patterns and is production-proved in both J2SE and J2EE environments.
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iBoxDB
flexible nosql database for java .net android windows phone
Traditional way deal with data, with NoSQL fashional styles, pure java c# database, not only CURD and QL, but also Replication services. for java android : https://github.com/iboxdb/forjava for .net windows phone : https://iboxdb.codeplex.com/ benchmark : https://github.com/iboxdb/forjava/wiki/Benchmark-with-MongoDB -
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Graph Database
A robust, reliable, user-friendly, and high-performance Graph Database
This is an academic project to build a graph database, supporting multiple users, with fully functioned data query, data manipulation and indexing mechanism. It is running in a distributed client-server mode. This project is assigned to final-year project from group IT121B, Bachelor of Computing, University of Wollongong. -
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BlackRay is a persistent in-memory high performance relational database written in C++. It combines regular database features with search engine like performance. Please visit https://forge.softmethod.de for the main development site.
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BlackRay is a high performance relational database, which combines regular database features with search engine like performance. Full transaction support, SQL and version controlled persisted snapshots characterize BlackRay.
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ConnFarm is a high-performance database connection pool. The feature-set includes idle connection management, timeout controls, connection leak debugging capabilities, and JMX monitoring.
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HadoopDB is a hybrid of parallel database and MapReduce technologies. It approaches parallel databases in performance and efficiency, yet still yields the scalability, fault tolerance, and flexibility of MapReduce systems.
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SHARD is a proof-of-concept high-performance, low-cost distributed computing technology to develop a highly scalable triple-store (aka rdf-store, graph-data store) built on Hadoop and HDFS. http://www.dist-systems.bbn.com/people/krohloff/shard.shtml
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DBPrism is a framework to generate dynamic XML from a database, it provides an high performance DBGenerator for Cocoon2. Also is a J2EE replacement for Oracle mod_plsql. This project also includes a Restlet-Oracle connector exam. and Lucene Domain In
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The JotScale project is a cluster of servers implementing a highly scalable object storage system combined with a high performance http server and a subscription system. Jotscale now depends upon Mojasi (same trunk). Pure Java. Source only.
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BaseX is a light-weight, high-performance and scalable XML database system and XPath/XQuery processor, including full support for the W3C Update and Full Text extensions. The issue tracker has been moved to https://github.com/BaseXdb/basex/issues
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Egothor is a high-performance, full-featured text search engine written entirely in Java. It is a technology suitable for nearly any application that requires full-text search.
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The project intended to produce light, fast, reliable software for paging data under JVM. During this project API and SPI must be developed as well.
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An open source data version repository model based on true INSERT only logic. Contains high performance support for data versioning and history. Enables point-in-time query and CDC sourcing including mapping each change to a transaction.
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Lightweight high performance Object Relational Mapper for Java Objects. Persist simple Pojos or complex objectgraphs without any configuration. Supports: multi-threaded sessions, Inheritance, Interfaces, recursive object-graphs, embedded objects, ... see
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Tokyo Cabinet is the successor of QDBM, a high performance database library similar to the DBM family. It also supports hash and B-tree databases and does not require any server process. The overall speed is improved compared to QDBM.
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dcoat is a orm solution base relation database. 1, Easy to learn, simple to use. 2, High performance. 3, Comfortable and clean programming. 4, High productivity.
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Oxygen Persistence Framework (http://oxygen.io) - highly flexible, high performance, layered object relational mapping framework with clustered loading, oosql and pluggable feature architecture. It is used in large projects already.
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Total Recall is a high performance, easy to use, Object Relational Database persistance layer that requires absolutely no XML metadata.
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The Sino Project is an Open Source initiative that utilized code developed by the Chinese government. Sino Linux Middleware v3.0 and Mobile Business Application Suites are built and tested in conjunction with the OSDL in a high volume, enterprise read
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High performance database independent java web framework. Provides a generic SQL variant to speed up development.
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SMYLE is the Storage that Makes Your Life Easier: a versatile, highly reliable, high performance, convenient, transactional, cross-platform database for Java applications. Smyle is seamlessly integrated with Java and not an alien artifact like SQL.
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This project is no longer being pursued. There are several JDO impls undergoing development including OJB, XORM, TJDO, etc. Give them a try! Sparrow is a high performance transparent persistence service (aka. Object Database) implementing the Java Dat
