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Deploy Red Hat Enterprise Linux on Microsoft Azure for a secure, reliable, and scalable cloud environment, fully integrated with Microsoft services.
Red Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.
CliqueSquare is a system for storing and querying large RDF graphs relying on Hadoop’s distributed file system (HDFS) and Hadoop’s MapReduce open-source implementation. It provides a novel partitioning and storage scheme that permits 1-level joins to be evaluated locally using efficient map-only joins. In addition, CliqueSquare is equipped with a unique optimization algorithm based on graphs and cliques capable of generating highly parallelizable flat query plans relying on n-ary equality joins.
FyDB is a distributed in-memory no-SQL DB. It supports distributed deployment, and can integrate heterogeneous data sources. Data of FyDB is stroed in memory as key-value structure, and it is also persistent.
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CloudBase is a data warehouse system for Terabyte & Petabyte scale analytics. It is built on top of Map-Reduce architecture. It allows you to query flat log files using ANSI SQL. Visit CloudBase home page for details- http://cloudbase.sourceforge.net
The D2RQ API provides access to relational database content from within the Jena and Sesame RDF frameworks. D2R Server is a Semantic Web server and SPARQL endpoint based on D2RQ. Both use a declarative language for mapping database schemata to RDF.
Small, simple and robust database in Java. If you need a persistent hash map, this is for you. It is basically as fast as it gets without caching, but doesn't offer any non-basic features like transactions or concurrent access.
AJAX JDBC ResultSet in Javascript. Uses XMLHTTP to send xml server data to a web browser HTML form with no refresh, reload or submit (like Google Suggest). Data can be SQL, object relational map (like Hibernate), XML, other mapping (like SOAP)
TM4J is a topic map engine implemented entirely in Java. Topic maps are a standard paradigm for the interchange of knowledge structures. This project aims to produce a complete suite of tools for creating, processing and publishing topic map information.