Search Results for "layer"

Cube is the semantic layer for building data applications. It helps data engineers and application developers access data from modern data stores, organize it into consistent definitions, and deliver it to every application. Cube was designed to work with all SQL-enabled data sources, including cloud data warehouses like Snowflake or Google BigQuery, query engines like Presto or Amazon Athena, and application databases like Postgres.

This library provides a thin abstraction layer over the Redland librdf library. It provides a simple to use C++ interface for RDF data. This is a component of the SASSY project. Please note that this code is at the prototyping phase. New features will be added as they are identified as a requirement for other SASSY projects. If you think that this software would be useful in your project, but need additional features please raise a ticket describing your requirement.

This project is no longer actively maintained. It is succeeded by the Eclipse RDF4J project, which can be found at GitHub and at http://www.rdf4j.org/. Sesame is a de-facto standard framework for processing RDF data. This includes parsing, scalable storage, reasoning and full SPARQL 1.1 query/update support. Sesame offers a fully modular toolkit and an easy-to-use Java API that can be connected to all leading RDF storage solutions.