Download JAR files tagged by rewriting with all dependencies

A library for analyzing, processing, and rewriting views defined in the Hive Metastore, and sharing them across multiple execution engines

A library for analyzing, processing, and rewriting views defined in the Hive Metastore, and sharing them across multiple execution engines

A library for analyzing, processing, and rewriting views defined in the Hive Metastore, and sharing them across multiple execution engines

A library for analyzing, processing, and rewriting views defined in the Hive Metastore, and sharing them across multiple execution engines

Slider is designed to deploy existing applications onto a YARN cluster without rewriting the application to be YARN-ready.

UrlRewriter is an open-source, light-weight, highly configurable URL rewriting component for Java. It provides similar capabilities that the Apache web server provides with mod_rewrite and .htaccess.

InteGraal has been designed in a modular way, in order to facilitate software reuse and extension. It should make it easy to test new scenarios and techniques, in particular by combining algorithms. The main features of Graal are currently the following: (1) internal storage to store data by using a SQL or RDF representation (Postgres, MySQL, HSQL, SQLite, Remote SPARQL endpoints, Local in-memory triplestores) as well as a native in-memory representation (2) data-integration capabilities for exploiting federated heterogeneous data-sources through mappings able to target systems such as SQL, RDF, and black-box (e.g. Web-APIs) (3) algorithms for query-answering over heterogeneous and federated data based on query rewriting and/or forward chaining (or chase)

InteGraal has been designed in a modular way, in order to facilitate software reuse and extension. It should make it easy to test new scenarios and techniques, in particular by combining algorithms. The main features of Graal are currently the following: (1) internal storage to store data by using a SQL or RDF representation (Postgres, MySQL, HSQL, SQLite, Remote SPARQL endpoints, Local in-memory triplestores) as well as a native in-memory representation (2) data-integration capabilities for exploiting federated heterogeneous data-sources through mappings able to target systems such as SQL, RDF, and black-box (e.g. Web-APIs) (3) algorithms for query-answering over heterogeneous and federated data based on query rewriting and/or forward chaining (or chase)