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Avalon Excalibur's DataSource package allows you to manage pooled connections in one of two ways. You can have the package handle it for you, or you can use a J2EE server's DataSource management. It provides the same kind of access regardless of which method you choose, since they are obtained through Avalon's Component Manager infrastructure. The DataSource package requires that you load the necessary driver classes at init time, but it will take care of all necessary issues from there.

Avalon Excalibur's DataSource package allows you to manage pooled connections in one of two ways. You can have the package handle it for you, or you can use a J2EE server's DataSource management. It provides the same kind of access regardless of which method you choose--since they are obtained through Avalon's Component Manager infrastructure. The DataSource package requires that you load the necessary driver classes at init time, but it will take care of all necessary issues from there.

A secure, REST administrative connector that can be used locally or remotely using any Java developer kit. This connector enables remote access from a Java client or directly through an HTTPS call. The administrator and reader roles protect the connector. The connector requires TLS to keep the communication confidential. The HTTPS port used by the connector is defined through the default HTTP endpoint. This feature supersedes the restConnector-1.0 feature. It enables the REST handler configuration APIs. When this feature is combined with features supporting configuration validation, the corresponding REST handler validation APIs are enabled.

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 (eg. 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 (eg. Web-APIs) (3) algorithms for query-answering over heterogeneous and federated data based on query rewriting and/or forward chaining (or chase)