CGE Features

List of CGE's capabilities, such as CLI, UI, built in graph functions, query cancellation, APIs etc.

Major features of CGE are listed below:
  • An optimized query engine for high-speed parallel data analysis.
  • Support for submitting queries, updates and creating checkpoints.
  • A rich CLI.
  • The CGE graphical user interface, which acts as a SPARQL 1.1 end point. This interface enables editing SPARQL queries or SPARUL updates and submitting them to the CGE database. It also accepts a set of commands that allow users to perform various tasks, such as creating a checkpoint on a database, setting Name Value Pairs (NVPs) to control certain aspects of data preprocessing, and query processing etc.
  • SPARQL query language extension via the INVOKE and PRODUCING operators, which allow a classical graph algorithm to be passed an RDF graph and for the algorithm’s results to be returned as data that is compatible with SPARQL 1.1. This enables graph algorithm library calls to be nested within a SPARQL query.
  • Support for SPARQL aggregate functions.
  • Multi-user support.
  • Capability to cancel queries.
  • Compatibility with POSIX-compliant file systems.
  • Database preprocessing to apply inference rules to the data, as well as to index the data.
  • CGE Python, CGE Java and CGE Spark APIs
  • Support for a number of built in graph algorithms.