The dynamicity of semantic data has propelled the research on RDF Archiving, i.e., the task of storing and making the full history of a large RDF dataset accesible. That said, existing archiving techniques fail to scale when confronted to very large RDF archives and complex SPARQL queries. In this demonstration, we showcase GLENDA, a system capable of running full SPARQL 1.1 compliant queries over large RDF archives. We achieve this through a multi-snapshot change-based storage architecture that we interface using the Comunica query engine. Thanks to this integration we demonstrate that fast SPARQL query processing over multiple versions is possible. Moreover our demonstration provides different statistics about the history of RDF datasets. This provides insights about the evolution dynamics of the data.