Uses the SPARQL graph query language which is syntactically similar to SQL and already widely used in the Semantic Web.
Integrate all your metadata and data into the same flexible, rich graph model. Use an ontology or schema to design data to comply with standards.
Best-of-class compression specifically optimised for time-series data. Fast queries and aggregation utilising TrTables and fast ingestion with the disruptor pattern.
It’s no secret that the so-called “Internet of Things” isn’t about the Things, but the data. And it is a lot of data. How to store and maintain the time-series data and interoperability metadata is an emerging challenge for engineering teams.
We are working on a paper that introduces the novel design of TritanDB.