Why compromise between performance and interoperability?
Get the IoT time-series database with a rich graph model.

Graph Queries

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.

Open Source and Cross Platform

TritanDB is licensed under the Apache License 2.0, so you can use it commercially! It is also built with Kotlin and runs on the JVM across many platforms.

Learn more, see the source code or dive in and get started!

Getting Started

You can download TritanDB for free on Github or if you're adventurous you can try building it from source.

Download TritanDB


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.