TerminusDB is a new open source model driven graph database for knowledge graph representation. It is open source, released under the terms of the GNU GPL v3.
More info about TerminusDB:
The event is kindly sponsored by Data Chemist.
18:00 - Arrival and networking
18:20 - Intro by Federico Razzoli, database consultant
18:30 - Community lightning talks
19:00 - Pause with food and drinks, kindly offered by Data Chemist
19:10 - Talk: "Introduction to TerminusDB", by Gavin Mendel-Gleason, CTO @ Data Chemist
>> Introduction to TerminusDB
This talk will introduce TerminusDB
TerminusDB by DataChemist is a model driven graph database designed specifically for the web age. It has a number of novel features that make it especially suitable for complex multi-hop queries and amalgamating & querying integrated datasets.
TerminusDB makes data usable when it counts – right now. That starts with breaking the cycle of repeatedly copying and transforming data for each new project. There’s always more data — new external data streams, new data sources, new acquisitions with their own data. TerminusDB’s extensible data model easily incorporates new sources while maintaining original schemas and metadata. Knowledge graphs are built to represent real-world entities and their complex relationships to one another. Compared to the rigidity of a relational database structure, a knowledge graph can maintain multiple points of view simultaneously.
A few particularly relevant features are:
TerminusDB can generate code for presenting, updating and validating all the complex datatypes that are defined in its schema.
Speed - TerminusDB is a highly compressed in-memory query engine which was designed to traverse billion node graphs fast - we think it's faster than anything out there - for an SQL comparator, we can do about a million joins a second on 100 million row tables. This is far faster than other systems.
TerminusDB has a very expressive schema language compared to other databases, this allows us to capture even the most complex relationships and data models.
>> Speaker: Gavin Mendel-Gleason
Gavin Mendel-Gleason is a doctor of computer science, specialising in type theory and formal methods. He has worked in industry in big-data modelling, search and query optimisation and in both supervised and unsupervised machine learning techniques. His passion is creating a synthesis of logical techniques for knowledge representation and reasoning with modern machine learning techniques to create the database of the future
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