Empower Your Operation with Data Treehouse
Our solutions
We believe in openness, standardization, flexibility and freedom to operate. If you do not want to be locked into a platform, vendor or cloud provider - Data Treehouse is offering an open alternative.
chrontext®
chrontext - an Open Semantic Integration Technology
At Data Treehouse, we provide open source semantic integration technologies that protect your existing investments in platforms & infrastructure while leveraging the value of OT data.
​
chrontext is a semantic integration technology targeting use cases in analytics and data science, allowing you to use a knowledge graph to access analytical data across infrastructures, supporting solutions found in on premise architectures such as time series databases and the data lakes of the cloud. With chrontext you get the flexibility and scalability you need to leverage data in your operation.
​
chrontext is based on open web standards such as SPARQL and RDF, and supports OPC UA. With chrontext you can analytics-enable your existing OPC UA models, enabling context-based access to analytical data both in OT, on the edge or in the cloud.
maplib®
maplib - a Knowledge Graph Construction Tool
​
​It is little use having high quality time series data without the context to understand its relation to an asset and the processes that occur there. Many companies do have context and knowledge crucial to making use of data, but it is stored in a multitude of technologies such as OT systems or proprietary databases.
​
maplib allows you to build and enrich harmonized knowledge graphs from these sources, either using a standardized modelling framework, or by using your own. The knowledge graph is built using open web standards. Effectively, this frees context from the grip of proprietary systems, and empowers data scientists to understand what the data is about, and to find what they need themselves. maplib itself defines mappings using open standards, and has excellent interoperability with Dataframes cherished by Data Engineers. It does so interactively, and allows you to validate and inspect results as you go, leaving behind a mapping with proper test coverage that can safely be extended.
​
We believe you should own your own mapping, but we can help you get started with staff training, a solid foundational mapping that provides value from the get go, with a setup following established software engineering practices that is easy to extend as you see fit.
querymesh®
querymesh - a Operational Data Mesh
​
At Data Treehouse, our overarching goal is to enable you to create value from your operational data. Context enabled queries over analytical data sets will provide the first level of querymesh, the Operational Data Mesh, where data products are created, maintained and managed in a sustainable and scalable way.
​
Data products can then be added and managed into a data catalogs supporting uniform access control across infrastructures, providing a fully featured layer of abstraction that frees you from vendor lock in. Query-defined data products and access control using our technologies are inherently portable, and your application portfolio and access control rules can be easily applied to new assets and acquisitions, even though it may use different technical infrastructure.
​
This is why we have called our company Data Treehouse! Treehouses are easy to attach to existing infrastructure, providing overview of the data landscape, and draws on deep roots in source systems to properly contextualize that landscape.
​
Why choose data Treehouse?
We believe in openness, standardization, flexibility and freedom to operate. If you do not want to be locked into a platform, vendor or cloud provider - Data Treehouse is offering an open alternative.
Data Treehouse AS
Org. nr: 931 863 568
Contact
info@data-treehouse.com
Kobben Incubator,
Forskningsparken i Vestfold,
Raveien 205,
3184 Borre,
Norway