Interconnect Heterogeneous Data Sources and Processors
metatron offers a concise, expressive, and efficient way to define and manipulate data structures encoded within and between data sources. It is designed to be used across a wide range of applications, from home automation enthusiast projects to large-scale master data management systems.
metatron is founded on a referential record-oriented data model and schema that enables the interconnectivity and seamless processing of algebraically typed data structures embedded across relational databases, graph databases, web servers, JSON documents, MQTT brokers, AI vectors, IoT microprocessors, file systems, and more.
A Graph Computing Platform
Enoch leverages Metatron to provide a distributed graph-oriented database, analytics engine, server, file system, and web framework.
Modern graph applications that leverage Apache TinkerPop™ can gain new storage, processor, and language capabilities with Enoch's backwards compatible support and forward reaching features.
Supporting the Graph Computing Community
Open source distributed storage and transactional technologies have made great strides in advancing the classical requirements of fault tolerance, tunable consistency, speed of reading/writing, and of recently, ease of use for both operations and developers. However, query languages and compilers still remain a neglected area of focus. Fortunately, the graph community has spent the last decade focused primarily on graph query languages--as this is what makes graphs useful. Our primary expertise lies in extending existing data systems with graph capabilities so clients can perform queries that by most any measure would be deemed unreasonable to express and execute in non-graph languages.
On Demand Graph Computing
Start using Enoch.
Today.
Right Now.
Hot Datasets, as a Service
Curated Datasets
Continuous Updates
Instant access
Gremlin queries.
Pay as you go.
Bitcoin and Ethereum take days or weeks to sync a new node,
require dedicated computers and non-trivial bandwidth,
and teams take months to build tooling.
We make it easy for you to query today's most popular dataset
with the best in class query language