Decentralized Information Sharing and Workflow Collaboration for the Desktop.
Based on Apex ForeverDB™, DomainMaster's database management system offers a new information model designed to capture the dimensions of time and truth in a distributed transaction capability built from the ground up for semantic interoperability. Translated, this means that sharing a source of truth about which everyone can reason at any transaction point in time has never been easier. DomainMaster makes it possible to synchronize domain data across systems of record, even across organizational boundaries, in ways that a few years ago seemed impossible.
Take a dip in your own virtual private "data lake"—although we prefer the metaphor of a digital river—the water is great and the experience is refreshing! You've truly never experienced anything quite like swimming in raw data and experimenting with its many different "shapes" until the right way to organize it for your needs emerges simply from using it. DomainMaster's "Domain Explorer" is a uniquely productive way to go from raw data to business-critical domain knowledge in the fewest possible steps. Use scripting, SQL and SPARQL together interactively to move mountains of information with unparalleled ease and confidence!
Blockchain isn't just for bitcoin or cryptocurrency! DomainMaster uses it to make sharing data over ad hoc networks a breeze, with strong guarantees that everyone's copy of the data is complete and uncorrupted. The immutable nature of blockchain data is an integral aspect of DomainMaster's information model, with great auditing and reporting features that seem magical compared to conventional database management systems. Use long-term storage to maintain a single source of truth and powerful reports you can rely on every day!
Sharing data means continually refining and vetting new information. With DomainMaster, arbitrarily complex and completely decentralized workflows can be created to manage data reconciliation. Corrected information propagates according to the same unidirectional data flow as any other novelty that enters the system, providing assurances that errors are caught before they can update systems of record. At the very least, the manner in which error entered the system can be audited and workflows adapted over time to improve overall accuracy.