5 Reasons for Using Graph Database for Traceability
A Brief Introduction
Best Apps for Graph Databases
The Problem with Relational Databases
5 Reasons for Graph Databases
- Support hundreds of millions of records without significant impact on performance, as the data "traverses" across the various entity relationships.
- Easily add across the value chain workflow without significantly impacting the application performance or schema complexity. In a value chain these new nodes could represent new inspections, new value chain participants, or compliance points.
- Provide the highest level of user and data security, so that data contributors can only see their own data contribution and no other data, delivering the utmost in security and privacy.
- Allow various participants across the value chain to export natural data output from their IT systems as data input to a decentralized traceability system with no changes required for their databases. Very little additional work from their IT systems is required to contribute data that naturally is available in their system.
- Enable easy intuitive interpretation of data by using a node-link visualization, representing the full path between the source and destination nodes and all the interconnected entities between the two nodes.