Graph Database Interface Visual Query Builder
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Solution Overview
Problem
Existing systems for interacting with graph databases are challenging for end users, analysts, and administrators due to the need for specialized query languages like Cypher or GraphQL, and the difficulty in converting hierarchical data into easily digestible tables.
Innovation Solution
A no-code graph database interface system that allows users to construct queries visually, generating tabular responses without requiring knowledge of graph query languages, and enabling interaction with arbitrary graph databases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If specialized query languages like Cypher or GraphQL are used to interact with graph databases, then query functionality and power are improved, but user accessibility and ease of operation deteriorate
Solution Approach 1:
The patent introduces a visual query builder interface as an intermediary between users and the graph database query language. This mediator translates user-friendly visual selections into sophisticated Cypher or GraphQL queries automatically, allowing users to access powerful query functionality without learning specialized languages. The visual interface acts as the intermediary layer that bridges the gap between simple user interactions and complex database operations.
2Ease of operation
If hierarchical data from graph databases is converted into tabular format, then ease of data consumption is improved, but data structure fidelity and information completeness may deteriorate
Solution Approach 1:
The patent transforms hierarchical graph data into tabular format by adding dimensional context through relationship tracking columns. Instead of losing hierarchical structure, the system preserves it by incorporating relationship path information, source node identifiers, and relationship type indicators as additional dimensions in the table. This allows users to consume data easily in tabular form while the underlying system maintains complete fidelity to the original graph structure through these supplementary dimensional attributes.
3Adaptability or versatility
If custom solutions are developed for each graph database interaction scenario, then specific requirements are met, but development cost and system complexity increase
Solution Approach 1:
The patent creates a universal visual query builder interface that can handle multiple graph database interaction scenarios through a single unified system. Rather than developing custom solutions for each scenario, the system provides a multi-functional platform that adapts to different query needs through configurable visual parameters, dataset selections, and relationship type choices. This universal interface reduces development costs by eliminating the need for separate custom applications while maintaining adaptability to various specific requirements through its flexible visual configuration options.
Data Source
AI summary
A graph database interface system can facilitate code-free user interaction with a graph database. A graph database including a plurality of nodes connected via a set of relationships can be accessed. The nodes are elements of a dataset of a set of datasets. The relationships have a relationship type of a set of relationship types. The relationships between nodes of a given dataset and an additional dataset have a given relationship type associated with the given dataset and the additional dataset. A graphical interface can be generated to visually represent the sets of datasets and relationship types. A user input can be received via the graphical interface indicating a first dataset. A query of the graph database can be generated based on the user input. A response to the query can be received. The response can be displayed as a table via the graphical interface.