Data Graphs

Data Graphs is a fully-managed "Knowledge Graph as a Service" platform offered by Data Language. According to the vendor, the platform is designed to help businesses manage structured data, build knowledge graphs, and integrate them with their applications and business systems. The product is suitable for companies of all sizes, from small startups to large enterprises. It is used by information professionals, content managers, data managers, knowledge graph architects, as well as the media and entertainment industry.

Key Features

Visual domain model builder: According to the vendor, Data Graphs provides a visual user experience for constructing domain models and ontologies. Users can create and manage their domain models using an intuitive visual interface.

Intuitive data management UI: Data Graphs offers an intuitive user interface for managing data models. Users can search, explore, and curate their data with ease. The UI provides tools for data management, allowing users to add, edit, and delete data.

Fully managed service: Data Graphs is a fully managed platform, eliminating the need for users to maintain infrastructure or perform engineering tasks. According to the vendor, the platform takes care of maintenance and ownership, reducing total cost and effort for users.

Visual graph explorer: Data Graphs includes a graph explorer that allows users to navigate and visualize connectivity within their data. Users can explore relationships and connections between data entities in a visual and interactive manner.

Supports open data standards: According to the vendor, Data Graphs supports open standards such as RDF and Property-Label graphs, including JSON-LD and Cypher for query. Users can leverage these open data standards to ensure compatibility and interoperability with other systems and tools.

Webhooks for event-based integration: Data Graphs offers webhooks that allow users to integrate the platform with their business systems using event-based architecture patterns. According to the vendor, users can easily set up webhooks to trigger actions and exchange data between Data Graphs and other applications.

Comprehensive and expressive API: Data Graphs provides a richly featured API with full read/write and query capabilities. According to the vendor, the API is easy to develop with and integrate into existing systems, allowing users to interact with their data programmatically.

Cypher graph query language: Data Graphs supports the Cypher query language, enabling users to query their graph data using Cypher queries. According to the vendor, users can use Cypher to retrieve specific data, perform complex graph traversals, and gain insights from their knowledge graph.

Geospatial Data: Data Graphs allows users to manage and visualize spatial data, including support for WGS84 latitude and longitude coordinates, geohashes, location inference, and geospatial API queries. According to the vendor, users can store and query geospatial data within their knowledge graph, enabling spatial analysis and visualization.