A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data. Unlike traditional databases organized in rows and columns, graph databases ...

Graph data science is when you want to answer questions, not just with your data, but with the connections between your data points — that’s the 30-second explanation, according to Alicia Frame.

The price of The Graph (GRT) is $0.081 today as of Jul 8, 2025, 1:33 am EDT, with a 24-hour trading volume of $18.38M.

Microsoft Graph Data Connect enables scaled access to Microsoft 365 data with fine grained consent model, integrated with compliance and governance, to enable analytics and big data applications on ...

Graph databases use graph structures for semantic queries, providing a more flexible and efficient way to manage relationships between data.

History of The Graph . Launched in 2018, The Graph is a decentralized network providing a user-friendly wallet and platform for developers to access blockchain data.

Figure 1. A free software tool (Engauge Digitizer), automatically digitizes data from a graphical image. In this example, PSRR data for the TLV70233 is digitized from a typical operating curve ...

Graph (i.e., data): A data structure based on nodes and edges that enables integrating data coming from heterogeneous data sources, from unstructured to structured. A complementary knowledge graph ...

TigerGraph offers enterprise graph MPP (massively parallel processing), to support big data, complex business queries – all with GSQL, the graph query language that is claimed to be intuitive ...

Graph processing serves as the essential building block for a diverse variety of real-world applications such as social network analytics, data mining, network routing, and scientific computing.