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 ...

Modeling Complex Data Structure in Golang Using Pointers, References, and Reverse Indices Jan 23, 2025 15 min read by Omer Zuarets Back End Engineer at Permit.io Follow reviewed by Sergio De Simone ...

New annotations in Explorations 1.3 help analysts flag issues or highlight discoveries, to capture context and drive decisions right where the dat ...

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.

If a data set has a complex underlying structure, then modeling it as a graph may reveal only a limited projection of the whole story. Emilie Purvine of the Pacific Northwest National Laboratory is ...

Graph analytics can be performed on any back end, as they only require reading graph-shaped data. Graph databases are databases with the ability to fully support both read and write, utilizing a ...

Streaming graph application platform startup Memgraph Ltd. announced today that it has closed on a $9.34 million seed funding round. The round, which came as the company launched Memgraph 2.0, was ...

The Graph, the decentralized indexing system that works much like Google for blockchains, has introduced a data standard for Web3. Called GRC-20, the standard would define how information is ...