time based graph database

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What is a time based graph database?

A time based graph database (or time series database) is one that is built specifically for handling metrics, events or measurements that are time-stamped. It stores nodes and relationships instead of tables or documents.

Graph databases are often used in fraud detection and recommendation engines. A graph database helps determine relationships between potential purchasers, personal information such as an email address and what purchases the user is making similar to others with common interests.

Further information can be gathered from the time series, which can track measurements or events that are tracked and aggregated. Examples include clicks, trades in a market or application performance modeling. While financial data was one of the initial uses of a time series database, the focus has grown with sensors being included in everything from cars to microwaves to phones.