Dgraph Features

Designed to store interconnected data consisting of nodes and edges.

Supports multiple data types like lists, sets, hashes (similar to map), sorted sets etc.

Allows users to index at ingest and query endlessly across data.

Notifies specific events like document inserts, updates, replaces, deletes etc and responds in real-time.

Powerful query language that allows users to access patterns like traversals, JOINs, search, geospatial etc.

Implements auto horizontal data partitioning that allows storing data on more than one node to scale out.

Restores a database to a correct(consistent) state in the event of a failure.

Helps interpret SQL queries and determine the fastest method of execution

Provides predefined system roles, privileges, and user-defined roles to users.

Allows integration with external security mechanisms like Kerberos, LDAP authentication etc.

Provides an audit log to track access and operations performed on databases for regulatory compliance.

Provides encryption capability for all the data at rest using encryption keys.

Provides support to handle structured, semi-structured, and unstructured data with equal effect.

Allows users to connect business intelligence tools to the database.

Available on multiple operating systems like Linux, Windows, MacOS etc.