A graph database is a dynamic database management system uniquely structured to manage complex and interconnected data.

The other major addition to SQL Server 2017 is new support for graph processing. So-called NoSQL databases, of which graph databases comprise one major category, have been a thorn in Microsoft's ...

There a number of other optimizations in space in SQL Server 2017, focused on making problematic query operations go faster. Graph Database: One of my favorite features is the introduction of a ...

A lot has happened in graph land in the last six months. Quick recap: a new player (TigerGraph), Microsoft ramping up its graph play with graph support in SQL Server and CosmosDB, and the number ...

Oracle, SQL Server and DB2 have special ... Facebook and other comparable sites. Graph databases aspire to overcome these problems by adopting a data model in which the relationships between objects ...

A few quick examples for comparison are temporal tables and graph databases -- both are native solutions out of the box in SQL Server and all flavors of Azure SQL. In PostgreSQL, you must install ...

Graph databases, which explicitly express the connections ... and databases PostgreSQL, MySQL, Microsoft SQL Server, Oracle Database, Google Cloud Spanner, CockroachDB, MongoDB, Cassandra, and ...

Ely Turkenitz, IS Manager for Santa Clara County in northern California, said “graph databases will not replace the Oracle, SQL Server, MySQLs of the world; it’s not a replacement, it’s an ...

Graph databases such as Neo4j ... and databases PostgreSQL, MySQL, Microsoft SQL Server, Oracle Database, Google Cloud Spanner, CockroachDB, MongoDB, Cassandra, and Couchbase.

The graph database was originally designed to ... Microsoft added special node and edge tables to SQL Server to make it simpler to execute more complicated searches. These tables can be searched ...