Abstract: Modern graph database query languages such as GQL, SQL/PGQ, and Cypher allow regular path queries to return entire paths, as opposed to only their endpoints. This is challenging for query ...

For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of large AI models, integration with graph databases is now required. This process ...

Abstract: There are two main approaches to graph databases: based on RDF model and based on labeled property graph model. RDF is well known and studied, but modern graph databases with labeled ...

Organizations are using generative AI to stay ahead of the competition, but the real advantage lies in harnessing the power of your own data securely and at scale. One of the most exciting new ...

SQL development is evolving fast, and Microsoft.Build.Sql is leading the charge. This next-generation SDK brings flexible project structures, better source control integration, automated build-time ...

./configure --prefix=$AGENS_TEMP_DIR/pgsql --with-pgport=6179 --with-gssapi --with-ldap --with-tcl --with-openssl --enable-nls --enable-thread-safety --with-perl ...

The increasing adoption of AI technologies is presenting new challenges for our customers’ data estate and applications. Most organizations expect to deploy AI workloads across a hybrid mix of cloud, ...

Google Cloud has updated its fully managed distributed SQL database service Spanner to add graph processing capabilities, dubbed Spanner Graph. The update is expected to help developers build ...

Oracle SQL Developer is a great tool for managing Oracle Databases. It has a user-friendly interface that makes it easier to handle database tasks. The software offers features to simplify workflows ...

Oracle Database 23ai is now in long-term support release, bringing with it Oracle AI Vector Search and more than 300 additional major features. The new release focuses on three key areas - AI for Data ...