From the era of spinning disk drives, databases have rapidly evolved to become faster and more reliable using new open-source database engines ... this technological evolution present innovative ways ...

Given the wave of AI development that’s boosting the demand for data, many database vendors are adding new capabilities such ... database systems, data warehouse and data lake systems, data ...

Snowflake is addressing the complexity of migrating legacy data systems into the Snowflake ecosystem with SnowConvert AI, a ...

Data warehouse infrastructure is still critical for some agencies, and it will need to to keep up with changing data requirements so agencies can reduce siloes of information. The Qlik Compose ...

He also noted the increasing prevalence of vector capabilities in modern data handling, highlighting that another significant aspect of a vector engine or database is the ability to search those ...

This Critical Capabilities research focuses primarily on existing customer implementations and their experiences with data warehouse DBMS products. Together with its companion Magic Quadrant, this ...

and it introduced a preview of machine-learning capabilities for its BigQuery data warehouse Wednesday at Google Cloud Next 2018. BigQuery customers will be able to train machine-learning models ...

Snowflake Computing is rolling out new capabilities for the Snowflake Elastic Data Warehouse that the startup says will automate and simplify administrative tasks for its cloud data warehouse ...

“This powerful Oracle integration will amplify Workflow Data Fabric’s capabilities ... The innovations in Oracle Database 23ai allow a single database to support vector processing and ...