The solution is a massively parallel database with an integrated analytics engine that leverages the MapReduce framework for large-scale data processing and couples SQL with MapReduce.

I'm sure Oracle's analytic functions can handle this, but I'm having a hard time wrapping my head around the syntax. If anyone has another solution, I'd be happy to hear it too.Here's a sample ...

Snowflake is adding generative AI-powered SQL functions to help data analysts and their organizations analyze unstructured data with SQL. These new AISQL functions will be part of Snowflake’s ...

It has an expanded set of SQL analytic functions, including the abilities to execute basic geospatial queries, event-series pattern matching, event-series joins, and advanced aggregate statistical ...

In terms of core functionality in the new release of Postgres Plus Advanced Server, there are more SQL analytic functions available to people who are interested in doing reporting and data warehousing ...

On Thursday, Teradata announced a new analytical database platform that combines more traditional SQL database capabilities with the "big data" power of MapReduce, the analytical framework at the ...