In the world of database architecture, the need to dynamically create complex objects conflicts with the demand for subsecond response time. Oracle's answer to this dilemma is the materialized view.

I have a relatively complex query that I would like to be able to achieve in one query, as there are a lot of rows to be returned, some of which may be sparse. I'd prefer not to hit the DB 150+ times ...

Built-in functions, UDFs, materialized results, and integrations with ML and AI models make streaming SQL a compelling choice ...

I have an MSAccess database and I need help with the SQL code to get the query / report results desired.<BR><BR>All of the data needed for this is contained in a query already. There are five fields: ...

Google’s new tool abstracts SQL into a visual interface, helping enterprises manage cloud workload insights without deep technical expertise. Google has added a new query builder to its Log Analytics ...

AI has transformed the way companies work and interact with data. A few years ago, teams had to write SQL queries and code to extract useful information from large swathes of data. Today, all they ...

Snowflake combines its proprietary SQL generation model with the Mistral Large text generation model to create a text-to-SQL engine for Snowflake Copilot. The development of Copilot benefits from ...

Chainalysis launches Workflows, a no-code tool automating blockchain data analytics without requiring SQL or Python expertise.