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

Scaling distributed SQL queries needs more performance and efficiency in the agentic AI era. It’s a challenge Cockroach is ...

Managers of data warehouses of big and small companies realise this sooner or later, that having vast tables of numbers and ...

In this tutorial, I dive into advanced strategies for filtering Firebase data using multiple properties—similar to crafting a ...

Integrating AI output with SQL and providing observability of large language models are ways to put more data analysts in ...

The Microsoft SQL Query Analyzer is part of the client tools that come with Microsoft SQL Server 2000 Enterprise Edition. It's designed to analyze the SQL queries that you or a program makes that ...

New open-source efforts from Snowflake aim to help solve that unsolved challenges of text-to-SQL and inference performance for enterprise AI.

By Kaunda ISMAILThis article discusses key tools needed to master, in order to penetrate the data space. Such tools include ...

Bring AI to your database! Learn how to build smarter apps with vector search in SQL Server & Azure Cosmos DB -- no extra AI ...

Workflows manage prompts and models with SQL and enforce governance policies. Starburst said these capabilities are fully contained within its platform and require no external data pipelines. Data is ...

The platform offers a user-friendly interface with a long list of features like SQL auto-completion, syntax highlighting, data sorting/ filtering, and saving queries for later purposes.