Recent SQL Server 2025, Azure SQL, SSMS 22 and Fabric announcements highlight new event streaming and vector search capabilities, plus expanding monitoring and ontology tooling -- with tradeoffs in ...

The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ha ...

Modern semantic search does not have to require a separate vector database. Data architects, database engineers, developers, or platform leaders can integrate Vertex AI and Cloud SQL vector indexes ...

Arrow-Based SQL Engine for Iceberg: Dremio's query engine was built natively on Apache Arrow, the open columnar standard Dremio co-created, making it uniquely suited for Iceberg workloads. It ...

For investors tracking Snowflake (NYSE: SNOW), the 2026 market has presented a puzzle. Snowflake's stock price has faced ...

Build your first fully functional, Java-based AI agent using familiar Spring conventions and built-in tools from Spring AI.

Starburst provides a high-performance data lakehouse platform powered by the above-mentioned Trino (a fast, distributed SQL ...

Open-source platform with 30+ MCP tools lets AI agents autonomously create pipelines, query databases, search vector ...

Faculty members at Northeast Community College are beginning to integrate artificial intelligence tools into their classrooms ...

A workaround to allow you to create multiple tables in a Direct Lake semantic model linked to the same table in OneLake ...

Autocratic development governance dismantles public engagement, facilitates human rights violations, and exacerbates social ...

KeeperDB integrates database access into a zero-trust PAM platform, reducing credential sprawl and improving security, ...