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 ...

Data work in 2026 asks for more than chart building. Professionals are expected to clean data, query databases, explain ...

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

Yuki is a real-time data cost optimization platform that routes BigQuery and Snowflake queries to the most efficient compute in real time, with no code changes. Yuki runs privately in your cloud ...

AI risk lives at the schema layer, not the model. Learn why database governance matters more than model governance for ...

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 ...

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

Proprietary warehouses delivered scale — but at the cost of control, predictable pricing, and real flexibility. Enterprises are doing the math.

From cost and performance specs to advanced capabilities and quirks, answers to these questions will help you determine the ...

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

Executive Insight   For decades, enterprises relied on strong encryption to protect sensitive data in transit, and encryption ...

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