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 ...

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 ...

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

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

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

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 ...

Artificial intelligence does not exist in a vacuum. Behind every well-trained model, every accurate recommendation engine, ...

For conversational interaction to work, voice is merely the top layer. Underneath is a stack most organizations underestimate.

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 ...

Conclusions: These findings identify a significant discrepancy between the billing of tobacco cessation services and the ...

Overview Modern Python automation now relies on fast tools like Polars and Ruff, which help cut down processing time and ...

Engine, a CPG analytics and data science provider, and Nuqleous®, a provider of space planning and category management solutions for consumer-packaged goods (CPG) and retail brands, today announced ...