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 ...

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

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

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

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

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

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

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 ...

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 ...

Threat actors have started exploiting CVE-2026-21643, a critical vulnerability in Fortinet FortiClient EMS leading to remote ...

Combined company serves 200+ customers with a unified platform spanning data integration, analytics, AI-driven insights, and planogram automation.