By moving Cortex into dbt and Airflow, Snowflake is aiming to eliminate context switching and pull AI closer to production pipelines, analysts say.

Abstract: Large language models (LLMs) are being woven into software systems at a remarkable pace. When these systems include a back-end database, LLM integration opens new attack surfaces for SQL ...

Database provider ClickHouse secured $400 million at a $15 billion valuation, Bloomberg reported, representing about a 2.5x increase from its $6.35 billion valuation last May. The round was led by ...

Database technology startup ClickHouse Inc. has raised $400 million in a new funding round that values the company at $15 billion — more than double its valuation less than a year ago. The large deal ...

Snowflake recently unveiled ArcticInference , the fastest speculative decoding solution for vLLM currently available. ArcticInference can reduce the end-to-end latency for LLM agent tasks by up to 4.5 ...

Abstract: Generating accurate SQL from users’ natural language questions (text-to-SQL) remains a long-standing challenge due to the complexities involved in user question understanding, database ...

Databricks and Snowflake are at it again, and the battleground is now SQL-based document parsing. In an intensifying race to dominate enterprise AI workloads with agent-driven automation, Databricks ...

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I would love to be able to put in my OpenAI credentials and have a chatbot style interface that ultimately produces and executes SQL queries for me. My use case is to be able to query the data in a ...

MCP is emerging as a common interface for wiring models to external systems. By shipping a reference server for the Ads API, Google lowers the integration cost for LLM agents that need campaign ...

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Thinking Machines has released Tinker, a Python API that lets researchers and engineers write training loops locally while the platform executes them on managed distributed GPU clusters. The pitch is ...