PostgreSQL, the open-source relational database, has surged in popularity, surpassing MySQL as the most favoured database ...

A LangChain integration for Snowflake's vector database capabilities, enabling semantic search and similarity matching using Snowflake's native VECTOR data type and VECTOR_COSINE_SIMILARITY function.

Postgres is widely used by developers due to its open-source foundation, flexibility and support for features like vector embeddings.

Snowflake’s focus on unstructured data is driven by the firm’s plans for agentic AI. That became clearer in February when the company launched agentic capabilities for users to query combinations of ...

TDC gains ground with strong cloud ARR growth and AI tie-ups, while SNOW faces valuation and spending headwinds.

Snowflake’s architectural playbook: Unifying relational, vector, structured, unstructured and governance under one roof Let’s now examine Snowflake’s architectural approach in the context of ...

DuckDB flips lakehouse model with bring-your-own compute and metadata RDBMS Snowflake CISO on the power of 'shared destiny' and 'yes and' Vector search is the new black for enterprise databases US ...

The surge in data company acquisitions continued Monday with Snowflake’s purchase of Crunchy Data. Cloud data platform Snowflake announced its intent to acquire Crunchy Data, a Postgres database ...

LandingAI, a pioneer in agentic vision technologies, is unveiling Agentic Document Extraction (ADE)-an intelligent document understanding solution that transcends traditional optical character ...

Snowflake's revenue grew 26% year over year to $1 billion, but net losses widened to $430 million. The company's net loss grew both in absolute terms and as a percentage of sales. Snowflake's rich ...

Joint customers can now extract deeper insights from complex forms and reports with the Visual AI platform, integrated with Snowflake for seamless, ...