Learn how GraphRAG transforms unstructured text into structured data, revolutionizing AI retrieval with deeper insights and ...

Snowflake wants to reduce enterprises’ reliance on data engineers and data scientists for unstructured data analysis with its ...

New open-source efforts from Snowflake aim to help solve that unsolved challenges of text-to-SQL and inference performance for enterprise AI.

Scaling distributed SQL queries needs more performance and efficiency in the agentic AI era. It’s a challenge Cockroach is ...

In sum, the data corroborate Snowflake’s assertion that its revamped go-to-market engine is landing meaningful net-new ...

4. Query engine The database must have a system to query data from it. Data query is achieved via a programming language such as SQL. You can also use these languages to modify data on the database.

where the database size is relatively small and is not distributed over multiple servers. The attempted study examines the query execution time between traditional data warehouse, grounded on the ...

RelationalAI, the pioneer of the relational knowledge graph coprocessor for data clouds, is announcing new capabilities for the Snowflake AI Data Cloud, expanding the potential of AI-powered ...

Google's Thematic Search patent closely parallels AI Mode's Query Fan-Out technique, a research system for deep, broad, and ...

Interview: From powering 95M TPS to pioneering vector search, Aerospike CTO Srini Srinivasan reveals how real-time data is ...

Migrating from an RDBMS to NoSQL can improve scalability and flexibility. Explore top NoSQL databases and best practices for ...

When the query content proposed by the anonymous set mostly belongs to the same category, it is prone to homogeneity attack. Aiming at this problem, this paper proposes a privacy protection algorithm ...