We all have to harness it, but we have to be very careful about it. Everyone feels the pressure to implement AI to make things less expensive for the client or customer.

Abstract: This paper addresses the challenge of efficiently querying multimodal related data in data lakes, a large-scale storage and management system that supports heterogeneous data formats, ...

TanStack Query has once again secured first place as the most popular library, while the React feature Server Components ...

The thick client is making a comeback. Here’s how next-generation local databases like PGlite and RxDB are bringing ...

The query optimizer is a crucial component in a relational database system and is responsible for finding a good execution plan for a SQL query. For cloud database service providers, the importance of ...

Query groups uses AI to cluster similar search queries. The new card shows total clicks per group and highlights groups trending up or down. Query groups will roll out over the coming weeks to high ...

Rather than spending their time executing manual queries, data analysts will increasingly operate like AI engineers—reviewing, refining, and validating AI-generated outputs. AI is not only reshaping ...

Google hasn’t done a full cannonball into the large language model (LLM) pool, but they’re definitely in the water. On May 20, Google launched AI Mode to all U.S. searchers, marking its most ...

Abstract: Document databases are increasingly popular in various applications, but their queries are challenging to write due to the flexible and complex data model underlying document databases. This ...