Rust enters the top 10 for the first time, Python keeps the lead, C moves back above C++, and SQL edges out R in July’s ...

Hadoop stores massive amounts of data across many computers safely.Spark processes big data much faster than traditional ...

Closing the mid-market gap is not a philanthropic exercise. It is a commercially compelling market thesis that the process ...

In a landmark moment for Indian artificial intelligence, fintech leader Paytm has developed Prism, a proprietary ...

Google Cloud Summit came to London last week, and we took the opportunity to sit down with database execs Sailesh Krishnamurthy (VP engineering) and Yasmeen Ahmad (product executive Agentic Data Cloud ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...

Artificial Intelligence (AI) agents based on Retrieval-Augmented Generation (RAG) technology are rapidly proliferating. RAG ...

AkasicDB integrates vector, graph, and relational stores within a single DBMS, and processes queries across the three data models as a single execution plan through an unified query planner and ...

Databricks enhances its AI platform with the AI agent Genie One, which is intended to make company data usable thanks to the new context layer Ontology.

When Miro’s data team pointed AI agents directly at its Snowflake environment, the agents got the wrong answer more than 65% of the time. The problem wasn’t the model — it was context. With more than ...

Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with unstructured content, sales figures alongside customer reviews or citation ...

SQL developers manage structured databases that power payments, healthcare, retail, and cloud systems. Cloud platforms increase demand for SQL skills, including scaling, backup systems, and security ...