DuckDB is a tiny but powerful analytics database engine—a single, self-contained executable, which can run standalone or as a loadable library inside a host process. There’s very little you need to ...
Data Cloud Vector Database will unify all business data, including unstructured data like PDFs, emails, and transcripts, with CRM data to enable grounding of AI prompts and Einstein Copilot, ...
The global Database Management System (DBMS) market stood at USD 80 billion in 2024 and is projected to reach USD 120 billion by 2033. This growth reflects a steady compound annual growth rate (CAGR) ...
Forbes contributors publish independent expert analyses and insights. Chief Analyst & CEO, NAND Research. Oracle advances AI, OLTP, and analytics database performance with the launch of its latest ...
A new Rust-based database engine, InfluxDB IOx, brings an in-memory columnar store, unlimited cardinality, and SQL language support to the open source time series database, raising the bar for ...
There is a growing urgency to adopt cloud services to buttress today’s rapidly growing inventories of high-end analytic and AI applications. This is fueled by massive volumes of data that are spilling ...
Here are 15 data management and data analytics technology companies, part of the CRN AI 100, that are playing an outsized role in AI today. “Without data, there can be no AI,” said Airbyte co-founder ...
The U.S. Department of Homeland Security has awarded Palantir Technologies Inc. a five-year blanket purchase to expand the department’s use of artificial intelligence and large-scale data analytics ...
The success of generative artificial intelligence (AI) depends on data. But enterprises adopting generative AI (genAI) are struggling to access, manage and activate data of different formats. For ...
Jared Zhao originally got interested in data analytics during his time at UC Berkeley because he was drawn to how it could turn raw data into a story. Zhao founded his first data analytics startup ...
Digital analytics is slowly and steadily transforming the life sciences industry due to its ability to process large volumes of complex data and produce in-depth insights, thereby improving the ...