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AI database

4 articles · Page 1 of 1
Old Zhang's AI Learning
Old Zhang's AI Learning
Jul 1, 2026 · Databases

Why Enterprise AI Hits a Wall at the Data Layer Despite Powerful Large Models

The article argues that as AI agents replace human users, the real bottleneck for enterprise AI shifts from model performance to data infrastructure, and explains how OceanBase’s AI‑native database—Lakebase—addresses multimodal data, hybrid search, agent safety, and massive logical tables to enable production‑grade AI applications.

AI databaseAgent-friendlyData infrastructure
0 likes · 16 min read
Why Enterprise AI Hits a Wall at the Data Layer Despite Powerful Large Models
DataFunTalk
DataFunTalk
Apr 1, 2026 · Industry Insights

How Oracle’s AI‑Powered Database Is Turning Data Sovereignty into a Competitive Edge

Oracle’s 2026 AI database rollout fuses vector search, private AI agents, unified memory, and deep data security directly into the database engine, challenging the cloud‑centric data‑movement paradigm and prompting a market shift that could revive Oracle’s dominance while reshaping strategies for DBAs, AI engineers, and decision makers.

AI databaseDatabase ArchitectureIndustry Trends
0 likes · 13 min read
How Oracle’s AI‑Powered Database Is Turning Data Sovereignty into a Competitive Edge
21CTO
21CTO
Oct 15, 2025 · Databases

Oracle Launches AI Database 26ai with Built‑In Agent Factory and MCP Server

Oracle's new AI Database 26ai replaces the earlier 23c version, adding generative and agent‑based AI capabilities, built‑in Agent Factory, MCP server integration, advanced security features, and forming the foundation for an Autonomous AI Lakehouse, while offering seamless upgrades for existing customers.

AI databaseAgent FactoryMCP Server
0 likes · 5 min read
Oracle Launches AI Database 26ai with Built‑In Agent Factory and MCP Server
21CTO
21CTO
Sep 7, 2024 · Artificial Intelligence

Why AI Databases Are the Next Big Leap for Vector Search and Multimodal Data

The article explains how AI databases combine structured, unstructured, and vector data, integrate machine‑learning, NLP, and generative models, and why platforms like Vespa are emerging as open‑source solutions to meet the performance and scalability demands of modern generative AI applications.

AI databaseGenerative AIMultimodal data
0 likes · 8 min read
Why AI Databases Are the Next Big Leap for Vector Search and Multimodal Data