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DaTaobao Tech
DaTaobao Tech
Sep 20, 2024 · Databases

Database Technology Evolution: From Hierarchical to Vector Databases

The article chronicles the evolution of database technology from early hierarchical and network models through relational, column‑store, document, key‑value, graph, time‑series, HTAP, and finally vector databases, detailing each system’s architecture, strengths, limitations, typical uses, and future trends toward specialization, distributed cloud‑native designs, and AI‑driven applications.

HBaseHTAPInfluxDB
0 likes · 52 min read
Database Technology Evolution: From Hierarchical to Vector Databases
Baidu Geek Talk
Baidu Geek Talk
Apr 3, 2024 · Databases

Cloud-Native Database: Market Trends, Technical Evolution and Accessibility

Cloud-native databases, now backed by major providers and projected to power 95 % of digital business by 2025, are rapidly evolving from traditional systems to flexible, Kubernetes-compatible, MySQL/PostgreSQL-compatible, HTAP-enabled, serverless platforms—exemplified by Baidu’s GaiaDB with advanced consensus, low-latency networking, columnar storage, AI-driven operations—while enterprises balance adoption benefits against deployment, maturity, and sustainability concerns.

AI4DBGaiaDBHTAP
0 likes · 15 min read
Cloud-Native Database: Market Trends, Technical Evolution and Accessibility
ITPUB
ITPUB
Sep 22, 2023 · Databases

What Will the Third‑Generation Distributed Database Look Like? Key Features and Challenges

The article reviews 70 years of database evolution, outlines the two historic generations of distributed databases, highlights unresolved issues of correctness, performance and usability, and proposes a forward‑looking “third‑generation” vision that seeks 100 % data integrity, top speed, and true ease of use.

CAP theoremUsabilitydata correctness
0 likes · 13 min read
What Will the Third‑Generation Distributed Database Look Like? Key Features and Challenges
Tencent Cloud Developer
Tencent Cloud Developer
May 11, 2021 · Databases

Database Technology Development and Future Directions: From Commercial Databases to Cloud-Native Era

The article traces database technology from the commercial Oracle era through open‑source and the emerging cloud‑native phase, highlights cloud as the primary battleground and the importance of the to‑B market, reviews historic academic contributions, examines Oracle and China’s TDSQL evolution, and outlines five future directions—distributed, intelligent, multi‑model, hardware‑software integration, and cloud convergence—while urging DBAs to adapt their full‑stack skills.

OracleTDSQLcloud database
0 likes · 21 min read
Database Technology Development and Future Directions: From Commercial Databases to Cloud-Native Era
21CTO
21CTO
Feb 12, 2019 · Databases

From MariaDB CTO to Neo4j: Ivan Zoratti’s Journey into Graph Databases

Former MariaDB CTO Ivan Zoratti shares his 35‑year tech career, the evolution from MySQL to MariaDB, why he transitioned to Neo4j, and his insights on graph versus relational databases, highlighting the innovations and future potential of graph technology.

MariaDBNeo4jRelational Databases
0 likes · 12 min read
From MariaDB CTO to Neo4j: Ivan Zoratti’s Journey into Graph Databases