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This article analyzes the emerging trends in data infrastructure for AI, compares leading cloud‑native databases like Neon, Supabase and ClickHouse, explains why PostgreSQL has become the de‑facto standard, and introduces Data Warebase—a unified multi‑modal database designed to meet the five core requirements of modern AI workloads.
BaikalDB, Baidu's distributed storage system, evolves from an OLTP‑focused engine to a hybrid HTAP architecture by introducing a vectorized query engine and a massively parallel processing (MPP) layer, addressing compute and resource bottlenecks for large‑scale analytical workloads while preserving transactional guarantees.
This article provides a comprehensive introduction to TiDB, a NewSQL distributed database, covering its origins, core components, high‑availability design, NewSQL characteristics, differences from traditional SQL and NoSQL, compatibility with MySQL, configuration nuances, and typical use cases such as HTAP and cloud‑native deployments.
This article provides a comprehensive introduction to TiDB, a distributed NewSQL database that combines OLTP and OLAP capabilities, explains NewSQL concepts, compares traditional SQL, NoSQL and NewSQL, details TiDB's architecture and core components, highlights its high‑availability and scalability features, and outlines compatibility differences and practical use cases.
The article examines how database services must evolve to meet the high‑availability, real‑time response, horizontal scalability, application agility, security compliance, and cost‑optimization demands of modern online businesses, using Ant Group’s multi‑generation architecture and technologies such as distributed middleware, HTAP/HSAP, and polyglot persistence as examples.
OceanBase’s open‑source ecosystem—spanning data migration tools, developer utilities, a database proxy, and robust operational management—delivers comprehensive, open, and compatible support that enhances development, migration, and maintenance, positioning it as a competitive enterprise‑grade distributed relational database.
This report examines how Yum China and PingCAP’s joint innovation lab applies TiDB’s distributed database capabilities—such as elastic scaling, real‑time analytics, HTAP architecture, and multi‑region high availability—to address the restaurant sector’s operational challenges, improve customer experience, and drive data‑driven business growth.
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.
GaiaDB 4.0 introduces cloud‑native parallel query execution, allowing the same MySQL‑compatible cluster to handle both OLTP and OLAP workloads with up to fourteen‑fold speedup on complex queries, configurable via global parameters or query hints, and adds columnar indexes for further analytical acceleration.
This article provides a comprehensive overview of TiDB, a cloud‑native NewSQL database that combines the scalability of NoSQL with the strong consistency of traditional relational databases, detailing its architecture, high‑availability design, HTAP capabilities, MySQL compatibility, and practical application scenarios.
The talk explores how the rapid growth of multimodal data and large language models is reshaping data processing, highlighting three key trends—online‑offline integration, vector‑relational database convergence, and the fusion of data processing with AI computation—while presenting practical solutions and future visions for unified data‑AI ecosystems.
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.
TiDB, an open‑source NewSQL distributed database, combines the strong consistency and ACID guarantees of traditional relational databases with the scalability of NoSQL, offering cloud‑native architecture, HTAP capabilities, high availability, and seamless MySQL compatibility, while highlighting NewSQL concepts, design trade‑offs, and migration scenarios.
The article explains why traditional MySQL sharding is problematic, introduces the open‑source distributed database TiDB, details its architecture, core features, use cases, performance benchmarks against MySQL, and provides guidance on when to adopt TiDB for large‑scale workloads.
The article explains why traditional MySQL sharding is discouraged, introduces the distributed database TiDB, details its architecture, core capabilities such as HTAP and Raft‑based consistency, compares feature support and resource usage with MySQL, and presents benchmark results demonstrating TiDB’s advantages at large scale.
This article introduces the open‑source distributed database MatrixOne, tracing its early NewSQL/MPP architecture, the challenges that prompted a major redesign, and the resulting HTAP‑oriented three‑layer architecture with decoupled compute, transaction, and storage layers, highlighting performance, cost, and scalability improvements.
The article presents Fabarta’s AI‑era data infrastructure that combines large language models with knowledge graphs and a multimodal database, detailing its data‑centric architecture, HTAP capabilities, cloud‑native design, and real‑world demos that illustrate how graph‑plus‑vector techniques improve model reliability and answer precision.
This article details the evolution of the open‑source distributed database MatrixOne, describing its early NewSQL/MPP design, the scalability, performance and cost challenges it faced, and the architectural redesign that introduced decoupled compute, transaction, and storage layers with HTAP support using TAE, S3, and Logtail.
This article provides a comprehensive overview of TiDB, an open‑source distributed NewSQL database, covering its origins, architecture components, high‑availability design, HTAP capabilities, MySQL compatibility, differences from traditional SQL and NoSQL, and practical deployment scenarios.
This article provides a comprehensive overview of OceanBase's HTAP capabilities, detailing its core features, technical architecture, execution and storage engines, resource isolation, fast import mechanisms, performance benchmarks, and future enhancements, supported by diagrams and real‑world deployment data.