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Architects' Tech Alliance
Architects' Tech Alliance
Jul 18, 2024 · Databases

Evaluating In-Memory Database Performance on the HaiGuang CPU: Challenges, Requirements, and Application Scenarios

This article examines the growing challenges faced by traditional databases, explains the fundamentals and advantages of in‑memory databases, and details a practical evaluation of the Chinese HaiGuang CPU’s suitability for such workloads, highlighting performance, security, and reliability aspects across various application scenarios.

CPU performanceHaiGuang processorIn-Memory Database
0 likes · 9 min read
Evaluating In-Memory Database Performance on the HaiGuang CPU: Challenges, Requirements, and Application Scenarios
ITPUB
ITPUB
Sep 16, 2023 · Databases

Is Oracle RAC Really Obsolete? Insights from Chinese Distributed Database Trends

The article examines Oracle RAC’s perceived obsolescence, compares it with modern distributed databases, reviews recent Chinese vendor releases of RAC‑like products, and argues that high‑availability needs, hardware advances, and evolving data architectures keep shared‑storage clustering relevant today.

Oracle RACdatabase scalabilityshared-storage
0 likes · 8 min read
Is Oracle RAC Really Obsolete? Insights from Chinese Distributed Database Trends
Top Architect
Top Architect
Dec 11, 2021 · Databases

Scaling Zhihu’s Moneta Service with TiDB: Architecture, Performance, and Lessons Learned

Zhihu’s Moneta service, handling over a trillion rows and billions of daily writes, migrated from MySQL to TiDB, achieving millisecond query latency, high availability, and horizontal scalability, and the article details the architecture, performance metrics, migration challenges, and lessons learned from this large‑scale deployment.

Data MigrationTiDBdatabase scalability
0 likes · 13 min read
Scaling Zhihu’s Moneta Service with TiDB: Architecture, Performance, and Lessons Learned
Top Architect
Top Architect
Feb 11, 2021 · Databases

Case Study: Scaling Zhihu’s Moneta Application with TiDB

This article details how Zhihu’s Moneta service, handling over a trillion rows of user‑read data, migrated from MySQL sharding and MHA to the open‑source NewSQL database TiDB, achieving millisecond‑level query latency, high write throughput, and improved scalability through a layered architecture and TiDB’s advanced features.

HTAPMonetaNewSQL
0 likes · 13 min read
Case Study: Scaling Zhihu’s Moneta Application with TiDB
Qunar Tech Salon
Qunar Tech Salon
May 11, 2018 · Databases

Minsheng Bank’s Distributed Transformation and NewSQL Practice with SequoiaDB

The article details Minsheng Bank’s shift to distributed architecture, outlining regulatory drivers, business requirements, the adoption of sharding, cross‑center high‑availability, and new‑type distributed databases, and showcases performance results of SequoiaDB 3.0 across multiple high‑throughput banking scenarios.

BankingDistributed SystemsNewSQL
0 likes · 9 min read
Minsheng Bank’s Distributed Transformation and NewSQL Practice with SequoiaDB
21CTO
21CTO
Oct 9, 2017 · Databases

How Facebook Scales 2B Users with MySQL and the New Apollo NoSQL Engine

Since its inception, Facebook has relied on MySQL to handle data from over two billion users, but recent shifts toward NoSQL have led to the development of Apollo—a layered storage system inspired by Paxos, Raft, RocksDB, and custom APIs, aiming to improve scalability, latency, and fault tolerance.

ApolloFacebookNoSQL
0 likes · 8 min read
How Facebook Scales 2B Users with MySQL and the New Apollo NoSQL Engine
ITPUB
ITPUB
Mar 4, 2016 · Databases

Debunking the Top 3 Myths About Modern In-Memory Databases

While in‑memory databases promise blazing speed, developers often overlook critical issues such as memory capacity limits, the complexities of moving from 32‑bit to 64‑bit architectures, and the constraints imposed by virtual memory and swap space, all of which can dramatically affect performance and scalability.

64-bit architectureVirtual Memorydatabase scalability
0 likes · 5 min read
Debunking the Top 3 Myths About Modern In-Memory Databases