performance benchmarking

Aikesheng Open Source Community

Nov 29, 2023 · Databases

When to Use Distributed vs. Centralized Databases: Analysis, Benchmarks, and Best Practices

This article examines the trade‑offs between centralized and distributed OLTP databases, presents industry usage statistics, performance benchmarks, practical questions for migration, and detailed guidance on sharding, SQL design, and operational considerations to help decide when a distributed solution is truly needed.

Distributed DatabasesOLTPSQL Optimization

0 likes · 12 min read

When to Use Distributed vs. Centralized Databases: Analysis, Benchmarks, and Best Practices

Architects' Tech Alliance

Aug 31, 2022 · Artificial Intelligence

Performance Evaluation of Transformer Models on the Inspur NF5488A5 GPU Server

This article presents a detailed benchmark of four Transformer models of varying sizes trained on the high‑end Inspur NF5488A5 GPU server, compares its NVSwitch‑based interconnect with a PCIe‑based system, and analyzes the impact of model scale, tensor parallelism, and hardware bandwidth on training efficiency.

DeepSpeedGPU serverMegatron-LM

0 likes · 12 min read

Performance Evaluation of Transformer Models on the Inspur NF5488A5 GPU Server

NetEase Media Technology Team

Jan 15, 2021 · Backend Development

Go Language Practice and Ngo Framework Development at NetEase Media

Facing high memory usage and slow startup after containerizing its Java services, NetEase Media adopted Go in 2020, leveraging its fast compilation, low‑resource footprint and goroutine‑based concurrency to build the high‑performance Ngo framework, which outperforms Spring‑Boot in throughput while using far less memory.

Backend DevelopmentJava to Go migrationMicroservices

0 likes · 32 min read

Go Language Practice and Ngo Framework Development at NetEase Media

360 Zhihui Cloud Developer

Sep 3, 2019 · Big Data

QuickSQL: 360’s Unified Multi-Source Query Engine Explained

This article outlines how 360’s data center built QuickSQL, a federated SQL engine that unifies queries across heterogeneous sources such as Hive, MySQL, and Elasticsearch, detailing the business challenges, architectural design, performance benchmarks, and future roadmap for multi‑source data analysis.

Big DataSQL enginedata integration

0 likes · 12 min read

QuickSQL: 360’s Unified Multi-Source Query Engine Explained

High Availability Architecture

Jun 7, 2017 · Databases

Evaluating Pilosa on Dense, Low‑Cardinality Data Using the NYC Taxi Dataset

This article examines whether Pilosa, a bitmap index originally built for sparse high‑cardinality data, can efficiently handle dense relational datasets by benchmarking it against a billion‑row NYC taxi trip dataset and comparing query performance with other database systems.

NYC taxi datasetPilosabitmap index

0 likes · 6 min read

Evaluating Pilosa on Dense, Low‑Cardinality Data Using the NYC Taxi Dataset