Why Distributed Analytical Databases Are the Future: Inside ArgoDB’s Architecture

This article explains the architecture and key components of distributed analytical databases, contrasting them with MPP systems, and details the design of StarRing’s ArgoDB—including its storage, compute, transaction, and SQL engines—highlighting scalability, elasticity, and resource management for modern data warehousing.

Analytical DatabaseArgoDBSQL

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Why Distributed Analytical Databases Are the Future: Inside ArgoDB’s Architecture

Aikesheng Open Source Community

Dec 31, 2022 · Databases

Understanding ClickHouse Performance: Storage Engine and Compute Engine Perspectives

This article explains why ClickHouse delivers high query speed by detailing storage‑engine optimizations such as pre‑sorting, columnar layout and compression, and compute‑engine techniques like vectorized execution, built‑in functions and minimal join usage, while also promoting the related book and giveaway.

Big DataClickHouseOLAP

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Understanding ClickHouse Performance: Storage Engine and Compute Engine Perspectives

Top Architect

Jun 18, 2022 · Big Data

Overview of Data Lakes and the Open SPL Compute Engine

This article explains the concept and challenges of data lakes, describes the “impossible triangle” of storage, compute, and cost, and introduces the open‑source SPL engine that provides multi‑source, file‑based, high‑performance computing to overcome those limitations.

Data LakeSPLcompute engine

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Overview of Data Lakes and the Open SPL Compute Engine

MaGe Linux Operations

Feb 18, 2021 · Cloud Computing

How Google’s VM Manager Simplifies Large-Scale Cloud VM Operations

Google’s VM Manager is a cloud‑native infrastructure tool that automates deployment, patching, configuration, and inventory management for large Compute Engine VM fleets, offering a unified dashboard to improve observability, security, and operational efficiency across Windows and Linux environments.

Cloud ManagementGoogle CloudInfrastructure Automation

0 likes · 4 min read

How Google’s VM Manager Simplifies Large-Scale Cloud VM Operations

Alibaba Cloud Developer

Jun 11, 2019 · Artificial Intelligence

How ACE Powers Edge AI: A Heterogeneous Compute Engine for Real‑Time Inference

This article explains the design of ACE (AI Labs Compute Engine), a heterogeneous edge compute platform that combines model quantization, GPU/DSP/VPU acceleration, cloud‑edge model management, and custom algorithm integration to enable low‑latency AI services such as gesture, pet, and pen‑tip detection on resource‑constrained devices.

AI inferenceEdge ComputingEmbedded AI

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How ACE Powers Edge AI: A Heterogeneous Compute Engine for Real‑Time Inference