compute-storage separation

DataFunSummit

Mar 14, 2024 · Big Data

Tencent Game Data Analysis: Lakehouse Integration Practice

This article presents Tencent Game's comprehensive lakehouse integration practice, detailing the project background, storage‑compute separation, data layering, unified DDL/DML operations, performance optimizations, and future plans, illustrating how StarRocks, Iceberg, and Spark are combined to achieve scalable, cost‑effective analytics for massive game data.

Performance OptimizationStarRockscompute-storage separation

0 likes · 16 min read

Tencent Game Data Analysis: Lakehouse Integration Practice

DataFunSummit

Sep 16, 2023 · Big Data

Kingsoft Cloud's Big Data Compute‑Storage Separation Practices and KS3‑HDFS Solution

This article presents Kingsoft Cloud's comprehensive practice on big data compute‑storage separation, detailing the challenges of modern data platforms, comparing HDFS with object storage, describing three separation modes, and explaining the architecture, core modules, performance optimizations, and advantages of the KS3‑HDFS solution.

Big DataKS3-HDFSObject Storage

0 likes · 21 min read

Kingsoft Cloud's Big Data Compute‑Storage Separation Practices and KS3‑HDFS Solution

Architecture Digest

Dec 8, 2021 · Cloud Native

Implementing Compute-Storage Separation for Large-Scale Retrieval Systems Using Fluid

This article describes the challenges of operating massive, TB‑scale retrieval clusters at Zuoyebang, and presents a Fluid‑based compute‑storage separation architecture that improves data distribution, update efficiency, scalability, and stability, enabling containerized search services to be managed like regular stateless workloads.

Data OrchestrationFluidcompute-storage separation

0 likes · 13 min read

Implementing Compute-Storage Separation for Large-Scale Retrieval Systems Using Fluid

Tencent Cloud Developer

Mar 27, 2019 · Databases

Technical Overview and Optimizations of Tencent Cloud CynosDB for MySQL

Tencent Cloud’s CynosDB for MySQL separates compute from distributed storage, using a log‑driven, stateless architecture that eliminates local I/O, enables sub‑second failover, 2.5× write performance, lock‑free structures, async group‑commit, compressed logs, fast parallel recovery, and scalable replication, with future plans for external buffer pools and multi‑master support.

Cloud DatabaseCynosDBMySQL

0 likes · 23 min read

Technical Overview and Optimizations of Tencent Cloud CynosDB for MySQL

Efficient Ops

Sep 27, 2018 · Databases

How SequoiaDB’s Multi-Model Architecture Redefines Cloud‑Native Distributed Databases

SequoiaDB, a financial‑grade open‑source distributed database, combines a multi‑model engine with a compute‑storage separation architecture to deliver full MySQL, PostgreSQL and SparkSQL compatibility, elastic scaling, HTAP capabilities, and robust multi‑site disaster recovery for cloud‑native enterprise workloads.

Distributed DatabasesHTAPcloud-native

0 likes · 12 min read

How SequoiaDB’s Multi-Model Architecture Redefines Cloud‑Native Distributed Databases

Tencent Cloud Developer

Jun 12, 2018 · Cloud Native

CynosDB: Tencent Cloud's Next-Generation Enterprise Distributed Cloud Database

CynosDB, Tencent Cloud’s next‑generation enterprise distributed database, re‑architects MySQL with compute‑storage separation, distributed high‑availability storage, and RDMA‑accelerated low‑latency replication, delivering extreme performance, scalability, sub‑millisecond response times, and nine‑nine data reliability for cloud‑native applications.

Cloud DatabaseCynosDBDistributed Storage

0 likes · 9 min read

CynosDB: Tencent Cloud's Next-Generation Enterprise Distributed Cloud Database