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Cloud/azure

Blob storage vs Data Lake Storage

by seohan1010 2025. 11. 25.

🧩

 

작성일: 2025/11/25


📘 1. 주제

Blob storage vs Data Lake Storage


💡 2. 개념 설명



  Blob Storage Data Lake Storage
purpose General-purpose object storage , file/image/backup etc.. Large-scale analytics data storage, optimized for big data processing
Tiers Hot / Cool / Archive Hot / Cool / Archive (built on Blob Storage)
File System Simple container-based HDFS-compatible hierarchical
namespace
Access Control Container-level ACL, RBAC Fine-grained directory/file ACL + RBAC
Analytics Integration Azure Functions, Logic Apps, etc... Azure Databricks, DHInsight, Synapse,
optimized for analytics 
Pricing Structure Storage capacity + transaction  Storage capacity + transactions + 
optimized for analytics workloads 

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