Object access, file access & analytics
Amazon S3 vs Azure Data Lake Storage (hierarchical namespace)
On AWS, data lakes are built directly on S3 general purpose buckets.
On Azure, you turn on the hierarchical namespace for a storage account to get Azure Data Lake Storage, which adds real directories, atomic renames, and POSIX-style ACLs.
Side-by-side comparison
| Aspect | Amazon Web Services | Microsoft Azure |
|---|---|---|
| Service | Amazon S3 | Azure Data Lake Storage (hierarchical namespace) |
| Lifecycle | Generally available | Generally available |
| What it is | Object storage in buckets, with 11 nines of durability, a choice of storage classes, versioning, replication, Object Lock, and fine-grained IAM and bucket policies. General purpose buckets hold any object type; directory, table, and vector buckets are specialized bucket types. | Not a separate service. It's Blob Storage with the hierarchical namespace turned on, adding real directories, atomic renames, POSIX-style ACLs, and the Hadoop ABFS driver. It's also required for SFTP and NFS 3.0 on Blob. |
| Pricing model | Standard S3 pricing by storage class and requests. | Blob pricing by tier, with Data Lake Storage transaction pricing for hierarchical-namespace accounts. |
| Docs | Amazon S3 docs | Azure Data Lake Storage (hierarchical namespace) docs |
| Pricing page | Amazon S3 pricing | Azure Data Lake Storage (hierarchical namespace) pricing |
| Exams | DEA-C01 SAA-C03 | AZ-305 |
Key differences
- Namespace. S3 general purpose buckets are flat, and folders are key prefixes, so "renaming" a folder copies every object. ADLS directories are real, with atomic rename and delete. (S3 directory buckets do have a hierarchical namespace, but only for Express One Zone.)
- Permissions. ADLS supports POSIX-like ACLs on directories and files as well as RBAC. On AWS, fine-grained data lake permissions usually come from Lake Formation or S3 Access Grants.
- Feature trade-offs. The hierarchical namespace is required for SFTP and NFS 3.0 on Blob, but some Blob features have limits on ADLS accounts. Check the feature support matrix before enabling it.
- Drivers. Hadoop and Spark use S3A on AWS and ABFS on Azure.
Pricing summary
Pricing models only. No prices are quoted because they change by region and over time.
- AWS
- Standard S3 pricing by storage class and requests. Amazon S3 pricing →
- Azure
- Blob pricing by tier, with Data Lake Storage transaction pricing for hierarchical-namespace accounts. Azure Data Lake Storage (hierarchical namespace) pricing →
Certification exam mapping
| Exam | Provider | Level | Status |
|---|---|---|---|
| AWS Certified Data Engineer – Associate DEA-C01 | AWS | Associate | current |
| AWS Certified Solutions Architect – Associate SAA-C03 | AWS | Associate | current Italian version retires after Dec 31, 2026. |
| Microsoft Certified – Azure Solutions Architect Expert AZ-305 | Azure | Expert | current English version updated Apr 17, 2026. |
Relevance is based on each exam's published scope, not a line-by-line objective match. Check the official study guide.
FAQ
What is the Azure equivalent of Amazon S3?
On AWS, data lakes are built directly on S3 general purpose buckets. On Azure, you turn on the hierarchical namespace for a storage account to get Azure Data Lake Storage, which adds real directories, atomic renames, and POSIX-style ACLs.
How does pricing compare between Amazon S3 and Azure Data Lake Storage (hierarchical namespace)?
AWS: Standard S3 pricing by storage class and requests. Azure: Blob pricing by tier, with Data Lake Storage transaction pricing for hierarchical-namespace accounts. Check the official pricing pages for current rates.
Which certification exams cover this topic?
AWS Certified Data Engineer – Associate (DEA-C01); AWS Certified Solutions Architect – Associate (SAA-C03); Microsoft Certified – Azure Solutions Architect Expert (AZ-305).