Data Lake Storage

by
Andrew Snodgrass

by
Andrew Snodgrass

Andrew analyzes and writes about Microsoft's data management, business intelligence, and machine learning solutions, as well as aspects of licensing... more

Azure Data Lake Storage (ADLS) is the analytics-oriented capability set of Azure Blob Storage, switched on by enabling a hierarchical namespace on a storage account rather than by deploying a separate service. It gives large-scale analytics workloads a file and directory structure, Hadoop-compatible access through the ABFS driver, and access control at the file and directory level, while holding raw data in its native format at petabyte scale. Azure and third-party analytics services, including Microsoft Fabric and Azure Databricks, read and write their data lakes through ADLS.

Product: Data Lake Storage

Licensing: Data Lake Storage

Near-Term Updates and Roadmap (2026–2027)

ADLS is a mature service, and Microsoft’s recent work reflects that. Rather than adding data lake features, Microsoft has been adding cost automation, estate-wide visibility, and recovery controls that apply to Blob Storage and ADLS together, while the new analytics capability customers hear about arrives in Microsoft Fabric and OneLake, which are built on top of ADLS rather than beside it.