Data Lake Storage Roadmap

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

Update Sept. 2025: The service is mature but still receiving helpful updates, such as new Storage Actions that help automate data management and compliance and new failover scenarios to manually control how to failback after the problems are solved.

Azure Data Lake Storage (ADLS) provides general data lake storage features to capture and analyze various data types. Data lakes typically store vast amounts of unprocessed data in its native format; for example, a data lake might perform high-speed ingestion of logs and sensor data. On-premises data lakes can be expensive and are difficult to scale and manage. ADLS simplifies some of the complexities by providing petabyte-level storage and high-performance computing as a managed cloud service. ADLS is used by various Azure-based analytics services, such as Fabric, and the data it stores can be queried programmatically and with third-party tools.

Product: Data Lake Storage

Recent Updates and Near-Term Roadmap (2025–2026)

ADLS is a mature offering that continues being improved by Microsoft, but at a much slower pace than in the past. The most notable updates for ADLS in 2025 include the following two items:

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