Azure Data Lake Storage (ADLS) is the storage component of Azure Data Lake, a Microsoft-hosted service that provides storage and computing components to help capture and analyze various data types, such as unstructured data, often called Big Data.
Azure storage provides several options for redundancy and high availability of storage across data-center hardware, availability zones, and geographies.
Many Azure services leverage blob storage, some with more visibility than others.
Azure Blob storage provides object-based storage for large amounts of unstructured data, with options to meet several scenarios and redundancy requirements.
Microsoft’s data lake services provide high-speed ingestion and global scaling and support open-source technology that make them viable options for enterprise applications.
The chart compares Microsoft’s on-premises and hosted database management offerings, their query languages, and the data types they support.
Sidebar explains the various data types and technologies used in Microsoft database management offerings.
Microsoft's database management landscape includes on-premises and cloud solutions with proprietary and open-source products that are designed for all enterprise data types and workloads.
Azure Data Lake Analytics is retiring on Feb. 29, 2024, when Azure Data Lake Storage (ADLS) Gen 1 retires, which is no surprise as Analytics has a dependency on ADLS Gen 1.
Azure Data Lake Storage adds support for Append blobs, a storage option designed for applications that receive data streams, such as equipment logs.
Azure Data Lake Storage Gen 1 will retire in Feb. 2024, requiring a manual migration that will impact applications, processes, and security controls.
