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.
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.
The chart compares Microsoft’s on-premises and hosted database offerings.
Sidebar explains the various data types and technologies used in Microsoft database management offerings.
Azure Data Lake Storage offers a new back-end option to improve performance and scalability and raises questions about the future of Azure Data Lake Analytics
Azure Data Lake Storage provides scalable, peta-byte level storage and high-speed ingestion for unstructured data
Azure provides several Hadoop-based (Big Data) data management services, each providing specialized features with varying costs and configurations
Azure Data Lake provides scalable Big Data storage and computing services with a SQL-based interface to help leverage SQL skills to incorporate analysis in applications
Illustration shows Azure Data Lake Store components and requirements
