Azure Data Lake Storage

Azure Data Lake Storage (ADLS) is a massively scalable, secure, and cost-effective data lake solution within Microsoft Azure, designed for high-performance big data analytics workloads. It allows organizations to store petabytes of data of any type in its native format, providing HDFS-compatible…

Key facts

First appeared: 2016
Category: technology
Problem solved: Azure Data Lake Storage was created to address the challenges of storing and analyzing vast, diverse datasets (structured, semi-structured, unstructured) at scale, without the limitations of traditional relational databases or the complexities of self-managed on-premise big data storage. It provides a highly scalable, HDFS-compatible, and secure repository essential for modern analytics and machine learning.
Platforms: Microsoft Azure

Related technologies

Azure Stream Analytics
Azure Databricks
Azure Machine Learning
Azure Synapse Analytics
Power BI
Azure HDInsight (Apache Spark, Hadoop)
Azure Data Factory
Azure Data Explorer

Notable users

T-Mobile
Coca-Cola
Chevron
Walgreens
Progressive Insurance