Data and analytics

Azure Data Lake Analytics is an on-demand analytics job service that simplifies big data.

Azure Data Lake includes all the capabilities required to make it easy for developers, data scientists, and analysts to store data of any size, shape, and speed, and do all types of processing and analytics across platforms and languages. It removes the complexities of ingesting and storing all of your data while making it faster to get up and running with batch, streaming, and interactive analytics. Azure Data Lake works with existing IT investments for identity, management, and security for simplified data management and governance. It also integrates seamlessly with operational stores and data warehouses so you can extend current data applications. We’ve drawn on the experience of working with enterprise customers and running some of the largest-scale processing and analytics in the world for Microsoft businesses like Office 365, Xbox Live, Azure, Windows, Bing, and Skype. Azure Data Lake solves many of the productivity and scalability challenges that prevent you from maximizing the value of your data assets with a service that’s ready to meet your current and future business needs.


Data Lake is a cost-effective solution to run big data workloads. You can choose between on-demand clusters or a pay-per-job model when data is processed. In both cases no hardware, licenses, or service specific support agreements are required. The system scales up or down with your business needs, meaning that you never pay for more than you need. It also lets you independently scale storage and compute, enabling more economic flexibility than traditional big data solutions. Finally, it minimizes the need to hire specialized operations teams typically associated with running a big data infrastructure. Data Lake minimizes your costs while maximizing the return on your data investment. A recent study showed HDInsight delivering 63% lower TCO than deploying Hadoop on premises over five years.