Data Lake Analytics
Distributed analytics service that makes big data easy
Azure Data Lake Analytics is an on-demand analytics job service that simplifies big data
Easily develop and run massively parallel data transformation and processing programs in U-SQL, R, Python and .NET over petabytes of data. With no infrastructure to manage, you can process data on demand, scale instantly and only pay per job.
Start in seconds, scale instantly and pay per job
Process big data jobs in seconds with Azure Data Lake Analytics. There is no infrastructure to worry about because there are no servers, virtual machines or clusters to wait for, manage or tune. Instantly scale the processing power, measured in Azure Data Lake Analytics Units (AU), from one to thousands for each job. You only pay for the processing that you use per job.
Develop massively parallel programs with simplicity
U-SQL is a simple, expressive and extensible language that allows you to write code once and have it automatically parallelised for the scale you need. Process petabytes of data for diverse workload categories such as querying, ETL, analytics, machine learning, machine translation, image processing and sentiment analysis by leveraging existing libraries written in .NET languages, R or Python. Watch the U-SQL query execution for Azure Data Lake video to see how we detect the type of objects in one million images using a U-SQL built-in cognitive library.
Debug and optimise your big data programs with ease
Debug failures in cloud-distributed programs as easily as debugging a program in your personal environment. Our execution environment actively analyses your programs as they run and gives you recommendations to improve performance and reduce cost. For example, if you request 1,000 AUs for your program and only 50 AUs are needed, the system recommends that you only use 50 AUs, reducing the cost by 95%.
Virtualise your analytics
Act on all your data with optimised data virtualisation of your relational sources such as Azure SQL Database and Azure Synapse Analytics. Your queries are automatically optimised by moving processing close to the source data without data movement, which maximises performance and minimises latency.
Enterprise-grade security, auditing and support
Extend your on-premises security and governance controls to the cloud and meet your security and regulatory compliance needs. Single sign-on (SSO), multi-factor authentication and seamless management of millions of identities are built in through Azure Active Directory. Role-based access control and the ability to audit all processing and management operations are on by default. We guarantee a 99.9% enterprise-grade SLA and 24/7 support for your big data solution.
Why trust Data Lake Analytics?
Microsoft invests more than USD 1 billion annually on cybersecurity research and development.
We employ more than 3,500 security experts dedicated to data security and privacy.
Azure has more certifications than any other cloud provider. View the comprehensive list.
Data Lake Analytics pricing
- No upfront cost
- No termination fees
- Pay only for what you use
- Per-second billing