Data Platform

Build your next application on a fully managed Azure SQL Database Intelligent, scalable relational database service built for the cloud. It is perennial and always up-to-date, with automated and AI platform features that optimize performance and durability for you. Hyper-scale storage and serverless compute options automatically scale resources on demand, so you can focus on building new applications without worrying about resource management or storage size.

A Boundless Data Lake to Drive Intelligent Action Azure Data Lake includes all the features you need to make it easy for developers, data scientists and analysts to store data of any size, shape and speed, as well as perform all kinds of processing and analysis across different platforms and languages. It removes the complexities related to ingesting and storing all your data, while speeding up the execution of batch, streaming, and interactive analysis. It also has direct integration with operational repositories and data warehouses, so you can extend existing data applications. 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 is ready to meet your current and future business needs.

Build or modernize high performance, scalable applications Azure Cosmos DB is a fully managed NoSQL database service for modern application development with single-digit millisecond response times and 99.999% guaranteed availability, backed by SLAs, automatic and instant scalability, and open-source APIs for MongoDB and Cassandra.

Store and access unstructured data at scale Azure Blob Storage helps you create data lakes for your analytics needs and provides storage to build advanced cloud-native and mobile applications. Optimize costs with tiered storage for your long-term data and expand high-performance computing and machine learning workloads.

Easy, affordable, enterprise-grade service for open source analytics Azure HDInsight is a cloud distribution of the Hadoop components. Azure HDInsight makes it easy, fast, and cost-effective to process large amounts of data. You can use the most popular open source frameworks such as Hadoop, Spark, Hive, LLAP, Kafka, Storm, R, and more. With these frameworks, you can enable a wide variety of scenarios, such as extract, transform, and load (ETL), data warehouse, machine learning, and IoT.