Azure Synapse Analytics | Microsoft Azure (2024)

Gain insights from all your data, across data warehouses, data lakes, operational databases, and big data analytics systems. Query both relational and nonrelational data using the language of your choice. For mission-critical workloads, easily optimize the performance of all queries with intelligent workload management, workload isolation, and limitless concurrency.

Expand discovery of insights from all your data through integration with Power BI and Azure Machine Learning. Enable practitioners to easily apply machine learning models to all your intelligent apps without any data movement. Significantly reduce project development time for BI and machine learning projects. Seamlessly apply intelligence over all your most important data—from Dynamics 365 and Microsoft 365 to third-party datasets— thenshare datawith just a few clicks.

The Synapse Studio provides a workspace for data prep, data management, data exploration, enterprise data warehousing, big data, and AI tasks. Data engineers can use a code-free visual environment for managing data pipelines. Database administrators can automate query optimization. Data scientists can build proofs of concept in minutes. Business analysts can securely access datasets and use Power BI to build dashboards in minutes—all while using the same analytics service.

Go from after-the-fact analysis to near-real-time insights by eliminating barriers between Microsoft data stores and Azure Synapse Analytics. Use Azure Synapse Link to automatically move data from both operational databases and business applications without time-consuming extract, transform, and load (ETL) processes. Get an end-to-end view of your business by easily connecting separate systems—and democratize data access with a solution that brings the power of analytics to every data-connected team.

Keep your data safe with advanced security and privacy features like automated threat detection and always-on encryption. Ensure fine-grained control with column-level and row-level security, column-level encryption, and dynamic data masking to automatically protect sensitive data in real time.