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Azure offers a wide range of fully managed database and storage solutions, including relational, NoSQL, and in-memory databases, with support for both proprietary and open-source technologies. You can also choose from object, block, and file storage services. The following articles can help you get started using these options with Python on Azure.
PostgreSQL: Build scalable, secure, and fully managed enterprise apps using open-source PostgreSQL. You can scale single-node PostgreSQL for high performance or migrate existing PostgreSQL and Oracle workloads to the cloud.
MySQL: Build scalable applications using a fully managed, intelligent MySQL database in the cloud.
Azure SQL: Build scalable applications with a fully managed and intelligent SQL database platform in the cloud.
Cosmos DB: Build low-latency, high-availability apps at global scale, or migrate Cassandra, MongoDB, and other NoSQL workloads to the cloud.
Blob storage: Secure, massively scalable object storage for cloud-native apps, data lakes, archives, high-performance computing (HPC), and machine learning.
Azure Data Lake Storage Gen2: Scalable, secure data lake optimized for high-performance analytics.
File storage: Simple, secure, and serverless enterprise-grade cloud file shares.
Redis Cache: Accelerate application performance with a scalable, in-memory data store compatible with open source.
Azure Data Lake analytics: Fully managed, pay-per-job analytics service that delivers powerful parallel data processing with built-in enterprise-grade security, auditing, and support.
Azure Data Factory: A fully managed data integration service that lets you visually build, orchestrate, and automate data movement and transformation across various data sources.
Azure Event Hubs: A fully managed, hyper-scale telemetry ingestion service designed to collect, transform, and store millions of events per second from connected devices and applications.
HDInsight: A fully managed cloud service that runs popular open-source frameworks like Hadoop and Spark, backed by a 99.9% SLA for enterprise-grade big data analytics.
Azure Databricks: A fully managed, fast, easy and collaborative Apache® Spark™ based analytics platform optimized for big data and AI workloads on Azure.
Azure Synapse Analytics: A fully managed analytics service that unifies data integration, enterprise data warehousing, and big data analytics into a single platform.
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