Data solutions for Python apps on Azure
Azure offers a choice of fully managed relational, NoSQL, and in-memory databases, spanning proprietary and open-source engines in addition to storage services for object, block, and file storage. The following articles help you get started with Python data solutions on Azure.
PostgreSQL: Build scalable, secure, and fully managed enterprise-ready apps on open-source PostgreSQL, scale out single-node PostgreSQL with high performance, or migrate PostgreSQL and Oracle workloads to the cloud.
MySQL: Build apps that scale with managed and intelligent SQL database in the cloud.
Azure SQL: Build apps that scale with managed and intelligent SQL database in the cloud.
MariaDB: Deliver high availability and elastic scaling to open-source mobile and web apps with a managed community MariaDB database service
NoSQL, blobs, tables, files, graphs, and caches
Cosmos DB: Build applications with guaranteed low latency and high availability anywhere, at any scale, or migrate Cassandra, MongoDB, and other NoSQL workloads to the cloud.
- Quickstart: Azure Cosmos DB for NoSQL client library for Python
- Quickstart: Azure Cosmos DB for MongoDB for Python with MongoDB driver
- Quickstart: Build a Cassandra app with Python SDK and Azure Cosmos DB
- Quickstart: Build a API for Table app with Python SDK and Azure Cosmos DB
- Quickstart: Create a graph database in Azure Cosmos DB using Python and the Azure portal
Blob storage: Massively scalable and secure object storage for cloud-native workloads, archives, data lakes, high-performance computing, and machine learning.
Azure Data Lake Storage Gen2: Massively scalable and secure data lake for your high-performance analytics workloads.
File storage: Simple, secure, and serverless enterprise-grade cloud file shares.
Redis Cache: Power fast, scalable applications with an open-source-compatible in-memory data store.
Big data and analytics
Azure Data Lake analytics: A fully managed on-demand pay-per-job analytics service with enterprise-grade security, auditing, and support.
Azure Data Factory: A data integration service to orchestrate and automate data movement and transformation.
Azure Event Hubs: A hyper-scale telemetry ingestion service that collects, transforms, and stores millions of events.
HDInsight: A fully managed cloud Hadoop and Spark service backed by 99.9% SLA for your enterprise
Azure Databricks: A fully managed, fast, easy and collaborative Apache® Spark™ based analytics platform optimized for Azure.
Azure Synapse Analytics: A limitless analytics service that brings together enterprise data warehousing and big data analytics.
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