quickstarts-data-solutions.md

title	description	ms.date	ms.topic	ms.custom
Getting started with data solutions for Python apps on Azure	Index of getting started material in the Azure documentation for data solutions for Python apps.	03/09/2024	conceptual	devx-track-python, py-fresh-zinc

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.

Databases

• 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.

  • Quickstart: Use Python to connect and query data in Azure Database for PostgreSQL - Flexible Server
  • Quickstart: Use Python to connect and query data in Azure Database for PostgreSQL - Single Server
  • Deploy a Python (Django or Flask) web app with PostgreSQL in Azure App Service

• MySQL: Build apps that scale with managed and intelligent SQL database in the cloud.

  • Quickstart: Use Python to connect and query data in Azure Database for MySQL - Flexible Server
  • Quickstart: Use Python to connect and query data in Azure Database for MySQL

• Azure SQL: Build apps that scale with managed and intelligent SQL database in the cloud.

  • Quickstart: Use Python to query a database in Azure SQL Database or Azure SQL Managed Instance

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 an API for Table app with Python SDK and Azure Cosmos DB
  • Quickstart: Azure Cosmos DB for Apache Gremlin library for Python

• Blob storage: Massively scalable and secure object storage for cloud-native workloads, archives, data lakes, high-performance computing, and machine learning.

  • Quickstart: Azure Blob Storage client library for Python
  • Azure Storage samples using v12 Python client libraries

• Azure Data Lake Storage Gen2: Massively scalable and secure data lake for your high-performance analytics workloads.

  • Use Python to manage directories and files in Azure Data Lake Storage Gen2
  • Use Python to manage ACLs in Azure Data Lake Storage Gen2

• File storage: Simple, secure, and serverless enterprise-grade cloud file shares.

  • Develop for Azure Files with Python

• Redis Cache: Power fast, scalable applications with an open-source-compatible in-memory data store.

  • Quickstart: Use Azure Cache for Redis in Python

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.

  • Manage Azure Data Lake Analytics using Python
  • Develop U-SQL with Python for Azure Data Lake Analytics in Visual Studio Code

• Azure Data Factory: A data integration service to orchestrate and automate data movement and transformation.

  • Quickstart: Create a data factory and pipeline using Python
  • Transform data by running a Python activity in Azure Databricks

• Azure Event Hubs: A hyper-scale telemetry ingestion service that collects, transforms, and stores millions of events.

  • Send events to or receive events from event hubs by using Python
  • Capture Event Hubs data in Azure Storage and read it by using Python (azure-eventhub)

• HDInsight: A fully managed cloud Hadoop and Spark service backed by 99.9% SLA for your enterprise

  • Use Spark & Hive Tools for Visual Studio Code

• Azure Databricks: A fully managed, fast, easy and collaborative Apache® Spark™ based analytics platform optimized for Azure.

  • Connect to Azure Databricks from Excel, Python, or R
  • Get Started with Azure Databricks
  • Tutorial: Azure Data Lake Storage Gen2, Azure Databricks & Spark

• Azure Synapse Analytics: A limitless analytics service that brings together enterprise data warehousing and big data analytics.

  • Quickstart: Use Python to query a database in Azure SQL Database or Azure SQL Managed Instance (includes Azure Synapse Analytics)