Microsoft Azure offers a comprehensive suite of data management tools and services to help organizations store, process, analyze, and visualize their data. Here are some key Azure data management tools and services:

1. Azure SQL Database: Azure SQL Database is a fully managed relational database service that offers built-in high availability, automated backups, and intelligent performance optimization. It supports both single databases and elastic pools for managing multiple databases with varying resource requirements.
2. Azure Cosmos DB: Azure Cosmos DB is a globally distributed, multi-model database service designed for building highly responsive and scalable applications. It supports multiple data models including document, key-value, graph, and column-family, and offers automatic scaling, low-latency reads and writes, and comprehensive SLAs.
3. Azure Data Lake Storage: Azure Data Lake Storage is a scalable and secure data lake service that allows organizations to store and analyze massive amounts of structured and unstructured data. It offers integration with various analytics and AI services and supports hierarchical namespace for organizing data efficiently.
4. Azure Synapse Analytics: Azure Synapse Analytics (formerly SQL Data Warehouse) is an analytics service that enables organizations to analyze large volumes of data using both serverless and provisioned resources. It provides integration with Apache Spark and SQL-based analytics for data exploration, transformation, and visualization.
5. Azure HDInsight: Azure HDInsight is a fully managed Apache Hadoop, Spark, and other open-source big data analytics service in the cloud. It enables organizations to process and analyze large datasets using popular open-source frameworks and tools.
6. Azure Data Factory: Azure Data Factory is a fully managed extract, transform, and load (ETL) service that allows organizations to create, schedule, and orchestrate data workflows at scale. It supports hybrid data integration, data movement, and data transformation across on-premises and cloud environments.
7. Azure Stream Analytics: Azure Stream Analytics is a real-time event processing service that helps organizations analyze and react to streaming data in real-time. It supports both simple and complex event processing using SQL-like queries and integrates with various input and output sources.
8. Azure Databricks: Azure Databricks is a fast, easy, and collaborative Apache Spark-based analytics platform that provides data engineering, data science, and machine learning capabilities. It enables organizations to build and deploy scalable analytics solutions using interactive notebooks and automated workflows.
9. Azure Data Explorer: Azure Data Explorer is a fully managed data analytics service optimized for analyzing large volumes of telemetry data from IoT devices, applications, and other sources. It provides fast and interactive analytics with support for ad-hoc queries, streaming ingestion, and rich visualizations.

These are just a few examples of the data management tools and services available on Azure. Depending on specific requirements and use cases, organizations can leverage Azure’s comprehensive portfolio of data services to meet their data management needs.