- Multiple database services to store a wide variety of data types and volumes.
- Have global connectivity and instant data availability
- 📝 Globally distributed (= multiple regions) database service
- Supports schema-less data, stores JSON
- 💡 Good for Always On applications to support constantly changing data.
- Helps with failover during regional disaster
- Transparent multi-master replication, 99.999% high availability for both reads and writes
- 💡 Good for data used by & maintained by users around the globe.
- Caches frequently used and static data to reduce data and application latency
- Azure Database for MySQL: Fully managed and scalable MySQL
- Azure Database for PostgreSQL: Fully managed and scalable PostgreSQL
- Azure Database for MariaDB: Fully managed and scalable MariaDB
- SQL server on VMs: Host SQL servers in own VPNs
- Relational database as a service (DaaS)
- Based on the latest stable version of the Microsoft SQL Server database engine.
- High-performance, reliable, fully managed and secure database
- Allows to migrate existing SQL Server to Azure
- Performs all of the required steps.
- Minimal downtime
- Uses the Microsoft Data Migration Assistant
- Generate assessment reports that provide recommendations
- Formerly SQL Data Warehouse
- 📝 A cloud data warehouse for the enterprise
- Characterized by high resiliency through automatic scaling.
- Massive parallel processing (MPP) to run complex queries quickly across petabytes of data
- 📝 A big data and advanced analytics service providing open-source analytics, processing and integrations with big data frameworks, including:
- Apache Hadoop
- Apache Spark
- Apache HBase
- Apache Kafka
- Useful for big data tasks such as ETL (Extract, Transform, Load), data warehousing, machine learning, and IoT.