Database, Analytics, and AI/ML Roadmap

A high-level discussion of Overall trends and roadmap focuses on Microsoft’s adoption of open source technologies, what that means for Microsoft’s proprietary software, and where Directions sees Microsoft’s focus in the coming years.

A general comparisons of database and analystics offerings is in the illustration Comparing Database and Analytics Offerings.

Database (open-source) chapter covers the growing list of database and data storage products and services that are built entirely on open-source technology.

Database (Microsoft technology) chapter covers the database and data storage software and services that use Microsoft proprietary technology, primarily based on SQL Server technology.

Microsoft uses the term Azure SQL as a brand that includes SQL Server on Azure VMs, Azure SQL Database, and Azure SQL Managed instance.

Analytics chapter discusses services that help gather, wrangle, and cleanse, data for further processing by analysts and applications.

Streaming data chapter focuses on products that processing real-time data like machine logs, sensor data, and social media posts to deliver insights or provide actionable alerts for other applications.

AI and machine learning chapter includes services that allow developers to create models from scratch or use prebuilt AI solutions.

Reporting chapter focuses on products used to build and deliver reports, metrics, and dashboards to end users.

Data integration and movement chapter covers the eclectic set of offerings that provide one of more parts of an extract, transform, and load (ETL) process.

Data governance chapter discusses the growing footprint of Purview’s compliance and data governance capabilities used to apply policies, track usage, and help protect data and ensure compliance.