Hi @NATH, DEEPAK Thank you so much for your query.
Azure SQL Database Hyperscale tier does indeed support spatial data types, including geometry and geography. This capability is essential for applications dealing with large-scale spatial data, such as your 20TB+ dataset. Below is a comprehensive overview to assist you in leveraging spatial data within Azure SQL Database
- Hyperscale. Azure SQL Database supports two primary spatial data types:
- geometry: Represents planar (flat-earth) spatial data.
- geography: Represents geodetic (round-earth) spatial data.
Both types support various spatial objects, including Point, LineString, Polygon, MultiPoint, MultiLineString, MultiPolygon, GeometryCollection.
- Many modern applications depend heavily on spatial data for purposes like mapping, tracking locations, geographic analysis, and more. When dealing with massive datasets that contain millions or even billions of spatial points, lines, and polygons, it becomes essential to have efficient storage and fast querying capabilities.
- Azure SQL Database Hyperscale is designed to handle these demanding requirements because: It can scale storage seamlessly to accommodate very large volumes of spatial data without compromising performance. It supports quick backups and restores, helping to reduce downtime during maintenance. It allows the use of advanced indexing techniques, including spatial indexes, which keep queries running efficiently as the data grows. It fully supports all the standard SQL Server spatial data types and functions, so your spatial queries and operations work just like they would on a traditional SQL Server.
You can refer Documentation Also, This Documentation
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