Design, optimize, and fully leverage your spatial databases
Ensure the performance, integrity, and analytical power of your geographic information systems.

Overview

A well-designed spatial database is the cornerstone of any high-performing GIS infrastructure.
This service supports you throughout the entire lifecycle of your geospatial data: from initial modeling to executing complex spatial analyses via SQL, including performance tuning and process automation.

Our goal is to help you efficiently store, manage, and query your geographic data reliably and at scale.

Key Features (Examples)

🧱 Spatial Database Design & Modeling

• Creation of database schemas tailored to your business needs
• Support for major spatial DBMS: PostGIS, SQL Server Spatial, Oracle Spatial, etc.

🚀 Performance Optimization

• Spatial indexing (R-Tree, GIST, etc.)
• Table structure and query tuning
• Accelerated response times on large datasets

🔄 Data Migration & Integration

• Secure transfer of existing data
• Integration of heterogeneous new data sources (GIS, sensors, open data…)

🧮 Spatial Analysis with SQL

• Development of complex spatial queries for:
  • Proximity analysis
  • Topological queries (intersection, union, difference)
  • Connectivity, density, and spatial clustering studies

⚙️ Stored Procedures & Triggers

• Automation of repetitive tasks at the database level
• Maintaining data integrity and consistency

🛡️ Administration & Maintenance

• Best practices for backup, restore, user management, and security
• Performance monitoring and updates

Technologies Used (Examples)

• Spatial DBMS: PostgreSQL/PostGIS (recommended), SQL Server Spatial, Oracle Spatial, MySQL Spatial, SQLite/SpatiaLite
• Languages: SQL (with spatial extensions), PL/pgSQL (PostGIS), T-SQL (SQL Server)
• Tools: pgAdmin, DBeaver, SQL Developer, SQL Server Management Studio (SSMS)
• Modeling: Conceptual and logical data modeling (ER diagrams, normalization)

Strong Foundations & Performance

✅ Robust architecture designed for reliability and scalability
✅ Fast data access with optimized SQL queries for responsive analyses
✅ Data integrity ensuring spatial data quality and consistency
✅ Advanced analytics leveraging the full power of spatial SQL for meaningful geographic insights