GIS Mapping Services

GIS Spatial Database Design
& Creation Services

Enterprise-grade geodatabase design, schema development, data migration, and API integration — powering robust GIS applications for infrastructure management, urban planning, and operations across Gujarat and India.

ESRICertified Tools
PostGISOpen Source
REST APIIntegration Ready
Our Expertise

Structured Spatial Databases That Power Smart Decisions

HRP Infra's GIS database specialists design and build robust enterprise geodatabases for oil & gas, water utilities, smart city, and infrastructure clients. From schema design to data migration and API integration, we create spatial data architectures that scale with your organisation's needs — using ESRI, PostGIS, Oracle Spatial, and SQL Server Spatial platforms.

Geodatabase Schema Design

Custom feature dataset and feature class schema design with subtypes, domains, relationship classes, and topology rules tailored to your infrastructure data model.

Data Migration & ETL

Structured migration from legacy formats — Shapefile, CAD DXF, Excel, CSV, scanned maps — into clean, validated geodatabases with full attribute mapping and QA/QC.

Topology & Data Quality

Topology rule configuration, network dataset creation, and automated validation scripts ensuring geometric integrity — no gaps, no overlaps, no disconnected features.

Multi-User Enterprise GDB

Enterprise Geodatabase (ArcSDE) deployment on PostgreSQL, Oracle, or SQL Server — supporting concurrent multi-user editing, versioning, and branch/traditional workflows.

REST API & Web Services

ArcGIS Feature Services, WMS/WFS, and RESTful API publishing for integration with dashboards, mobile apps, SCADA systems, and third-party ERP platforms.

Security & Backup

Role-based access control, spatial data encryption, automated backup schedules, and geodatabase archiving — meeting ISO 27001 and government data security standards.

Technology Stack

Platforms & Tools We Use

ESRI ArcGIS Pro
ArcGIS Enterprise / SDE
QGIS
PostGIS / PostgreSQL
Oracle Spatial
SQL Server Spatial
FME (Feature Manipulation Engine)
Python (ArcPy / GDAL)
GeoServer / MapServer
Process

GIS Database Creation Workflow

1
Requirements Analysis

Understand data model, user workflows, performance needs, and integration requirements.

2
Schema Design

Feature class design, domain configuration, relationship rules, and topology setup.

3
Data Migration

ETL pipeline development, attribute mapping, and migration from legacy sources.

4
QA/QC & Validation

Topology validation, attribute completeness checks, and accuracy verification.

5
Deployment & Training

Production deployment, API publishing, user training, and ongoing support.

Business Value

Why Invest in a Proper GIS Database?

10x Faster Query Performance

Properly indexed spatial databases deliver query results in milliseconds versus minutes with unstructured shapefile collections — critical for real-time operational dashboards.

Consistent Data Integrity

Topology rules, domains, and relationship constraints prevent the data errors that plague spreadsheet-based asset management systems.

Versioned Editing for Teams

Enterprise geodatabases support branch versioning — multiple field teams can edit concurrently without data conflicts, with full change history and rollback.

Seamless System Integration

REST API and WFS services enable your GIS database to power dashboards, mobile apps, SCADA, and ERP systems with live, authoritative spatial data.

FAQs

Frequently Asked Questions

A geodatabase is a structured collection of geographic datasets stored in a relational database management system. It organizes spatial features and their attributes, relationships, topology, and domains in a format optimized for GIS analysis and editing.
We work with ESRI File/Enterprise Geodatabase, PostgreSQL/PostGIS, SpatiaLite, Oracle Spatial, and SQL Server Spatial — delivering schemas compatible with ArcGIS, QGIS, MapInfo, and custom web GIS platforms.
A File Geodatabase is single-user and stored as a local file folder — suitable for small teams. An Enterprise Geodatabase runs on a RDBMS server, supports multi-user editing, versioning, and enterprise-level concurrency for large organizations.
Yes. We perform data migration and schema transformation from legacy formats (Shapefile, CAD, spreadsheets) into structured geodatabases with full attribute mapping, data cleansing, and topology validation.
Timeline depends on data volume and complexity. A typical city-level water network geodatabase with 50,000+ features takes 4–8 weeks including schema design, data migration, QA/QC, and final delivery.
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Build Your GIS Spatial Database Today

Our geodatabase architects in Ahmedabad will design a spatial data architecture that scales with your infrastructure and powers smarter decisions.