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Geodatabase Design & Maintenance

Rock-solid data infrastructure for your spatial assets

95% (admin tasks automated)

Time Saved

80% (infrastructure costs)

Cost Reduction

99.95% uptime

Accuracy

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Industries Served:

Utilities

Transportation

Smart Cities

Government

Enterprise

Overview

Lean, scalable PostGIS schemas with robust indexing and automation. Automated backups, health checks, and version-controlled data migrations. Real-time monitoring dashboards ensure near-perfect uptime and fast queries.

Visual Workflow

How It Works: Visual Breakdown

See the complete automation workflow with diagrams and code examples

Automated Workflow Diagram

Visual representation of the MCP agent workflow from trigger to delivery

System Architecture

Enterprise database management with automated monitoring, MCP-powered query optimization, geometry validation, and real-time alerting.

🏗️Component Architecture Diagram

Visual representation of system components, data flow, and integrations

⚙️Key Components

PostGIS Primary/Replica

High-availability spatial database with streaming replication

Prometheus + Grafana

Real-time metrics monitoring with custom spatial dashboards

MCP Optimization Agent

AI-powered analysis of slow queries with optimization suggestions

Geometry Validation

Automated ST_IsValid checks with repair recommendations

Topology Checks

Ensures no overlaps, gaps, or dangles in polygon/line layers

Automated Backups

Daily pg_dump to S3 with point-in-time recovery capability

Diagram Legend

MCP AI Agents

Processing/Storage

Output/Visualization

Analytics/Monitoring

Visual Examples

See the solution in action with real dashboard examples and visual comparisons

🖼️Grafana Monitoring Dashboard

Real-time database performance metrics with spatial query monitoring

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Grafana Monitoring Dashboard

Screenshot Placeholder

Image path: /mockups/grafana-dashboard.png

Key Features:

✓Connection pool utilization graph

✓Query execution time histogram

✓Slow query log (queries >1 second)

✓Table size and index usage statistics

✓Spatial index performance metrics

✓Replication lag monitoring

🖼️Geometry Validation Report

Automated data quality report showing invalid geometries detected

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Geometry Validation Report

Screenshot Placeholder

Image path: /mockups/validation-report.png

Key Features:

✓Table with invalid geometry count

✓Issue types (self-intersection, gaps, overlaps)

✓Suggested repair SQL queries

✓Before/after validation comparison

✓Topology rules violated

✓Export list of problem features

💡Note: The dashboard screenshots above are placeholders. Actual screenshots will be added after deploying Streamlit dashboards or capturing real application screenshots. Image paths are specified for easy integration.

🤖 Agentic Workflow

Automated MCP Agent Workflow

Workflow Trigger

How the automation starts

New project or schema update required

Webhook Trigger

Receives schema requirements (data types, relationships, volume projections)

n8n

REST API

MCP Agent Schema Design

AI suggests optimal PostGIS schema, indexes, partitioning strategy, and constraints

MCP

Azure OpenAI

MCP Agent Prompt:

“Design a scalable PostGIS schema for managing wind farm projects with the following entities: projects (polygon geometries), turbines (point geometries), transmission lines (linestring), substations (points), permits (linked to projects), inspection records (time-series data linked to turbines). Recommend: table structures, primary keys, foreign keys, spatial indexes (GIST), non-spatial indexes (BTREE for date queries), partitioning strategy (by project or date), constraints, and backup recommendations. Plan for 500 projects, 10K turbines, 1M inspection records.”

Database Creation

Execute DDL statements: create tables, indexes, constraints, triggers

PostgreSQL

PostGIS

pgAdmin

Monitoring Setup

Configure health checks, query performance monitoring, automated alerts

Prometheus

Grafana

pgBadger

PagerDuty

Backup Configuration

Set up automated backups (daily full, hourly incremental) to S3 with retention policy

pg_dump

pg_basebackup

AWS S3

Cron

Documentation

Auto-generate schema documentation (ERD, data dictionary, API docs)

SchemaSpy

Markdown

Draw.io

Deliverables

What you receive automatically

Optimized PostGIS database schema
Spatial and non-spatial indexes
Automated backup and recovery procedures
Grafana monitoring dashboard
Schema documentation (ERD + data dictionary)
API endpoints for CRUD operations
Version control (Liquibase migrations)

Key Features

Scalable PostGIS schema design

Spatial indexing (GIST, BRIN, SP-GIST)

Partitioning for large datasets (range, list, hash)

Automated backups (full + incremental)

Real-time monitoring (Grafana dashboards)

Query performance optimization

Read replicas for analytics

Version-controlled migrations (Liquibase, Flyway)

Automated health checks and alerts

Technology Stack

Automation

n8n

Apache Airflow

Cron

GIS & Mapping

PostGIS

PostgreSQL

pgAdmin

QGIS

AI & Analysis

MCP Agents

Azure OpenAI

API Integrations

PostgreSQL Wire Protocol

Database connections

PostGIS Functions

Spatial operations

AWS S3 API

Backup storage

Prometheus API

Metrics collection

Grafana API

Dashboard creation

PagerDuty API

Incident alerts

Success Story

Real-World Results

Municipal Utility Department

Challenge

Managing 50K+ utility assets (poles, transformers, lines) in legacy GIS. Slow queries (30+ seconds), no spatial indexes, frequent downtime, manual backups. GIS admin spending 20 hrs/week on maintenance.

Our Solution

MCP agent designed new PostGIS schema with partitioning by service area. Migrated 50K features with automated ETL. Added spatial (GIST) and attribute (BTREE) indexes. Set up Grafana monitoring, automated daily backups to S3, and query performance alerts. Configured read replicas for reporting.

Results Achieved

Query speed: 30 seconds → 0.3 seconds (100x faster)

Uptime: 92% → 99.95%

Admin time: 20 hrs/week → 1 hr/week (95% reduction)

Automated backups with 30-day retention

Real-time monitoring dashboard (Grafana)

Cost: $50K one-time + $500/month hosting (vs $80K annual admin costs)

ROI: 14 months payback

Implementation Timeline

Flexible Pricing Options

Choose the plan that fits your needs

Pilot Project

Perfect for testing the solution

$12,000 (schema design, migration, monitoring setup)

Test the solution with a limited scope project to validate ROI before full deployment.

Get Started

Ready to Transform Your GIS Workflows?

Schedule a free 30-minute consultation to see how Geodatabase Design & Maintenance can deliver measurable ROI for your organization.

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Technologies We Work With

Leveraging cutting-edge technologies and industry-leading tools to deliver exceptional geospatial solutions and data analytics services.

QGIS

GIS Software

ESRI ArcGIS

GIS Platform

PostgreSQL

Database

PostGIS

Spatial Database

AWS

Cloud Platform

Google Cloud

Cloud Platform

DuckDB

Analytics Database

OpenAI

AI Platform

Claude AI

AI Assistant

CVAT

Annotation Tool

Python

Programming

React

Frontend

Node.js

Backend

Docker

Containerization

Kubernetes

Orchestration

Azure

Cloud Platform

TensorFlow

Machine Learning

Pandas

Data Analysis

NumPy

Scientific Computing

Jupyter

Data Science

Git

Version Control

Linux

Operating System

Ubuntu

Operating System

Mapbox

Mapping Platform

Leaflet

Web Mapping

Fastapi

API Framework

GeoPandas

Geospatial Analysis

GDAL

Geospatial Library