Geodatabase Architecture and Design
A geodatabase is the foundation of every GIS deployment. When the geodatabase is well-designed, data quality is enforced automatically, queries are fast, and analysts can trust the data they are working with. When it is poorly designed, every downstream output — maps, dashboards, analysis — inherits the problems.
Most organizations build their geodatabases incrementally over years, adding feature classes and fields as needs arise without a coherent data model. The result is redundant data, inconsistent schemas, missing validation, and performance issues that compound over time.
GeoLever designs geodatabases that enforce data quality at the architecture level. We use attribute rules, domains, subtypes, relationship classes, and versioning strategies to build databases where bad data is harder to enter than good data. Diana brings firsthand knowledge of geodatabase internals from her work building Esri products.
What You Get
Every engagement is scoped with clear deliverables. Here is what a typical project includes.
Data Model Design
Complete geodatabase schema design with feature classes, tables, relationship classes, and topology rules documented in a data dictionary.
Attribute Rules and Domains
Attribute rules that enforce data quality on entry, coded value domains for consistent categorization, and range domains for numeric validation.
Relationship Classes
Properly configured relationships between features and tables that maintain referential integrity and support cascading operations.
Versioning Strategy
Enterprise geodatabase versioning configuration with reconcile and post workflows, conflict detection, and quality assurance procedures.
Migration Plan
If migrating from an existing geodatabase, a documented migration plan with data mapping, transformation rules, and validation steps.
Documentation
Complete data dictionary, schema diagrams, and standard operating procedures for data management.
How We Work
A structured engagement process designed for clarity at every step.
Assessment
We review your existing data, workflows, and requirements. What data do you collect, how do you use it, and what problems exist?
Design
We design the geodatabase schema, attribute rules, domains, and relationships based on your requirements and Esri best practices.
Build and Migrate
We build the geodatabase, configure rules and domains, and migrate existing data with validation checks.
Test and Document
We test data entry workflows, verify validation rules, and deliver complete documentation.
Training
We train your team on the new data model, entry procedures, and quality assurance workflows.
Pricing
$5,000 - $15,000
GeoConsult tier
Depends on the number of feature classes, complexity of relationships, and whether migration from an existing geodatabase is required.
You might also need
Data Quality Remediation
Systematic audit and correction of GIS data quality issues. Connectivity validation, attribute completion, geometric error correction, and schema standardization.
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ArcGIS Enterprise Optimization
Performance tuning, architecture review, and configuration optimization for ArcGIS Enterprise deployments that are underperforming or need an upgrade.
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GIS Training
Hands-on GIS training for ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise, StoryMaps, and geodatabase management. Remote or on-site. Customized to your team.
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Book a discovery call to discuss your geodatabase challenges and get a scoped proposal.
Free 30-minute discovery call. We will scope your project and provide a clear proposal.