Database Systems

Database Systems & Data Application Development

Structured, secure, and queryable data - built to last.

StrataGrid Inc. designs and builds database systems, data management applications, and reporting tools for enterprise and government organizations across Canada. From schema design and performance optimization to custom reporting interfaces and data migration, we ensure your data is well-structured, accessible, and maintained.

Overview

What Are Database Systems & Data Application Services?

Database systems services cover the full lifecycle of data infrastructure: schema design, database selection, query optimization, access control, backup and recovery planning, reporting layer development, and data migration. Data application development adds a software layer on top - dashboards, data entry interfaces, search and filtering tools, and reporting systems that let your team access and act on data without writing SQL. For government and enterprise clients, well-designed data systems are foundational to reliable operations.

StrataGrid designs data systems for organizations across Canada - from federal databases handling sensitive personal information to enterprise reporting systems aggregating operational data from multiple sources. Our data work always includes proper access controls, audit logging, and documentation suitable for public-sector accountability requirements.

Relational schema design (PostgreSQL, MySQL, MSSQL)
NoSQL & document databases (MongoDB, Firestore)
Query optimization & indexing
Data migration & cleanup
ETL pipeline development
Reporting dashboards (lightweight)
Data entry & management interfaces
Search & filter application layers
Role-based data access control
Database backup & recovery planning
Cloud-managed databases (AWS RDS, Azure SQL)
Redis caching layers
Why StrataGrid

Why Choose StrataGrid for Database Systems

Purpose-Designed Schema

We design schemas around your actual data relationships and query patterns - not generic templates - resulting in fast queries, consistent data, and minimal application-level workarounds.

Optimized Performance

Proper indexing, query optimization, connection pooling, and caching strategies ensure your data layer performs under real workloads - not just in development.

Access Control & Audit Logging

Database-level access controls combined with application-layer role management and audit logging ensure only authorized users can access sensitive data - with a complete record of who accessed what.

Custom Reporting Tools

We build lightweight reporting dashboards and data interfaces that give your team direct access to insights without requiring developer involvement for routine queries.

Clean Data Migration

Data migrations are executed with comprehensive validation - record counts, checksum verification, and business-rule validation - so no data is lost or corrupted in transition.

Complete Data Documentation

Every database we deliver includes an entity-relationship diagram, data dictionary, schema documentation, and query guide - so your team fully understands what you have.

Our Process

Database Systems Delivery Process

We follow a clear, structured process so every decision, milestone, and handoff is documented.

01

Discovery

We take time to understand your problem, users, workflows, and goals before writing a single line of code.

02

Solution Design

We map out the structure, features, and roadmap - giving you a clear picture of what will be built and why.

03

Software Development

We build the application, backend, APIs, automation tools, and supporting systems using modern, maintainable practices.

04

Testing & QA

We test thoroughly, fix issues, and confirm the solution is reliable before it reaches your users.

05

Deployment & Support

We launch the solution and provide ongoing support and improvements as your needs evolve.

Who We Work With

Database Systems for Real Operating Environments

These are the teams, workflows, and operating models where this work creates the most value.

Government Data Management Systems

Structured databases for government programs - grants, licenses, cases, registrations - with proper data entry interfaces, access controls, and reporting for management and audit.

Reporting Databases & Dashboards

Reporting-optimized databases that aggregate data from operational systems and present it through dashboards - giving leadership teams accurate, timely operational metrics.

Data Cleanup & Normalization

Unstructured or poorly organized legacy data cleaned, normalized, deduplicated, and migrated to a well-structured database - making it usable for reporting and integration.

Multi-System Data Integration

Central data stores that consolidate information from multiple source systems - ERP, CRM, custom applications - giving a unified, consistent view of operational data.

Custom Data Entry Applications

Structured data entry interfaces that replace spreadsheets and paper forms - with validation, lookups, audit trails, and integration to downstream reporting and reporting systems.

ETL & Data Pipeline Development

Scheduled or event-driven pipelines that extract data from source systems, apply business-rule transformations, and load it into reporting databases or analytics platforms.

Our Services

Everything We Deliver

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Database Systems & Data Support

Structured data systems that help organizations store, manage, and access information more effectively.

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Cybersecurity-Aware Development

Security, structure, and maintainability built into every system from the beginning - not added as an afterthought.

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IT Consulting & Technical Support

Technical planning, system design, implementation help, or additional development capacity for your team.

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Get In Touch

Ready to Build Something That Works?

Talk to our team about your project. We'll help you scope the problem, identify the right approach, and deliver a solution that lasts.

FAQ

Questions About Working Together

Which database should we use - PostgreSQL, MySQL, MongoDB, or something else?

The right database depends on your data structure, query patterns, team expertise, and hosting environment. PostgreSQL is our default recommendation for most relational data needs - it's powerful, open-source, and cloud-managed by all major providers. MongoDB is better for unstructured or highly variable document data. We advise on the right choice for your specific situation rather than prescribing a one-size-fits-all answer.

Can you migrate our data from an old system to a new one?

Yes. Data migration is a core part of most of our projects. We design migration scripts with comprehensive validation - comparing source and target record counts, validating business rules, and running parallel verification before cutover. We plan migrations to minimize operational downtime.

How do you handle sensitive personal data in database design?

We apply data minimization principles (collecting only what's needed), field-level encryption for highly sensitive values, access controls that limit who can query sensitive fields, and audit logging on access to protected data. For systems subject to the Privacy Act or PIPEDA, we also produce data flow documentation suitable for Privacy Impact Assessments.

Can you build a reporting interface on top of an existing database?

Yes. We frequently build custom reporting dashboards and data access tools on top of existing databases - without changing the underlying data structure. This gives your team self-service access to reports without requiring developer involvement for routine data requests.

What's the difference between a transactional database and a reporting database?

Transactional databases (OLTP) are optimized for fast reads and writes of individual records - for example, recording a form submission or updating a case status. Reporting databases (OLAP or data warehouses) are optimized for aggregate queries across large datasets - for example, counting all cases closed in a quarter by type. Many mature data architectures maintain both, with ETL pipelines moving data from transactional to reporting systems.