Our Database Design and Development Services

Our database design services and database development capabilities are tightly integrated, giving you a single team that handles the full lifecycle - from the first requirements meeting to long-term production monitoring. We offer the following core services:

ServiceWhat We Deliver
Custom Database Design Schemas architected from scratch around your exact business rules and data relationships
Database Development & Build Full database creation: tables, keys, indexes, stored procedures, triggers, and views
Database Design Consulting Expert advisory on schema strategy, normalization, platform selection, and best practices
SQL Server Database Design MS SQL Server architecture optimized for your transaction volumes and query patterns
Relational Database Design Normalized relational schemas enforcing referential integrity and eliminating redundancy
Data Warehouse Design Star/snowflake schemas and ETL pipelines via SSIS for analytics and reporting systems
Requirements & SRS Preparation Documented Software Requirements Specification - the single source of truth for development
Reverse Database Engineering ER diagram reconstructed from legacy systems; redundancy removed; migration roadmap built
Legacy System Migration Zero-data-loss upgrades from MS Access, FoxPro, or older SQL Server to modern platforms
Inventory Management DB Design Schemas for real-time stock tracking, ERP integration, and multi-warehouse operations
Ongoing DBA & Performance Support Remote monitoring, query tuning, index optimization, and schema evolution post-launch

Database Design Consulting: Strategy Before Structure

Many organizations begin a new application by asking their developers to build it - and then discover six months in that the underlying schema cannot support the features they actually need. Our database design consulting service exists to prevent exactly that. Before any development begins, our database design consultants work alongside your stakeholders to capture every business rule, data entity, workflow dependency, and integration requirement in a formal Software Requirements Specification (SRS). This document becomes the master plan that every developer, analyst, and project manager works from - eliminating ambiguity, scope creep, and expensive late-stage changes.

Our database design consulting services cover every dimension of architectural decision-making: choosing the right database platform, determining the correct level of normalization for your read/write balance, selecting appropriate data types to minimize storage and maximize indexing efficiency, and designing the relationship model to enforce integrity at the database layer rather than relying on application code. This means fewer bugs, simpler application logic, and a database that enforces your business rules automatically - even when accessed by multiple applications or third-party systems.

We use xCase, a professional-grade ER diagram tool, to produce a visual blueprint of every table and relationship before any database development work begins. Stakeholders can review this diagram, validate that it reflects their real workflows, and sign off before the first SQL script is written. This collaborative validation step is one of the most valuable parts of database design consulting - it consistently surfaces misunderstood requirements that would have become expensive bugs if caught only during testing or after launch.

Database Development: From Blueprint to Production

Good architecture only delivers value when it is implemented with the same precision used to design it. Our database development team takes the approved ER diagram and SRS and builds a production-ready database that matches the design exactly. We create all tables with the correct data types, establish primary key and foreign key relationships, build clustered and non-clustered indexes around the actual query patterns your application will execute, and write stored procedures, triggers, and views that encapsulate complex business logic at the data layer where it runs fastest.

Our database development process includes rigorous validation at every stage. Before handing a database off to the application development team, we test every constraint, verify that all relationships enforce referential integrity, benchmark query performance against realistic data volumes, and confirm that the schema supports every use case documented in the SRS. This discipline means application developers work with a stable, well-documented database - not one they have to reverse-engineer or work around.

Because our database design and development capabilities sit under the same roof as our custom software development services, the team that designs your database is the same team that builds your application. There is no translation gap between the data layer and the presentation layer, no finger-pointing when something does not behave as expected, and no time wasted reconciling design documentation with what was actually built. This integrated approach is a fundamental competitive advantage for our clients - and a core reason why projects delivered by The Farber Consulting Group consistently arrive on time and on budget.

Relational Database Design in DBMS: Normalization and Integrity

The foundation of any well-functioning application is a properly normalized relational database design. In a relational database design in DBMS, data is organized into tables where each fact is stored exactly once, and relationships between entities are enforced through primary keys and foreign keys. This structure eliminates redundancy, guarantees consistency, and makes reports trustworthy - because every query draws from a single authoritative source rather than stitching together conflicting copies of the same information.

Our database design in DBMS work applies normalization through the first, second, and third normal forms as a baseline, with careful judgment about when to denormalize specific tables for performance reasons in high-read workloads. A database designer in DBMS who understands only normalization theory will sometimes over-normalize to the point where queries require too many joins and performance suffers. Our team brings both theoretical rigor and practical production experience, meaning we know when to follow the rules precisely and when a controlled exception will deliver significantly better performance without sacrificing data integrity.

Strong relational database design also means that your database enforces business rules automatically. A properly designed schema makes it structurally impossible to create an invoice without a valid customer, record a shipment without a valid order, or store a transaction with an invalid account number. This kind of constraint-based integrity is far more reliable than application-layer validation, which can be bypassed, ignored in batch imports, or simply missed during development. When rules live in the database, they are enforced universally - regardless of how or where the data is written. 

SQL Server Database Design and Development

Microsoft SQL Server is the platform at the heart of most of our database design and development engagements, and our team brings deep hands-on expertise across every version and scale. Our SQL Server database design work covers schema architecture, indexing strategy, stored procedure development, query optimization, and long-term performance planning. We design schemas for both OLTP (transactional) and OLAP (analytical) workloads, selecting the right indexing types, table structures, and partitioning strategies for each use case.

For organizations with reporting and analytics needs, our database design consulting extends into data warehouse design. We architect star and snowflake schemas that cleanly separate operational data from reporting data, implement ETL pipelines using SSIS (SQL Server Integration Services), and ensure your analytical queries run against clean, well-structured data. This separation is critical for businesses that need fast transactional processing and fast reporting simultaneously - combining both workloads in a single unoptimized schema is one of the most common causes of database performance problems we encounter during consulting engagements.

Scalability is designed in from the start. We analyze expected data volumes, user concurrency, and query patterns before finalizing any SQL database design, ensuring the architecture holds up not just at launch but as your business grows. A schema that performs well at 100,000 records may collapse at 10 million if indexes, partitioning, and data types were not chosen with scale in mind. Our forward-looking database development approach prevents the expensive emergency redesigns that organizations face when they outgrow a system built for last year's volumes. 

Eliminating Redundancy Through Expert Database Design

Data redundancy is the most common performance killer in existing databases - and it almost always traces back to a database design that was built without a formal plan. When the same information is stored in multiple places, every update must touch multiple tables, every report risks returning conflicting results, and storage costs grow faster than necessary. Our database design consulting process eliminates redundancy by applying strict normalization at every layer of the schema, establishing a single authoritative source for every data point.

For systems with existing redundancy problems, we apply reverse database engineering using xCase to reconstruct the full ER diagram from the current schema. This process exposes every duplicate table, missing constraint, and structural flaw that has been silently degrading performance. We then redesign the affected structures, migrate existing data cleanly into the new schema, rebuild indexes, and validate that application queries work correctly against the improved database design. The performance improvements are consistently dramatic - reports that previously took five to ten minutes often run in under ten seconds after proper normalization and indexing are applied. 

Inventory Management Database Design and ERP Integration

Few database environments are as demanding as inventory management database design. Inventory systems require real-time accuracy across purchasing, receiving, sales orders, fulfillment, and returns - often spanning multiple warehouses and external systems. A weak schema causes overselling, stock discrepancies, delayed shipments, and reconciliation headaches that cost businesses significant money. Our db designer team has built inventory and ERP database solutions for manufacturing, distribution, and retail businesses that depend on exact real-time stock data.

Our approach to inventory management database design addresses the specific normalization and concurrency challenges these systems face: how to handle concurrent stock updates without race conditions, how to structure product hierarchies and variant data without redundancy, how to design the order and fulfillment pipeline for efficient query performance, and how to integrate with ERP and WMS systems through clean, well-defined data interfaces. A well-designed inventory database is the difference between a business that ships accurately and one that constantly firefights stock errors. Explore our automated ERP inventory management solutions for examples of what we have built for real clients. 

Reverse Engineering and Legacy Database Modernization

Not every database development engagement starts with a blank slate. Many clients arrive with legacy applications built on MS Access, Visual FoxPro, or old SQL Server configurations that accumulated tables and stored procedures over decades without a guiding architecture. Our reverse database engineering service uses xCase to extract the full schema from these systems, reconstruct the ER diagram, and identify every structural issue before we begin modernization. This gives us a complete, honest picture of what was built - and what needs to change.

Once the reverse-engineered ER diagram is complete, we develop a structured migration plan that redesigns the schema properly while preserving all existing data. Our MS SQL Server solutions team handles every migration with zero data loss. For MS Access users specifically, our MS Access to cloud migration service is often the most practical path: your existing data moves to a modern SQL Server database design with proper normalization, and the application layer is rebuilt to match. Clients consistently report that the modernized system is dramatically faster and far easier for their development teams to maintain and extend. 

Our Database Design and Development Process

We follow a structured, six-step methodology refined over 30 years of real-world database design and development projects. Each stage builds on the last, producing a database that is correct, complete, and maintainable from day one.

  • Discovery & Requirements Gathering - We interview stakeholders, audit existing data, and document every business rule, data entity, and integration requirement. Output: a detailed Software Requirements Specification (SRS).
  • Logical Data Modeling - We build a complete ER diagram in xCase, defining all entities, attributes, and relationships in a platform-independent format that stakeholders can review and validate before development begins.
  • Physical Database Design - The logical model is translated into a physical SQL Server database design: data types, primary keys, foreign keys, indexes, partitioning, and stored procedure architecture - all documented.
  • Database Development & Build - We implement the approved design: creating all database objects, writing stored procedures, configuring security, and populating reference data. Every constraint is tested before handoff to application development.
  • Integration & Performance Testing - We connect the database to your applications, ERP, CRM, and third-party systems. Query performance is benchmarked against realistic data volumes, and indexes are tuned based on actual execution plans.
  • Deployment, Monitoring & Ongoing Support - We deploy to production and remain engaged through our remote DBA services for ongoing performance tuning, schema evolution, and capacity planning.

Why Choose Farber for Database Design and Development Consulting?

With over 30 years of experience delivering database design and development solutions, The Farber Consulting Group brings a depth of expertise that newer firms simply cannot match. Every engagement is handled by senior-level database design consultants - we do not pass projects to junior staff. Your database is designed by professionals who have solved complex data challenges across dozens of industries and understand the long-term implications of every architectural decision.

What Sets Us ApartWhat It Means for Your Project
30+ Years of Experience Deep expertise across every scale and industry - no learning curve on your project.
Senior Consultants Only Your schema is designed by experienced professionals, not entry-level developers.
Spec-First, Design-Before-Build Full SRS and ER diagram completed before development begins - no structural surprises mid-project.
Integrated Design + Development The team that designs your database also builds your application - zero translation gap.
Custom, Not Cookie-Cutter Every schema is designed around your actual business rules, workflows, and growth plans.
End-to-End Accountability One team owns design, development, integration, and long-term support. One number to call.
Proven Migration Track Record Dozens of successful MS Access, FoxPro, and legacy SQL migrations - zero data loss.


Our database design and database development capabilities are fully integrated with our custom software development and remote DBA services. We also serve businesses across New Jersey and New York with both on-site and remote engagements. From the initial database design consulting session through long-term production support, we are your single point of accountability. Call 732-536-4765 or contact us online to start the conversation.

Frequently Asked Questions

What is the difference between database design and database development?

Database design is the planning and architecture phase: defining entities, relationships, normalization rules, and constraints using ER diagrams and data modeling tools. Database development is the implementation phase: creating the actual database objects - tables, indexes, stored procedures, and triggers - according to the approved design. Both disciplines are essential, and the best results come when the same experienced team handles both.

What does a database design consultant do?

A database design consultant analyzes your business requirements, documents them in an SRS, architects a normalized schema using ER diagrams, and guides development to ensure the database is implemented correctly. They prevent costly redesigns by resolving structural decisions before development begins - saving time, money, and significant technical debt.

How does database design consulting reduce project costs?

Without a formal database design consulting phase, developers make structural decisions ad hoc that are often impossible to reverse without rebuilding major parts of the application. Redundant tables, missing foreign keys, and misplaced indexes create technical debt that can double or triple long-term maintenance costs. A rigorous design phase consistently pays for itself many times over.

What is relational database design in DBMS?

In a DBMS (database management system), relational database design organizes data into tables with defined columns, enforces relationships through primary and foreign keys, and applies normalization to eliminate redundancy. This model is the standard for most business applications because it enforces data integrity at the structural level, making applications more reliable and reports more accurate.

How is database design different from database administration?

Database design focuses on creating the right schema and architecture before and during development. Database administration (DBA) covers the ongoing management of a live system - backups, security, monitoring, patching, and performance tuning. Good design makes the DBA's job significantly easier and the system more stable.

Can you design a database for inventory management systems?

Yes. Inventory management database design is one of our core specialties. We have designed inventory and ERP systems for manufacturing, distribution, and retail clients requiring real-time accuracy across multiple warehouses. Our designs handle concurrent updates, support fast analytical reporting, and integrate cleanly with third-party ERP and WMS platforms.

Do you offer database design and development services in New Jersey?

Yes. We provide database design services in New Jersey from our Marlboro, NJ headquarters, with remote consulting available for clients nationwide. We serve businesses across the tri-state area with both on-site and fully remote engagements.

What database platforms do you work with?

Our primary expertise is Microsoft SQL Server. We also work with MySQL, MS Access, Oracle, and other relational platforms, and we specialize in migrations between platforms. For MySQL-specific needs, our MySQL consulting services apply the same disciplined database design methodology. For a deeper look at our modeling approach, see our database design and data modeling services page.

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