customers
- customer_idPK
- emailunique
- nametext
- created_atdate
Database Design
Build a Database Design Your Application Can Grow On
Turn requirements into a structured database model with clear entities, relationships, keys, constraints and documentation. Rudrriv helps define the data foundation before application development becomes dependent on a weak or inconsistent schema.
Clear ER modelEntities, attributes, relationships and cardinality mapped visually.
Integrity by designPrimary keys, foreign keys, constraints and consistent naming.
Structured normalizationReduce avoidable duplication while keeping the model practical.
Implementation-ready handoverSchema documentation and SQL DDL where included in scope.
Final scope is confirmed after reviewing your data objects, business rules, expected workflows and target environment.
Schema Workspace
Model review
RelationshipsKeys & cardinality
IntegrityConstraints & rules
ReadinessDDL & documentation
Database Design Plans
Choose the Right Level of Database Design
Start with a focused ERD and schema, or choose a broader model when your application has more entities, rules and documentation needs.
Schema Starter
For an MVP, feature or small application that needs a clean core relational model.
$20 USD
A focused database design covering the essential tables and relationships.
- Up to 5 core tables or entities
- Entity relationship diagram (ERD)
- Primary and foreign key design
- Basic normalization review
- Core constraints and data types
- SQL DDL for the agreed relational target
- 1 revision round
Application Model
For a growing web or business application with multiple connected modules.
$50 USD
A broader logical and physical model with stronger documentation for handover.
- Up to 15 tables or entities
- Conceptual and logical model
- Detailed ERD with cardinality
- Normalization and dependency review
- Keys, constraints and naming structure
- Index recommendations for key access paths
- SQL DDL and concise data dictionary
- 2 revision rounds
Architecture Plus
For a more complex system that needs deeper rules, documentation and implementation guidance.
$100 USD
A more detailed database architecture package for larger or more interconnected schemas.
- Up to 25 tables or entities
- Detailed logical and physical schema
- Complex relationship and junction-table design
- Normalization with selective denormalization notes where relevant
- Constraints, integrity rules and index plan
- SQL DDL and expanded data dictionary
- Design assumptions and handover notes
- 3 revision rounds
Prices are starting points for the stated scope. Legacy constraints, unusually complex business rules, very large schemas, migration planning or multiple data stores may require a custom quote.
Need a custom service or scope?
Not Able to Find the Right Service or Price?
Get in touch with our expert. Tell us what you need, and we’ll help identify the most suitable database design scope and pricing for your requirement.
Database Design Process
How the Database Design Process Works
The work moves from business rules to a model that can be reviewed, implemented and maintained without ambiguity.
01
Requirements & Data Discovery
Identify the main data objects, workflows, rules, reports and constraints the database must support.
02
Conceptual Model
Define the major entities and how they relate before committing to table-level detail.
03
Logical Schema
Map attributes, keys, cardinality and normalization so the information structure is consistent.
04
Physical Design
Translate the model into tables, data types, constraints and index recommendations for the agreed target.
05
Review & Handover
Validate assumptions, apply agreed revisions and deliver the final ERD, schema and documentation.
Common Database Design Problems
Fix Structural Issues Before They Become Application Constraints
A database can appear to work early on while still carrying design choices that become harder to change after more code and data depend on them.
Duplicate or repeated dataThe same fact is stored in several places, increasing inconsistency risk.
Unclear relationshipsCardinality and ownership are implied in code instead of made explicit in the data model.
Weak key and constraint designRecords can become difficult to identify, relate or validate reliably.
Schema built around screens instead of dataTables mirror the current interface rather than the underlying business entities and rules.
What You Receive
Database Design Deliverables You Can Hand to Development
The final package is organized around artifacts your team can review and use during implementation.
Entity Relationship DiagramA visual map of entities, attributes, relationships and cardinality.
Schema DefinitionTables or collections, field definitions, keys and agreed naming conventions.
Integrity RulesPrimary keys, foreign keys, uniqueness and other relevant constraints.
Normalization NotesDesign rationale for reducing duplication and keeping dependencies clear.
Index RecommendationsSuggested index candidates tied to important lookups and access paths.
Implementation HandoverSQL DDL and data dictionary where included in the selected plan.
Design Decisions Made Explicit
The Database Choices That Shape Reliability and Maintainability
Good database design is not only about drawing tables. The important decisions are documented so developers know why the model is structured the way it is.
Relationships & Cardinality
Clarify one-to-one, one-to-many and many-to-many relationships before they are buried inside application logic.
- Ownership rules
- Optional vs required links
- Junction-table needs
Keys & Integrity
Choose stable identifiers and constraints that keep records addressable and relationships valid.
- Primary key approach
- Foreign key strategy
- Uniqueness rules
Normalization Balance
Separate data where dependencies demand it, while documenting any deliberate exceptions made for the agreed workload.
- Repeated data review
- Dependency analysis
- Practical trade-offs
Access Patterns & Indexes
Connect important lookups and joins to an index plan instead of treating indexing as an afterthought.
- Frequent filters
- Join paths
- Index candidates
Before & After Database Design
From an Ad Hoc Schema to a Defined Data Model
This comparison shows the working-state changes database design can directly create without making claims about downstream business performance.
BeforeTables created as features are built
The structure grows screen-by-screen without a shared model of the underlying business entities.
AfterEntities and relationships are defined first
The schema follows a documented model that development can reference consistently.
BeforeRepeated values appear in multiple places
Updates become harder to manage because the same fact can be stored more than once.
AfterDependencies are reviewed and normalized
Data is organized so repeated facts and update paths are clearer within the agreed model.
BeforeRelationships are implied in code
Developers must infer which records belong together and which links are optional or mandatory.
AfterKeys and cardinality are explicit
Primary keys, foreign keys and relationship rules are documented in the ERD and schema.
BeforeNaming and data types vary by developer
Similar concepts can be represented inconsistently across different parts of the database.
AfterConventions are defined for handover
Field names, identifiers and core type decisions follow a consistent, reviewable pattern.
Database Design Quality Checklist
Review the Model Before It Becomes Expensive to Change
A design review should test more than whether every required field exists. It should check whether the model communicates intent clearly and whether important data rules are represented at the database level where appropriate.
Entities have clear responsibilitiesEach table or collection represents a distinct concept.
Keys are stable and unambiguousRecords can be identified and related consistently.
Relationships match business rulesCardinality and optionality are explicit.
Duplication has been challengedRepeated facts are reviewed before becoming permanent structure.
Constraints support integrityRelevant uniqueness and referential rules are represented.
The handover is understandableDevelopers receive a model they can implement without guessing.
Schema Review Snapshot
Entity naming and responsibilitiesReviewed
Primary / foreign key mappingReviewed
Relationship cardinalityReviewed
Normalization and dependenciesReviewed
Constraint requirementsReviewed
Important access-path indexesReviewed
ERD and schema documentationPrepared
What to Prepare
Inputs That Help Database Design Move Faster
You do not need a finished technical specification. A clear description of the business objects, rules and workflows is enough to begin the design conversation.
Product or Process Brief
What the application or workflow does and who will use it.
Main Data Objects
The customers, products, transactions, events or other records you expect to store.
Business Rules
Important dependencies, statuses, approvals, ownership rules and lifecycle steps.
Important Access Needs
Typical lookups, reports, joins and filters the database must support.
Where Database Design Helps
Use Cases for a Structured Database Model
The service is useful whenever developers need a shared, reviewable data model before or during implementation.
New Application or MVP
Define the core entities, relationships and keys before backend development starts depending on an improvised schema.
Existing Schema Cleanup
Review a database that has grown over time and identify structural improvements, duplicate data patterns and relationship gaps.
New Module or Product Area
Extend an existing data model with new entities while keeping naming, keys and relationships consistent with the wider system.
Business Workflow Database
Translate an operational process into a structured model for records, statuses, ownership, history and reporting needs.
Reporting-Ready Operational Data
Design source tables and relationships so important dimensions, transactions and reference data are easier to interpret downstream.
Technical Handover
Create an ERD, schema definition and data dictionary that gives developers and stakeholders a common reference point.
Practical Benefits
Why a Defined Database Design Matters
The value is a clearer data foundation: fewer assumptions, more consistent implementation and an easier schema to review as the application evolves.
Clearer Structure
Developers can see where each data concept belongs and how records relate to one another.
Stronger Data Integrity
Keys and constraints make important rules explicit instead of relying only on application code or developer memory.
Easier Handover
An ERD, schema and concise documentation give teams a shared source of truth for implementation discussions.
Database Design FAQs
Questions Before You Start
Answers to common purchasing, scope and delivery questions for the Database Design service.
What is included in Rudrriv’s Database Design service?
The service can include requirements review, entity and relationship modelling, an ER diagram, primary and foreign key design, normalization, data-type guidance, constraints, index recommendations, SQL DDL where applicable, and concise design documentation. The exact depth depends on the selected plan and agreed scope.
How much does Database Design cost?
Database Design plans currently start at $20 USD for a focused small-schema engagement. Larger application models are priced according to the number of entities, relationship complexity, documentation depth, and additional design requirements.
How long does the Database Design service take?
The standard delivery window is 5–7 working days. Final timing depends on the completeness of your requirements, the size of the data model, and how quickly design questions can be resolved.
What information do you need before you start?
Useful inputs include a description of the product or process, the main data objects you need to store, important business rules, expected workflows, reporting needs, any existing schema, and the target database environment if one has already been selected.
Can you design a database for a new application or MVP?
Yes. Database design is especially useful before development begins because the entities, relationships, keys, constraints, and naming conventions can be defined before application code depends on them.
Can you review and improve an existing database design?
Yes. An existing schema can be reviewed for structure, duplicated data, unclear relationships, key design, normalization issues, naming consistency, and indexing opportunities within the agreed scope.
Will I receive an ER diagram and SQL schema?
ER diagrams are included in the listed plans. SQL DDL can also be included where the agreed target is a relational database and the plan includes implementation-ready schema output.
Do you choose between SQL and NoSQL for me?
The service can document the trade-offs that matter for your use case, such as relationship complexity, consistency requirements, access patterns, scale characteristics, and reporting needs. The final platform decision is confirmed with you as part of the agreed scope.
Are revisions included?
Yes. Revision rounds are included according to the selected plan and are intended to refine the agreed database model using consolidated feedback.
Can I request a custom database design scope?
Yes. If your system has more entities, multiple modules, legacy constraints, data migration considerations, or unusually complex relationships, use the enquiry form and Rudrriv can review the requirement for a custom scope and quote.
Database Design Enquiry
Ready to Discuss Your Database Design Requirement?
Share what you are building, the approximate data scope and any existing schema. We will review the details and help identify the most suitable plan or custom scope.
Plans start at $20 USD for a focused small-schema engagement.
Standard delivery window: 5–7 working days.
Custom scope is available for larger or more complex data models.
Your enquiry stays on this page while it is submitted.