Data Modeling
Data analysis, ER diagram creation, relational normalization. Optimal logical and physical schema design.
# service
Database Design & Architecture
Robust, scalable and high-performance data architectures. Relational or NoSQL design optimized for your use cases.
# scope
What's Included in the Service
Relational vs NoSQL
Evaluation and selection of the best database: PostgreSQL, MySQL, MongoDB, DynamoDB. Hybrid approach when needed.
Indexing Strategy
Index design for fast queries. Query plan analysis, index tuning, constraint definition.
Scalability
Architecture built for growth. Sharding, replication, partitioning. Scale without compromise.
Data Security
Encryption, access control, audit trail. Referential integrity, constraints, data validation.
Documentation
Complete schema documentation, query examples, migration scripts, maintenance guide.
# types
Types of Database Design
PostgreSQL Design
Powerful relational database. ACID compliance, JSON support, full-text search. Perfect for complex applications with relationships.
- Relational schema
- ACID Transactions
- Advanced queries
MongoDB Design
NoSQL document-based. Flexible schema, horizontal scaling. Ideal for semi-structured data and massive scalability.
- Document model
- Horizontal scaling
- Flexible schema
Hybrid Architecture
Combination of PostgreSQL + MongoDB + Redis. Leverage the best of both. Polyglot persistence.
- Multiple databases
- Best tool per task
- Caching layer
Time-Series & Analytics
Database optimized for time-series data. Metrics, events, analytics. InfluxDB, TimescaleDB, Elasticsearch.
- Time-series queries
- Aggregation
- Analytics ready
# process
Design Process
Requirements Analysis
Domain understanding, data analysis, stakeholder interviews. Identifying entities, relationships and key queries.
Data Modeling
ER diagram, attribute identification, relationships. Cardinality analysis. Normalization to 3NF/BCNF.
Technology Selection
Database evaluation: PostgreSQL? MongoDB? Redis? Justification and trade-off analysis. Optimal choice for the use case.
Schema Implementation
Creating tables/collections, constraints, defaults. DDL scripts, migration scripts. Schema version control.
Optimization & Testing
Query performance testing, index optimization. Load testing, stress testing. Benchmark against requirements.
Documentation & Handoff
Schema documentation, data dictionary, query library. Maintenance guide, backup strategy, best practices.
# stack
Database Technologies
Relational
- PostgreSQL
- MySQL
- MariaDB
- Oracle
NoSQL Document
- MongoDB
- CouchDB
- Firebase
Key-Value & Caching
- Redis
- Memcached
- Elasticsearch
Time-Series
- TimescaleDB
- InfluxDB
- Prometheus
# faq
Frequently Asked Questions
How much does database design cost?
Depends on complexity. Simple database (5-15 tables): €500-1,500. Medium database (15-50 tables): €1,500-3,500. Complex database (50+ tables, multiple technologies): €3,500+.
How long does the design take?
Simple database: 1-2 weeks. Medium database: 2-4 weeks. Complex database: 4-8 weeks. Includes testing and documentation.
Can you migrate from an existing database?
Yes, we handle data migration and schema evolution. Current database assessment, migration planning, thorough testing.
What documentation do you provide?
Complete schema documentation with ER diagram, data dictionary, sample queries, migration scripts, maintenance guide and best practices.
Post-design support?
Yes, 30 days of support included. Available for questions, clarifications, minor design adjustments if needed.
Let's Design Your Database
Contact me for a free database architecture consultation. We'll analyze your project and recommend the best solution.
Contact me on LinkedIn