EN
Book a call

Build a product

Database Design & Optimization. A data layer that stays calm at ten times the volume.

Proposal within 48 h How we work on it
  1. Workshop
  2. Setup
  3. Sprint
  4. Build & Support

Fixed price after scoping · proposal within 48 h

Reviewed: September 2026

Database Design & Optimization
Database Design & Optimization
Database Design & Optimization

Database Design & Optimization: Efficient database architectures for optimal performance.

A well-designed database architecture is the foundation of every successful application. We design, implement, and optimize database solutions with enterprise-grade security, high availability, and CI/CD-integrated migration pipelines. From relational databases (PostgreSQL, MySQL) through NoSQL solutions (MongoDB, Redis) to modern cloud databases – including encryption, RBAC, observability, and tested backup/restore processes.

Key Features

  • Performance optimized
  • Scalable
  • Regular backups
  • Optimally indexed
  • High-Availability-Ready
  • Encrypted
  • Observable & Traceable
  • PostgreSQL
  • MySQL
  • MongoDB
  • Redis
  • Prisma
  • Flyway
  • PgBouncer

We select the optimal tech stack for your specific requirements

How we work on it

  1. Workshop
  2. Setup
  3. Sprint
  4. Build & Support
(01)

Sprint

Four weeks on one goal, with something that runs at the end.

4 weeks · fixed price after scoping
(02)

Build & Support

We build the project out and stay alongside you once it is live.

after scoping, ongoing · fixed price after scoping; support billed monthly

Included

(01)

Analysis of data sources, query patterns and expected growth

(02)

Data model and schema with indexes, constraints and access rights

(03)

Choice of the right database (relational, document or vector)

(04)

Migration scripts and load testing with realistic data volumes

(05)

Backup and recovery concept plus documentation

Not included

(01)

Ongoing database administration after the 30 days of bug fixing (optional via Build & Support)

(02)

Business-level clean-up of contradictory legacy data without your decision

(03)

Licence and hosting costs for database or cloud services

How it runs

(01)

Analysis & requirements

We capture data sources, query patterns, data protection requirements and expected growth.

W1
(02)

Model & schema

Draft of the data model, review with your team and definition of indexes and access rights.

W2
(03)

Migration & handover

Migration scripts, load test, backup concept and documentation; followed by 30 days of bug fixing.

W3-4
(01)

CRM System

Related Use Cases
(02)

E-Commerce

Related Use Cases
(03)

Invoicing

Related Use Cases
(04)

Crafts & Construction

Relevant Industries
(05)

Healthcare & Care

Relevant Industries
(06)

Gastronomy & Hospitality

Relevant Industries
(01)

Data pipelines for AI

Topic page
(02)

Vector database integration

Topic page
(01)How is high availability ensured?
We configure multi-AZ deployments with automatic failover, read replicas for load distribution, and connection pooling (e.g., PgBouncer). For cloud databases, we leverage managed HA features from AWS RDS, Azure SQL, or GCP Cloud SQL.
(02)How do schema migrations work without downtime?
We use controlled migration tools like Prisma Migrate or Flyway with rollback plans tested in advance. Risky changes are performed via blue-green deployments or gradually using the expand-contract pattern. All migrations are CI/CD-integrated.
(03)How are backups tested?
Backups alone aren't enough – we perform regular restore tests to validate data integrity. You receive documented Recovery Time Objectives (RTO) and Recovery Point Objectives (RPO) based on actual test results.
(04)What security measures are included?
Full encryption (at rest and in transit), role-based access control (RBAC), secrets management for credentials, audit logs for all access, and PII handling per GDPR. For sensitive data, we additionally implement masking and tokenization.
(05)Which database do you recommend for my project?
It depends on your requirements: PostgreSQL for complex queries and ACID consistency, MongoDB for flexible documents and horizontal scaling, Redis for caching and real-time features. We analyze your use cases and recommend the optimal stack.
View all frequently asked questions

Ready for your project?

Talk to us for 30 minutes with no obligation, or write to us directly.

Book a call Proposal within 48 h

Fixed price after scoping · proposal within 48 h