Software development
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250+ projects · 5.0 on Google · 100% in Germany
Database work with modelling, performance budgets and backup strategy
For mid-sized companies: SQL/NoSQL and migrations under control—monitoring before the fire drill – delivery and project ownership from Germany (Leer/East Frisia), named contacts, no offshore guesswork.
- 250+ delivered projects
- 5.0 stars on Google
- 100% engineering in Germany
Database solutions for SMEs: database design, database development and database optimisation from one partner – Made in Germany (SQL Server, PostgreSQL, MySQL, MongoDB). Performance, high availability, backups.
From requirements to production operations
Database solutions matter when ERP, CRM and production share the same master data and queries stay fast. Every team keeping its own spreadsheet island is the problem we solve. We deliver Database Solutions with rigorous database design:
- Entities, integrity rules and naming conventions
- Clear ownership for master data
Database development turns the model into PostgreSQL, SQL Server, MySQL or MongoDB. This includes migration scripts, tests and handover to your operations team. Database optimisation kicks in when monitoring shows slow queries or lock waits. We address indexes, configuration, caching and pragmatic denormalisation where needed.
Under data architecture we align the target picture, interfaces and compliance. This ensures later analytics or AI projects do not break on conflicting keys. Growing schemas without documentation, missing backup drills or outdated major versions are typical bottlenecks. We use roadmaps with measurable milestones instead of big-bang cutovers. Groenewold IT Solutions supports German SMEs with traceable architecture choices, security-by-design and documented handover.
Go deeper: Database & Business Intelligence for KPIs and reporting, API integration for ERP and APIs, and data analytics on the same data foundation.
Database design: domain model, normalisation, integrity
Solid database design prevents duplicates and expensive rework. We translate business rules into consistent entities, relationships and keys. This is aligned with business owners and audit where needed.
Requirements and domain model
Workshops with your experts yield terms, cardinalities and mandatory fields. We produce a traceable ER model as input for database development.
Normalisation and pragmatic exceptions
We normalise where integrity would suffer. We denormalise selectively where read paths need reporting or performance. This is documented so database optimisation stays understandable later.
Integrity, tenants and history
Constraints, references and timelines are fixed before heavy production load hits the schema. This is the basis for credible Database Solutions and later analytics.
Database development: SQL, NoSQL, migration, interfaces
Database development delivers DDL/DML scripts, stored procedures where business logic must be encapsulated, plus automated deploys and tests. Releases stay repeatable as a result.
Relational core systems
PostgreSQL, SQL Server and MySQL/MariaDB cover transactional workloads, complex joins and reporting paths. Technology choice follows your cloud or on-premise strategy.
NoSQL, cache and polyglot persistence
MongoDB, Redis or Elasticsearch fit flexible schemas, write-heavy loads or full-text search. These are embedded in a clear data architecture, not added as another silo without interfaces.
Migration and integration
From legacy databases we move data with mapping, reconciliation and cutover planning. Database optimisation of the target environment starts during testing, not only after go-live.
Database optimisation: measurably faster without blind tuning
Database optimisation starts with evidence: slow statements, missing indexes, lock contention and resource pressure. We do not make random parameter tweaks.
Query and index work
Execution plans, statistics maintenance and targeted indexes often reduce latency by orders of magnitude. We document all changes for regression testing.
Configuration and connections
Pools, timeouts and memory settings match workload and hardware. Monitoring ensures database optimisation is not a one-off sprint.
Caching and read scaling
Redis or read replicas offload the primary when read patterns allow. Database design and database development must plan invalidation and consistency up front.
Database Solutions and data architecture: target picture for your IT landscape
Database Solutions means the coherent package of database design, development, optimisation and operations. It is embedded in a data architecture that reflects ERP, CRM and industry logic.
Reference architecture and ownership
We define leading systems, data flows and owners for master data. This is the basis for consistent reporting and later AI use of the same foundation.
Cloud, on-premise and hybrid
Whether RDS, Azure SQL, managed PostgreSQL or own hardware: we balance cost, latency and compliance. We do not ignore lock-in risks.
Security, backup and compliance
Encryption, roles, backup and restore drills belong to our Database Solutions. So do monitoring and alerting. All of this supports audits and leadership alike.
Service building blocks
Database design and modelling
Tailored structures aligned with your processes—professional database design as the basis for efficient processing and analysis.
SQL and NoSQL databases
Relational or flexible stores—we advise which technology fits your specific workload.
Data migration and integration
Secure migration into new systems with integrity checks and minimal downtime.
Business intelligence
Dashboards and reporting so leadership works from one source of truth.
Security and backup
Comprehensive protection with automated backups, point-in-time recovery and tested restores.
Questions?
We advise on database projects without obligation—contact us for an initial discussion.
Vector databases: search by meaning
Normal databases search by exact keys or full text. Vector databases (Pinecone, Weaviate, pgvector) store meaning and allow similarity search. That underpins AI applications like RAG, where a model answers from your data. We help you build an AI knowledge base so documents and FAQs are searchable by meaning.
SaaS and multi-tenancy
SaaS needs databases where many customers share one system without seeing each other's data. Multi-tenancy can mean one DB with tenant columns, separate schemas, or separate DBs per customer. We design the right setup and use ORM and Infrastructure as Code so new tenants can be added in a repeatable way.
High availability and disaster recovery
Critical systems need more than one server. We design setups with primary and replicas, automatic failover and clear backup and recovery. Load balancing spreads reads across replicas. With good monitoring you spot lag and bottlenecks before outages. We test recovery so your RPO/RTO targets are met.
Frequently asked questions
Database solutions
Design, delivery and operations
Must we finish database design before we start database development, or can both run in parallel?
Sound database design prevents costly rework later. Cardinalities, integrity rules and naming conventions should come before production development. This is especially true for core entities such as customers, orders or inventory. In practice we often iterate: we start with a domain model and key entities, build first tables and interfaces, then refine.
We consider performance and indexing in the schema early. This avoids surprises later. Where legacy constraints exist, we wrap old data stores and migrate in controlled steps. Under the label Database Solutions we bundle this full engineering chain rather than isolated one-off tasks.
What does database optimisation mean for you beyond quick index tips?
Database optimisation starts with measurements: execution plans, wait statistics, workload patterns and lock history. We do not make random config changes without context. From that we derive index changes, query rewrites, statistics maintenance and configuration tuning. Sometimes we add caching layers or read replicas. We revisit past design choices for practical denormalisation or materialised views.
Database development then implements changes with regression tests and rollout plans. The result is lower latency and CPU load, often without immediate hardware spend.
How do Database Solutions and a clear data architecture help SMEs without a dedicated data team?
Database Solutions means the integrated package of database design, implementation, migration and operations. It is aligned with ERP, CRM and industry logic. Data architecture names the target picture: which systems are the source of truth, how master data is owned, and where interfaces sit. For mid-sized companies we turn that into a feasible roadmap with prioritised releases and documented interfaces.
This gives executives and IT the same vocabulary. Database development and optimisation stay linked. That way, later analytics or AI projects do not break on inconsistent data keys.
Structure your database project
We align Database Solutions, database design and database optimisation in one clear plan.
Schedule a callCosts, migration and security
How does database design affect later reporting and BI requirements?
Without clean database design, consistent keys and history are missing. Reporting figures diverge quickly as a result. We model timelines, currencies and multi-tenant rules early. We also document business terms alongside database development. Database optimisation ensures aggregate workloads do not slow down production overnight.
Where warehousing or data lake extensions are needed, we point to complementary Database Solutions on the analytics side. The data architecture stays extensible without overloading the operational system.
When does external support for database development pay off if our IT already knows SQL?
Internal SQL skills matter. External database development adds migration patterns, review discipline and load-testing experience. This is especially valuable for high availability, zero-downtime cutovers or multi-region setups. We relieve your team on time-critical deliveries. We also secure code through reviews and automated checks. Database design and optimisation remain strategically yours. We deliver traceable outputs and playbooks.
Typical SME IT teams face skill gaps and growth pressures at the same time. Partnering on database development is often the fastest route to stable production.
Up to 50% of your investment via BAFA/KfW
Use our funding calculator to see which government grants may apply to your project.
Related topics
Complementary services from other areas
These services are frequently requested together with Database Solutions or complement it thematically.
AI & Machine Learning
Integration & Interfaces
