Database solutions keep operational applications and analytical stores reliable. We design transactional databases and data warehouses with explicit workload boundaries. Delivery covers schema design, migration, performance tests, high availability, backup and documented recovery.
Delivery is Made in Germany (PostgreSQL, SQL Server, MySQL, MongoDB). For legacy migrations, we estimate effort and risk transparently with our data migration cost calculator.
A data warehouse makes distributed source data decision-ready — database consulting delivers the reliable roadmap from analysis to production operations.
A data warehouse consolidates operational data from ERP, CRM, production and external sources into one consistent analytics layer. Metrics no longer depend on spreadsheet versions. Our database consulting starts with source analysis and modelling. We select a star schema, data vault or lean reporting database.
Pragmatic development then delivers performant ETL pipelines and documented KPI definitions.
Typical use cases include group reporting, self-service BI and master-data history. The warehouse also prepares KPI dashboards on a reliable foundation. Delivery is Made in Germany from East Frisia. Measurable releases replace multi-month big-bang projects.
A data warehouse pays off when systems deliver conflicting numbers. It also helps when nightly reporting slows production or audit teams need unified definitions. Consulting compares a central layer, lean data mart and source-system tuning. Volume, latency and budget guide the decision.
We start with a source inventory and data-quality checks. Next, we define the target model. Migration and pipelines then roll out in phases. Integration uses APIs and interfaces with agreed cutover dates.
Quality assurance, monitoring and ongoing optimisation keep the warehouse productive. We add Power BI or other BI tools when visualisation is the focus. Next step: review your data and BI potential.
The data model decides maintainability and performance of the entire application — fixes after go-live cost more than careful schema design upfront.
Cardinalities, integrity rules and naming conventions clarified only after launch force migration under production load — with downtime risk and rising effort for every further change.
Database solutions matter when SME teams share master data across ERP, CRM and production. Queries stay fast, and separate spreadsheet islands disappear.
Rigorous database design supports every solution. We define relationships, integrity rules, naming conventions and clear master-data ownership.
Database development turns the model into a production system. We work with PostgreSQL, SQL Server, MySQL or MongoDB . Delivery includes migration scripts, QA and testing and a documented handover to your operations team.
Database optimisation starts when monitoring reveals slow queries or lock waits. We tune indexes, configuration and caching. Where needed, we also apply pragmatic denormalisation.
Data architecture aligns the target system, interfaces and compliance. This prevents later analytics or AI projects from failing because of conflicting keys.
Typical bottlenecks include undocumented schema growth, outdated major versions and missing backup drills . We replace big-bang cutovers with roadmaps and measurable milestones. Where needed, legacy modernisation supports the transition.
Clear security-by-design rules and role models complete our Database Solutions. Delivery is Made in Germany, with documented handover and optional software maintenance.
Go deeper: Database & Business Intelligence for KPIs and reporting, API integration for ERP and APIs, and data analytics on the same data foundation.
Tailored structures aligned with your processes — professional database design as the basis for efficient processing and analysis.
Relational or flexible stores — see SQL vs. NoSQL for technology choice.
Secure migration with integrity checks — including migration cost estimation and API integration.
Indexing, query tuning and caching — see performance & scaling.
Dashboards and reporting via database & BI and data analytics.
Protection with backup & recovery and security audit support.
Our solutions grow with your business — supported by scaling concepts and read replicas under rising load.
Optimised structures and efficient queries — with monitoring and measurable database optimisation.
Comprehensive measures aligned with security-by-design and GDPR requirements.
Consistency through integrity checks and transaction management — foundation for reliable system integration.
Modern architectures reduce operating cost — compare migration costs and modernisation ROI.
Flexible solutions that evolve with requirements — plus ongoing maintenance.
Need database expertise?
Greenfield design, migration or performance tuning — use our long-standing database experience.
We analyse your business processes and data requirements — often in the project check or a workshop with business and IT stakeholders.
We create tailored database design — aligned with SQL vs. NoSQL and your data architecture.
We implement the concept and integrate the database into your IT landscape and applications.
We test and optimise performance — see performance & scaling and our modernisation ROI calculator.
We train your team and offer ongoing maintenance with monitoring and reports.
Book a database fit check — we assess performance, high availability and migration paths and develop a concept for your database layer.
We advise on database projects without obligation—contact us for an initial discussion.
Does modernising your database pay off? – Calculate database modernisation ROI →
The database is the heart of every modern business application . It is also a common source of performance problems, outages and security gaps. Many companies rely on structures designed years ago for very different requirements.
Slow queries, duplicates, missing backups and outdated versions create daily problems. Inefficient processes and frustrated teams turn those problems into real costs. Use our data migration cost calculator and modernisation ROI tool to frame the business case.
Groenewold IT Solutions has worked with relational and document databases since 2010. Hundreds of projects have given us practical experience with:
Whether you build a new application, modernise an existing database or migrate from a legacy system — we support you with practical expertise focused on performance, security and maintainability.
Performance issues are a common trigger: queries that used to take milliseconds suddenly need minutes. We analyse execution plans, fix indexes, review schema normalisation and tune configuration — aligned with performance & scaling.
Another focus is data migration: from Access to SQL Server, from Oracle to PostgreSQL, or from a monolith to a microservices architecture. We map the current state, migrate with validation and cut over with minimal downtime — see our in-depth article data migration and quality.
For high availability and disaster recovery we design clusters, failover and tested restore processes — because a backup that was never restored is not a real backup.
NoSQL versus SQL is an architecture decision, not dogma. We often combine PostgreSQL for master data, Redis for caching and search engines for full-text — with cloud or on-premise setups via hosting where it fits.
Proactive monitoring and maintenance prevent small issues from becoming outages — with regular health checks and actionable reports for maintenance clients.
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 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.
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.
On the scheduling page, pick a free slot for a 30-minute intro call about Database Solutions – straightforward next steps.
Free & non-binding · 30-minute intro call
Book next available slotA professionally maintained database supports every reliable business application. It determines whether reports arrive in milliseconds or minutes. It also determines whether migrations remain controlled. Strong foundations keep security and compliance achievable over time.
We support the full database lifecycle, from modelling to tuning and migration. Each phase produces documented artefacts and measurable milestones. Handover goes to your operations team or managed hosting.
Frequently asked questions
Operational databases protect transactions, integrity, response times and recovery for applications.
A data warehouse separates analytical load and stores history from several sources. We design models, migrations, indexes, backup, access and handover around the actual workload.
KPI definitions, dashboards and self-service belong to the complementary business intelligence service rather than the operational database layer.
A data warehouse pays off when teams copy reports manually or departments publish conflicting figures.
Group reporting may also require unified KPIs. Before a Power BI or Tableau rollout, a DWH provides consistent keys. Database consulting checks whether a lean layer is enough. Some source systems may instead need migration or tuning.
Prioritised releases, parallel runs and measurable data checks control cost and risk.
We start with a source inventory, KPI workshops and data profiling.
Database consulting then defines the target model, pipelines and ERP or CRM interfaces. We select PostgreSQL, a cloud-native warehouse or a hybrid based on budget and operations. Finance and business teams agree master-data owners, cutover dates and acceptance criteria.
After launch, we monitor pipelines, runtimes and consistency. Training and documentation help your team connect new sources independently.
Review data warehouse & BI potential
We align sources, KPIs and architecture in a structured intro call.
Sound database design prevents costly rework.
Define cardinalities, integrity rules and naming conventions before production development. This matters especially for customers, orders and inventory. In practice, we start with a domain model and key entities. We then build initial tables and interfaces before refining them.
Early performance and indexing decisions reduce later surprises. Legacy data stores remain wrapped while controlled migration progresses. Database Solutions bundles this complete engineering chain.
Database optimisation starts with execution plans, wait statistics, workload patterns and lock history.
We avoid random configuration changes. Evidence guides index changes, query rewrites, statistics maintenance and configuration tuning. Some workloads need caching layers or read replicas. Others benefit from selective denormalisation or materialised views.
Database development implements each change with regression tests and rollout plans. This lowers latency and CPU load without immediate hardware spending.
Database Solutions combines design, rollout, migration and operations.
The package aligns with ERP, CRM and industry logic. Data architecture identifies source systems, master-data owners and interface boundaries. We turn that target picture into a feasible roadmap for mid-sized companies. Prioritised releases and recorded interfaces give executives and IT shared terms.
Development and optimisation remain connected. Later analytics or AI projects so avoid inconsistent data keys.
Structure your database project
We align Database Solutions, database design and database optimisation in one clear plan.
Poor database design produces inconsistent keys and incomplete history.
Reporting figures then diverge quickly. We model timelines, currencies and multi-tenant rules early. We also document business terms during development. Database optimisation keeps aggregate workloads from slowing production. Warehousing or data-lake extensions handle extra analytics needs.
The architecture stays extensible without overloading operational systems.
Internal SQL skills matter.
External specialists add migration patterns, disciplined reviews and load-testing experience. This helps with high access, zero-downtime cutovers and multi-region setups. We support time-critical delivery and secure code through automated checks. Strategic ownership of design and optimisation remains with your team.
Traceable outputs and playbooks make the knowledge transferable. This partnership can close skill gaps while growth pressures continue.
Solid database design prevents duplicates and expensive rework. We translate business rules into consistent entities, relationships and keys — aligned with business owners and audit where needed.
Workshops with your experts yield terms, cardinalities and mandatory fields. We produce a traceable ER model as input for database development.
We normalise where integrity would suffer. We denormalise selectively where read paths need reporting or performance — documented so database optimisation stays understandable later.
Constraints, references and timelines are fixed before heavy production load hits the schema. This is the basis for credible Database Solutions and later data analytics steps.
Database development delivers DDL/DML scripts, stored procedures where business logic must be encapsulated, plus automated deploys via DevOps and tests — so releases stay repeatable.
PostgreSQL, SQL Server and MySQL/MariaDB cover transactional workloads; technology choice follows your cloud or on-premise strategy.
MongoDB, Redis or Elasticsearch fit flexible schemas — embedded in a clear data architecture, not as another silo without an interface concept.
From legacy databases we move data with mapping and cutover planning — often after code analysis. Database optimisation of the target environment starts during testing, not only after go-live.
Database optimisation starts with evidence: slow statements, missing indexes, lock contention and resource pressure. We do not make random parameter tweaks without context.
Execution plans, statistics maintenance and targeted indexes often reduce latency by orders of magnitude. We document all changes for regression testing.
Pools, timeouts and memory settings match workload and hardware — linked to monitoring so optimisation is not a one-off sprint.
Redis or read replicas offload the primary when read patterns allow. Database design and database development must plan invalidation up front — see performance & scaling.
Database Solutions means the coherent package of database design, development, optimisation and operations — embedded in a data architecture that reflects ERP, CRM and industry logic.
We define leading systems, data flows and owners for master data. This is the basis for consistent reporting and later AI knowledge base use of the same foundation.
Whether RDS, Azure SQL or managed PostgreSQL: we balance cost, latency and GDPR compliance — supported by hosting consulting.
Encryption, roles, backup and restore drills belong to our Database Solutions — as do monitoring and alerting. See our security audit and backup & disaster recovery guidance.
Focus here: database design, migration, performance and operational architecture – not the BI main page data analytics and not Microsoft dashboard delivery on Power BI.
For warehouse, semantic layer and KPI governance: database & BI. Overview: Data, analytics & databases.
Service overview: Data, analytics & databases (overview)
Use our funding calculator to see which government grants may apply to your project.
Björn Groenewold – Managing Director
Related topics
Complementary services from other areas
These services are frequently requested together with Database Solutions or complement it thematically.
AI & machine learning: match the service to the need
Integration & interfaces: find the right entry point
From the field: Central Command – Lexware, Clockify & Timebutler (in-house). All references.
Use our interactive calculator for a first budget indication—free and non-binding.
Thorsten Frieling – Projektmanagement
Project references
Documented examples with transparent evidence types — browse matching references or open the full case study.
Database projects create value when master data, query performance and operating responsibility are treated as one system. We plan schema design, migration, monitoring and handover together.
For established landscapes, the first decision is whether targeted optimisation is enough or a staged platform migration is safer.
Related reading for Database Solutions: the services overview, topic pages, the IT Glossary and publications.
Our topic overview links related articles and entry points alongside this service page.
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