HOST · Database & Data Infrastructure
Your data infrastructure is your competitive edge.
Every business decision, every customer experience, and every AI initiative your organisation will pursue depends on what happens at the data layer. Getting this right is not optional — and it is among the hardest decisions to reverse.
THE SITUATION TODAY
A single database platform no longer serves every workload
Enterprise data requirements have fractured. Transactional systems, analytical platforms, real-time streaming, and AI workloads each place fundamentally different demands on data infrastructure — in terms of performance, query patterns, throughput, and latency. Purpose-built database categories are proliferating in response, and legacy estates designed around a single platform type are struggling to keep pace.
At the same time, the data infrastructure market is converging toward a new model — one that unifies transactional and analytical workloads on a single, governed platform. AI is accelerating this shift: the speed at which an organisation can access, query, and act on clean data is becoming a direct measure of competitive capability.
Database decisions are among the most expensive to reverse — poorly architected data infrastructure compounds in cost and complexity over time.
Performance bottlenecks in core data systems slow every application that depends on them. Fragmented database estates increase data movement overhead, multiply operational costs, and introduce compliance risk at every boundary. And AI initiatives that require fast, reliable access to clean, governed data simply cannot progress without a modern data foundation underneath them.
A well-designed data infrastructure strategy eliminates these constraints — establishing the governed, scalable foundation that operational systems, analytics, and AI all require to perform.
Eliminate data bottlenecks in core systems by matching database architecture to actual workload requirements.
Provide AI and machine learning initiatives with the fast, reliable, governed data access they require to deliver results at scale.
Reduce data movement overhead and operational complexity by consolidating fragmented estates onto converged, purpose-fit platforms.
Govern data consistently across hybrid environments, reducing the compliance risk that fragmented database estates create.
Build the high-availability and data protection foundations that critical systems require to meet demanding recovery objectives.
What we help you build
Database & Data Infrastructure spans the full data platform stack — from transactional systems and analytical workloads to AI-ready infrastructure and legacy modernisation — focused on performance, governance, and long-term sustainability.
Enterprise Relational Databases
Platform selection, architecture, and lifecycle management for mission-critical relational database systems — supporting transactional workloads with the performance, availability, and governance controls that core business applications require.
Analytical & Lakehouse Platforms
Modern analytical data platforms that unify transactional and analytical workloads on a single governed foundation — enabling high-performance querying, data sharing, and self-service analytics across hybrid environments.
AI & Vector Data Infrastructure
Data platform configurations engineered for AI training, inference, and retrieval-augmented generation — addressing the high-throughput, low-latency requirements that traditional relational architectures were not designed to meet.
Hybrid Data Architecture
Governed data platform designs spanning on-premises, cloud, and edge environments — ensuring consistent data availability, lineage, and policy enforcement regardless of where workloads run or where data originates.
High Availability & Data Protection
Resilience architectures and data protection strategies for critical database estates — delivering the replication, failover, backup, and recovery capabilities needed to meet the availability and recovery objectives of core business systems.
Database Modernization
Structured migration and modernisation programmes for legacy database estates — reducing technical debt, improving platform efficiency, and establishing the architectural foundations needed for analytics and AI at scale.
Platforms we work with
We work with enterprise data platforms selected for proven performance, long-term vendor support, and fit with your workload requirements — whether you are running mission-critical transactional systems, scaling analytical capacity, or building the data foundation for AI.
