Scalable, Cloud-Native Architecture
Modern Data Platforms
As a Microsoft Cloud Partner, we design and deploy modern data platforms that unify your data, reduce silos, and enable cloud-based analytics at scale.
Platforms we design, deploy and run
Microsoft Fabric Featured Partner 
Fabric Databases Featured Partner 
Data & AI on Azure 
Real-Time Intelligence Featured Partner 
Infrastructure (Azure) Key Capabilities
Microsoft Fabric & Azure Data Factory Implementation
We implement and optimise Microsoft Fabric and Azure Data Factory to unify your data engineering, warehousing, real-time analytics, and Power BI in a seamless, integrated experience.
Databricks & Lakehouse Solutions
We deploy Databricks and Lakehouse architectures for data engineering and ML workloads, enabling advanced analytics, machine learning, and unified governance at enterprise scale.
Data Warehousing & Data Lakes
We design and build data warehousing, data lake, and multicloud data architectures that consolidate your data assets and provide a single source of truth for analytics and reporting.
Real-Time Streaming & Analytics
We implement real-time streaming, transaction processing, and customer insights analytics that enable your organisation to act on data as it arrives, not hours or days later.
Compliance & Regulatory Reporting
We build fraud prevention, AML compliance, risk calculation, and regulatory reporting solutions that ensure your data platform meets the most stringent industry requirements.
To a governed, production-ready data platform
Lower run cost vs. legacy on-prem warehouses
Single source of truth across business units
Aligned to Microsoft reference architecture
Where Modern Data Platforms drives value
Migrating off legacy warehouses
Retire on-prem SQL, Teradata, Netezza or Oracle estates in favour of a cloud lakehouse that scales with demand and usage.
Consolidating fragmented data
Replace department-by-department reporting silos with a governed platform where finance, operations and commercial share one semantic layer.
Enabling real-time analytics
Add event streams, KQL databases and Data Activator so the business reacts to what is happening right now, not last month.
Preparing for enterprise AI
Build the clean, governed foundation Copilot, agents and bespoke models need to generate trustworthy answers.
Multi-cloud and hybrid estates
Design a lakehouse that spans Azure, Fabric and Databricks — and integrates cleanly with AWS or GCP sources where needed.
Regulated reporting platforms
Engineer fraud, AML, Solvency II and risk reporting on a platform with immutable history, lineage and role-based access.
A proven delivery approach
- 01 Step
Assess
Review current data estate, workloads, licensing and skills against a Microsoft-aligned target state.
- 02 Step
Architect
Design a reference architecture, governance model and migration approach with clear cost and risk trade-offs.
- 03 Step
Build
Deploy the platform using infrastructure-as-code, wire up governance, and migrate the first priority workloads.
- 04 Step
Scale
Onboard additional domains, optimise capacity and cost, and embed DataOps so the platform keeps improving.
Frequently asked questions
Do we have to choose between Fabric and Databricks?
No. We regularly design hybrid estates where Databricks handles heavy engineering and ML, and Fabric surfaces curated data to Power BI, Copilot and business users. The right split depends on workloads, team skills and commercial model.
How long does a platform build take?
A governed foundation — networking, identity, OneLake / catalog, CI/CD and a first domain — typically takes 8–12 weeks. Full migration off a legacy warehouse usually runs 6–12 months depending on complexity and change appetite.
Can the platform support real-time use cases?
Yes. We implement Fabric Real-Time Intelligence, Event Streams, KQL databases, or Databricks structured streaming — choosing the pattern that best fits latency, volume and downstream consumption.
How do you keep cloud data costs under control?
We baseline capacity, tag every resource, monitor Fabric capacity units and Databricks DBUs, and tune workloads continuously. Clients on Synapx-as-a-Service typically see 20–40% cost reduction in the first six months.
Is this suitable for regulated industries?
Yes. We run data platform programmes for financial services, healthcare and public sector clients with private networking, customer-managed keys, Purview classification, audit logging and evidence trails for regulators.
Can you operate the platform after go-live?
Yes. Synapx-as-a-Service provides 24/7 platform operations, enhancement and cost optimisation by the same UK-based team that built it, so knowledge is retained and improvements continue.
Speak to a Data Specialist
Transform your data into a strategic asset. Let our experts help you build a unified, intelligent data ecosystem.
Speak to a Specialist