Your data infrastructure — storage, pipelines, reporting, security — designed and delivered as one accountable engagement. Cloud or on your own hardware, whichever fits your cost model, your compliance needs and the size of your business.
A complete solution that ingests your data from every source, stores it reliably, transforms it into something usable, and delivers it to the people and systems that need it — with reporting, dashboards and analytics on top.
Cloud (licensed): managed platforms like Azure, AWS or GCP — with Databricks, Snowflake or Fabric — fast, scalable, subscription-based.
On-prem (client-owned): your servers, your licenses, your data — SQL Server, PostgreSQL or equivalent — a one-off investment with no monthly cloud bill.
Both paths deliver a modern data platform. The choice comes down to cost model, data sensitivity, workload profile and how much control you want to keep in-house.
| Cloud & Licensed | On-Prem & Client-Owned | |
|---|---|---|
| Upfront cost | Low — subscription starts small | Higher — hardware + licenses |
| Ongoing cost | Recurring monthly, scales with usage | Predictable, mostly fixed |
| Best for | Large or spiky workloads, fast growth | Stable mid-size workloads, sensitive data |
| Scalability | Elastic — pay only for what you use | Scales in steps as you buy more hardware |
| Data control | In vendor cloud region | 100% in your own building or data center |
| Compliance | Depends on region & vendor | Full control — GDPR, sector-specific |
| Skills needed to run | Cloud engineering + FinOps | SQL DBA + traditional IT ops |
| Typical example | Databricks, Snowflake, Fabric on Azure | SQL Server + SSIS + Power BI on a client server |
For a lot of the mid-size companies we work with, a well-built on-prem SQL Server stack beats cloud on cost, control and simplicity — and it scales far further than most people expect.
A modern SQL Server on decent hardware handles billions of rows without breaking a sweat.
Encryption at rest and in transit, AD-integrated auth, row-level security — all built-in.
Power BI, SSRS and Excel all connect directly — no extra integration layer needed.
We built a working demo that shows what a real client-facing analytics experience looks like on top of the kind of stack we deliver.