HomeDWH, Big Data & AI
01 · Service Area

Data architecture
without vendor bias

Independent evaluation and selection of enterprise data platforms for fintech companies, banks and growth-stage tech businesses navigating Snowflake vs Databricks, cloud vs on-prem and AI readiness.

Decision Canvas

From options overload
to a clear technical path.

This page is intentionally more “systemic” than the rest of the site. For DWH and AI, the visual language should feel structured, analytical and architecture-led.

Pain Points We Address

Questions
we answer every week

01
Snowflake vs Databricks vs BigQuery
You need an objective comparison based on workload, cost model and regulatory environment.
02
Cloud vs On-Premise
You need an architecture that satisfies data residency requirements without overbuilding expensive infrastructure.
03
AI Readiness of Your Platform
You need to know whether your current data foundation can realistically support AI initiatives.
04
Real-Time AML & Fraud Analytics
Your current stack cannot support sub-second decisioning, but the business and regulators need it.
05
Data Governance & Explainability
You need lineage, governance and explainability without sacrificing engineering velocity.
06
Nearshore Data Engineering Partner
You need a reliable partner and a due diligence model that separates signal from sales talk.
What We Do

Our advisory scope

Architecture Selection
Independent evaluation of DWH and lakehouse platforms against workload, cost model and latency requirements.
Vendor Evaluation & RFP Support
We build evaluation criteria, score vendors and facilitate RFP processes without referral fees.
AI & ML Readiness Assessment
Audit of your current data infrastructure and a prioritised roadmap toward AI readiness.
Regulatory Data Architecture
Design of architectures satisfying CBUAE, MAS, HKMA, DORA and GDPR constraints.
Who We Work With

Target clients

CTO / Chief Architect
Fintech, Neobank, Digital Bank
CDO / Head of Data
Financial Institution, Insurance
CEO / Co-Founder
Series A–C Tech Company
Transformation Lead
Traditional Bank, PSP

Ready to choose the right data platform?

30-minute discovery call — we'll tell you what we know about your specific situation before any engagement begins.