The verdict in three sentences
A data warehouse for an SME costs 12,000 to 45,000 EUR excl. VAT to set up in 2026, plus 50 to 600 EUR/month of hosting depending on volumes. It centralizes all your data (ERP, CRM, e-commerce, Excel) into a single source of truth via an ELT process. It's the foundation that makes reporting reliable, removes contradictory versions and prepares the ground for BI and AI.
Do you really need a data warehouse
As long as an SME has 2-3 tools, a dashboard can read sources directly. As soon as sources multiply, volumes grow or several teams each have "their" figure, the warehouse becomes necessary: it consolidates, historizes and enforces a single definition of each indicator.
| Solution | Setup cost (EUR excl. VAT) | Hosting /mo | Best for |
|---|---|---|---|
| Managed PostgreSQL | 12,000 - 25,000 | 50 - 250 | Moderate volumes, tight budget |
| Google BigQuery | 15,000 - 35,000 | 100 - 500 (usage-based) | Large volumes, analytics |
| Snowflake | 20,000 - 45,000 | 200 - 600 | Multi-team, scalability |
| DuckDB / lightweight | 8,000 - 18,000 | 30 - 120 | Small SME, getting started |
| ELT tool (Airbyte, Fivetran) | included / 2,000 - 8,000 | 100 - 800 | Standardized connectors |
For most SMEs, a managed PostgreSQL or BigQuery covers the first years' needs without unnecessary overhead.
The recurring costs to anticipate
A warehouse isn't a one-off project: it lives, grows and needs governance. Anticipating recurring costs avoids surprises and keeps the economics healthy.
| Recurring item | Indicative cost 2026 | Frequency |
|---|---|---|
| Warehouse hosting | 50 - 600 EUR | Monthly |
| ELT connectors (SaaS) | 100 - 800 EUR | Monthly |
| Maintenance / enhancements | 10-15% of project | Annual |
| Data governance | 1,500 - 5,000 EUR | Annual (setup + review) |
| New sources added | 1,500 - 4,000 EUR | Per source |
A well-sized SME often stays under 400 EUR/month of recurring costs in the first year, excluding new sources.
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Mini case study
A director of a 30-person e-commerce SME in Lille had 5 data sources (store, ERP, CRM, ads, logistics) and just as many different truths about revenue. We built a BigQuery data warehouse with ELT for 26,000 EUR excl. VAT in 3 months, plus about 280 EUR/month of hosting and connectors. Result: a single source of truth, reconciled reporting and a clean base to plug in BI. Leadership meetings no longer debate figures but decisions; analysis preparation time dropped by about 60%.
FAQ
BigQuery or PostgreSQL? Managed PostgreSQL is enough for moderate volumes and a tight budget (from 50 EUR/month). BigQuery shines on large analytical volumes and usage-based billing. The choice depends on your volumes and cloud stack.
Is a data warehouse the same as BI? No: the warehouse stores and unifies data; BI visualizes it. The warehouse is the foundation, the dashboard is the facade. You can do BI without a warehouse for few sources, but the warehouse makes everything reliable beyond that.
How long to build the warehouse? From 2 to 5 months depending on the number of sources and transformation complexity. A first usable scope (2-3 sources) often arrives in 5-6 weeks.
What exactly is ELT? Extract-Load-Transform: raw data is loaded into the warehouse then transformed inside it. It's more flexible and cheaper to maintain than the old ETL, and it's the 2026 standard.
How do you ensure governance? Through a data dictionary, shared indicator definitions, access rights and quality checks. Budget 1,500 to 5,000 EUR of setup; that's what prevents a return to the chaos of "figures that don't match".
Let's scope your project. Give us your data sources, approximate volumes and your goal (reporting, BI, AI); we'll propose a priced warehouse architecture, setup and recurring included. Detailed quote within 48 h. WhatsApp +221 77 596 93 33.
Mohamed Bah
Fondateur, Kolonell
Passionate about digital and entrepreneurship in Africa, Mohamed has been helping Sénégalese businesses with their digital transformation since 2020. Founder of Kolonell, he believes every SME deserves a professional and accessible online présence.
