Pyramid Analytics
Amsterdam-headquartered decision intelligence platform combining data prep, analytics and machine learning with no-code governance
Quick Overview
| Company | Pyramid Analytics BV |
|---|---|
| Category | Business Intelligence |
| Headquarters | Amsterdam, Netherlands |
| Founded | 2008 |
| EU Presence | Yes - Netherlands (EU) |
| Data Location | EU cloud, or your own infrastructure |
| Open Source | No |
| GDPR Compliant | Yes |
| Self-Hosting | Yes - on-premise and private cloud |
| Main Features | No-code data prep, direct query to source systems, ML and predictive analytics, natural language queries, governed self-service, on-premise deployment |
| Pricing | Custom pricing by users and deployment |
| Best For | Enterprises needing governed self-service analytics without moving data |
| Replaces | Power BI, Tableau, Qlik, MicroStrategy |
Detailed Review
Pyramid combines three things most organisations buy separately: data preparation, analytics and machine learning, in one governed environment where a business analyst can do all three without code.
It is headquartered in Amsterdam and supports on-premise deployment, which is why it appears in European public sector, healthcare and financial services procurement where Power BI raises jurisdiction questions.
Direct Query Instead of Extraction
Pyramid queries source systems directly rather than requiring data to be copied into a proprietary store. For organisations with governance constraints on data movement — health records, financial data, anything with residency rules — not creating another copy is a substantive advantage.
It supports a wide range of sources including cloud warehouses, relational databases and SAP.
Machine Learning Without Data Scientists
The platform includes no-code model building, so an analyst can construct a forecast or classification model within the same environment as the reporting. The results are not going to match a specialist team's work, but for demand forecasting or churn scoring it puts capability where the domain knowledge is.
Deployment Flexibility
On-premise, private cloud or Pyramid's EU cloud, with the same functionality across all three. For a hospital group or a bank that cannot use a US-parented analytics platform, that combination of capability and deployment control is the reason it makes the shortlist.
Limitations to Consider
Pyramid is enterprise software with quoted pricing and an implementation project. Its visualisation polish trails Tableau, and its ecosystem and community are much smaller than the market leaders', so hiring people who already know it is harder. The breadth also means individual capabilities are good rather than best-in-class.
Who Should Use Pyramid Analytics
European enterprises and public sector organisations that need governed self-service analytics with on-premise deployment and minimal data movement, particularly in regulated sectors.
Pros and Cons
Pros
- Data prep, analytics and ML in one platform
- Direct query avoids copying data
- On-premise, private or EU cloud
- No-code for business analysts
- Dutch headquarters, EU jurisdiction
Cons
- Enterprise pricing and implementation
- Visualisation less polished than Tableau
- Small ecosystem and talent pool
Alternatives to Pyramid Analytics
Other European business intelligence worth comparing before you decide:
Jedox
Germany · Planning, budgeting and BI in one Excel-friendly platform
Board International
Switzerland · Decision-making platform joining BI, planning and simulation
Lightdash
United Kingdom · Open-source BI that builds directly on your dbt models
Luzmo
Belgium · Embedded analytics for SaaS products
See all European business intelligence or compare them directly against Power BI on our alternatives page.
Frequently Asked Questions
No. It queries source systems directly, which avoids creating another copy of regulated data — a meaningful advantage where residency or governance rules constrain data movement.
Yes, the machine learning is no-code and sits in the same environment as reporting. It suits practical forecasting and scoring rather than replacing a specialist data science team.
Yes, on-premise, private cloud or Pyramid's EU cloud, with the same functionality across deployments — which is why it appears in regulated European procurement.
Comparable analytical capability with better deployment flexibility and EU jurisdiction, but a smaller ecosystem and higher cost. Power BI wins on price and ubiquity if jurisdiction is not a concern.