A Sovereign Microsoft Fabric Alternative
Where Microsoft Fabric runs as Azure-only SaaS — with its ontology and semantics hosted inside the Microsoft cloud — Scrydon gives you an organisation-wide business ontology you run yourself: sovereign, on open formats, and not tied to a single hyperscaler.
Your Own Organisation-Wide Ontology
An organisation-wide business ontology you own and run yourself — not a semantic layer hosted inside the Microsoft cloud.
Not Azure-SaaS-Locked
Runs inside your perimeter on open formats, European-native — not Azure-only SaaS on OneLake and the Microsoft ecosystem.
Grounded AI Built In
The same ontology grounds AI agents for accurate, explainable answers — beyond dashboards and Copilot over BI models.
Scrydon is a sovereign alternative to Microsoft Fabric: a first-class, organisation-wide business ontology you run inside your own perimeter. Fabric now offers its own ontology (Fabric IQ), but it is delivered as Azure-only SaaS on OneLake; Scrydon runs on open table formats inside your own perimeter, European-native, from air-gapped on-premises to cloud — so your semantics, data, and deployment are not tied to the Microsoft cloud.
Microsoft Fabric unifies analytics well for Microsoft-centric teams, and whether you use Power BI semantic models or its newer Fabric IQ ontology, the whole suite runs as Azure-only SaaS on OneLake. That ties your data, your modelling, and your residency to a single hyperscaler. Scrydon takes a different path: one first-class business ontology you run inside your own perimeter, on open formats, European-native — so your semantics and sovereignty do not depend on Azure.
Microsoft Fabric Alternative in the Scrydon platform
One integrated, sovereign architecture. Here is where Microsoft Fabric Alternative sits — highlighted against the full stack it works with.
The AI OS for Humans & AI Agents
Ontology & Semantic Layer, one connected model for your data, knowledge & processes
Combining the best of data lakes, data warehouses and search
AI agents, workflows & automations that execute across your systems
Integrate across A2A, MCP, legacy systems and data sources
Secure domain federation, trusted data sharing, and cross-boundary intelligence
Sovereign Foundations
Microsoft Fabric Alternative in depth
Analytics
Data sitting in warehouses and dashboards that nobody reads is data they can't use. The Analytics layer changes that — giving the right people the right information without them having to ask for it. Every metric is anchored to the Cognitive Enterprise ontology, so a revenue figure doesn't arrive in isolation. Data in context — not just in dashboards.
Decision-makers get a live view of the enterprise — financial performance, operational health, procurement status — without waiting for a data team to prepare a report.
- Interactive notebooks: Python and SQL environments with full access to your lakehouse data — no data movement required.
- Visual dashboards: Pre-built, always-current reporting updated automatically as the business moves — no manual refresh, no stale numbers.
- Agent-native analytics: AI agents can query, summarise, and act on insights autonomously — closing the loop between analysis and action.
Cognitive Enterprise
Ontology & Semantic Layer, one connected model for your data, knowledge & processes
Most organisations have data they can't use — not because it doesn't exist, but because nothing connects it. The Cognitive Enterprise layer is the defining intelligence of the AI OS: a living, queryable semantic model of your organisation's entities, processes, and rules. It is the single source of truth that allows every agent, analyst, and workflow to reason about your business with a consistent understanding.
Without it, AI agents reason on noise. With it, they reason on the business.
- Entity graph: Model customers, accounts, orders, products, and any domain concept — then connect them with typed, traversable relationships.
- Process integration: Link real-world workflows to ontology entities so agents understand how data flows through your business.
- Continuous enrichment: Agents automatically enrich ontology nodes with fresh data from the lakehouse, keeping the model current without manual effort.
The Lakehouse is the high-performance data foundation underpinning the Cognitive Enterprise. It is built on StarRocks — a blazing-fast, vectorised MPP query engine delivering sub-second analytics, real-time updates, and high concurrency — and queries open Apache Iceberg tables directly, merging the flexibility of a data lake with the speed of a warehouse under a single, sovereign roof.
- Open Iceberg tables: Query Apache Iceberg and other open table formats directly — your data stays yours, with no proprietary lock-in and no data movement.
- Lightning OLAP: StarRocks' vectorised engine, cost-based optimiser, and materialised views power real-time SQL — from dashboards to agent reasoning — without data duplication.
- Integrated Vector Search: Store and query embeddings alongside traditional data, making the Lakehouse instantly ready for AI workloads.
Shared business meaning, not scattered semantic models
Fabric's semantics historically lived in per-dataset Power BI models, and its newer Fabric IQ ontology runs inside the Microsoft cloud on OneLake. Scrydon models the organisation once in a native ontology — entities, relationships, and definitions shared by every dashboard, report, and AI agent — and keeps it on open formats inside your own perimeter rather than in an Azure-only SaaS estate.
Organisation-wide ontology — Model meaning once across the whole organisation, and run that ontology inside your own perimeter.
Open, sovereign storage — Open table formats inside your own perimeter, with your keys — so you are not tied to an Azure capacity, tenant, and Entra estate.
Consistent metrics — Each metric defined once so reports and agents reconcile, with no conflicting Power BI models.
Grounded AI — Agents reason over the ontology for explainable answers, inside your own perimeter rather than a vendor-hosted cloud.
Sovereignty and shared meaning, not Azure lock-in
Fabric is a strong choice if you are all-in on Azure and Power BI — but that is exactly the constraint: it is Azure-only SaaS, hosted on OneLake, with your semantics and ontology living inside the Microsoft cloud. A sovereign alternative gives you one organisation-wide ontology on open formats inside your own perimeter, European-native, with your keys — so your data, your modelling, and your residency are no longer tied to a single hyperscaler, and the same foundation grounds your AI.
Scrydon vs Microsoft Fabric
Both unify analytics and both offer an ontology. The difference is where it runs: Scrydon's ontology and data sit inside your own perimeter on open formats, versus Fabric hosting yours in Azure-only SaaS on OneLake.
| Capability | Scrydon | Microsoft Fabric |
|---|---|---|
| Primary focus | Ontology-based data unification and trusted insight | Unified SaaS analytics and BI |
| Semantic / ontology layer | Native, first-class organisation-wide business ontology | Power BI semantic models, plus the Fabric IQ ontology (preview) — hosted in the Microsoft cloud |
| Analytics & insights | Analytics anchored to the ontology; consistent metrics everywhere | Deep BI through Power BI |
| Deployment & sovereignty | Sovereign — air-gapped to cloud, European-native, your keys | Azure cloud SaaS only |
| Openness & lock-in | Open formats, your perimeter, your keys | Open formats in OneLake, but locked to an Azure capacity SKU, tenant, and Entra |
| Best fit | Organisations needing a sovereign semantic layer for insight and AI | Microsoft-centric BI teams |
Comparison is Scrydon's summary for orientation. Microsoft, Microsoft Fabric, Power BI, and Azure are trademarks of Microsoft Corporation; capabilities evolve — verify current details with the vendor.
Frequently asked questions
What is the best alternative to Microsoft Fabric?+
How is Scrydon different from Microsoft Fabric?+
Isn't a Power BI semantic model the same as an ontology?+
Is Scrydon more sovereign than Microsoft Fabric?+
Does Scrydon work with AI and Copilot-style assistants?+
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