If you’re all-in on Azure, using only Power BI, and okay with moving everything into OneLake — Fabric works.
If not, it quickly becomes a bottleneck.
With Fabric you are signing up for:
All data must be ingested before use
Limited flexibility for hybrid or multi-cloud environments
Business users depend on pre-modeled dashboards (and Copilot)
Limited support for semantic reasoning or explainability
Significant setup and integration required
For most enterprises, that’s too limiting.
You need a data fabric that works with your stack, supports real self-service, and is AI-ready — without trade-offs.
Live, federated access across OneLake, ADLS, Databricks, Databricks BigQuery, Oracle, and more — no duplication or migration required.
Built-in semantic engine connects lineage, usage, and business meaning — ideal for AI and compliance.
A smart agent experience that supports natural language, APIs, and BI tools — empowering technical and business users alike.
What You Need | Microsoft Fabric | Promethium |
Data Access | Ingest everything into OneLake to make it usable | Query in place, across platforms, where you data lives |
Architecture | Azure-only | Supports multi-cloud architectures (AWS, Azure, GCP), open integration |
Context | Manual modeling via Purview | Live semantic 360° context engine that learns as you go |
Self-Service | Power BI + Copilot dashboards | Full data access via agent, APIs, and connected to all BI tools |
AI Enablement | Add-on layer | Built-in, agent-to-agent orchestration |
Time to Value | Months | Hours |
Promethium customers see:
Faster for data and analytics teams to respond to ad hoc business questions
Increase in productivity for product owners, analysts and data engineers
In business value generated unlocked from insights with new data answers
With Promethium, the trifecta of Access, Context, and Collaboration translates into tangible, daily value for data and analytics teams:
Analysts and engineers get what they need instantly — no pipeline tickets, no delays.
Every result comes with lineage, semantic understanding, and explainability — ready for both humans and AI.
Analysts, engineers, and business users work from the same fabric — faster decisions, fewer silos.
Teams using Promethium answer questions up to 10× faster while freeing data teams to focus on strategic initiatives instead of handling routine service requests.