Problem Statement

Enterprises that run Databricks, Snowflake and Microsoft Fabric in parallel face common challenges like duplicated data, fragmented governance and inconsistent reporting. At the same time, copying datasets across platforms inflates storage costs and reduces trust in analytics. 

Why It Matters

• Cost: TBs of duplicated data increase the storage spend.

• Risk: Different security models create compliance gaps.

• Reliability: No single source of truth leads to conflicting insights.

• Compliance: Limited lineage and inconsistent access controls increase audit exposure.

• Velocity: Analysts lose time integrating data instead of generating value.

What Cloudaeon Delivers

For unifying data platforms, Cloudaeon architects a federated Lakehouse with Microsoft Fabric as the control plane. We standardise structured data into an open Delta format, which enables cross-platform access without duplication. Native Fabric mirroring integrates Snowflake and Databricks, supplemented by custom real-time pipelines where necessary. Microsoft Purview establishes unified cataloguing, lineage and policy enforcement across assets. Fabric semantic models centralise analytics by delivering governed and consistent reporting through a single workspace.

Ideal For

CTOs rationalising multi-platform estates, data platform owners and analytics leaders seeking a single source of truth.

Pain Signals

• “We’re storing the same data in three systems.”

• “Security policies differ across platforms.”

• “Reports don’t reconcile between teams.”

• “Fabric can’t fully mirror our Snowflake objects.”

  
  

Conclusion

A federated Lakehouse transforms fragmented data estates into a governed, cost-efficient analytics foundation, without abandoning existing platform investments.