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# Mercedes-Benz Cloud Egress Costs Cut 66% via Data Mesh
- URL: https://bytevyte.com/mercedes-benz-cloud-egress-costs-cut-66-via-data-mesh/
- Published: 2026-04-20T12:30:27.000Z
- Updated: 2026-07-23T14:37:01.000Z
- Description: Mercedes-Benz reduced Mercedes-Benz cloud egress costs by 66% using a Databricks data mesh to sync 60 TB of data across AWS and Azure.
- Author: Bytevyte Editorial
- Tags: ai-beats

**Mercedes-Benz** reduced **Mercedes-Benz cloud egress costs** by 66% through the implementation of a cross-cloud data mesh. The project synchronized 60 terabytes of data between **Amazon Web Services (AWS)** and **Microsoft Azure** to optimize global after-sales operations. According to project reports from Databricks, this architecture addresses the financial challenges of managing datasets across fragmented cloud environments.

## Technical Architecture and Data Synchronization

The system utilizes **Delta Sharing** and **Delta Deep Clone** to facilitate local replication and secure data exchange. By deploying these tools alongside **Unity Catalog**, Mercedes-Benz improved data freshness from weekly updates to a refresh rate of every second day. The company also developed a proprietary "Dynamic Data eXchange (DDX) Orchestrator" to provide self-service automation for internal teams.

## Projected Savings and Multi-Cloud Strategy

The initial rollout covered 10 data products. Mercedes-Benz projects that expanding the solution to 50 use cases will eventually lower **Mercedes-Benz cloud egress costs** by up to 93%. This architecture allows the manufacturer to maintain a multi-cloud strategy without the "data gravity" penalties typically associated with moving information between providers. Industry reports indicate that egress fees remain a primary obstacle for large enterprises. By adopting a data mesh, the company distributes data products locally within specific regions, minimizing expensive cross-network transfers while maintaining unified governance.

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