Zero-ETL and Data Gravity: Modernizing Your Data Architecture to Reduce Egress Fees
Deep technical cost-saving strategies for data and egress.
Why Egress and Data Movement Cost So Much
Data egress—moving data out of a cloud region or provider—is often one of the largest and most surprising cost lines. Data gravity means the more data you have in a place, the more expensive and slow it becomes to move it. Zero-ETL and modern data architecture attack this by reducing unnecessary movement: keep data where it’s generated or consumed, use managed zero-ETL integrations (e.g., AWS Zero-ETL, Azure Synapse link) so analytics and apps access data in place, and design pipelines so egress is the exception, not the rule. The result is lower cost and faster insights.
Zero-ETL
Query and join data in place—less copy, less egress.
Data Gravity
Design for data locality to avoid expensive moves.
Lower Egress
Fewer bytes out means lower bills and better performance.
Dynotree’s Expertise
We help clients modernize data architecture with zero-ETL patterns and data-gravity-aware design—so you cut egress fees and prove high-level cloud and data expertise.