Data Warehousing Rule: Price Storage by Access, Not by Volume
How should an agency choose between object storage and a managed warehouse when scoping a client's data platform? Match the storage tier to the access pattern: use flat-rate object storage for infrequently queried data and reserve managed warehouses for hot, interactive workloads.
By InnovaAI ResearchPublished Updated
“How should an agency choose between object storage and a managed warehouse when scoping a client's data platform?”
Match the storage tier to the access pattern: use flat-rate object storage for infrequently queried data and reserve managed warehouses for hot, interactive workloads.
Agencies often default to a single managed warehouse for all client data, paying premium compute costs for cold archival data that could sit in object storage for a fraction of the price, and they miss the opportunity to resell white-label storage as a recurring revenue line.
Object storage services like Wasabi and Storj price by capacity with no egress fees, which can cut storage costs by up to 80% compared to hyperscalers, while Backblaze offers white-label reselling for agencies to package storage as their own product. However, these platforms lack the query engine of a managed warehouse, so agencies must separate the storage layer from the compute layer to avoid paying warehouse prices for data that is rarely touched. This mirrors the broader shift toward cloud-native, distributed architectures noted in the category description, where operational complexity must be weighed against simplicity.
- •Client reporting pulls from multiple source systems and the data volume is growing faster than query demand
- •The engagement involves cold archival data that must be retained for compliance but is rarely queried
- •Agency needs to offer geo-resilient storage without paying hyperscaler egress fees
- •Client is evaluating a managed warehouse but the operational budget for tuning is limited