Estimating the exact cost difference between BigQuery and a self-hosted on-prem data warehousing solution depends on various factors, such as data size, query frequency, storage requirements, and infrastructure costs. However, I can provide you with a rough comparison to give you an idea of the cost implications.

BigQuery:

1. Storage: BigQuery charges for both active and long-term storage. As of September 2021, the price for active storage is $0.020 per GB per month, while long-term storage (inactive data) costs $0.010 per GB per month. Prices may have changed, so please refer to the BigQuery pricing documentation for updated information.

1. Query costs: BigQuery charges for the amount of data processed by each query. As of September 2021, on-demand query pricing is $5 per TB processed, with the first 1 TB per month being free. You can also opt for a flat-rate pricing plan, which provides unlimited query processing for a fixed monthly cost.

1. Additional costs: Data egress, streaming inserts, and BigQuery ML (if used) can also add to the overall cost.

Self-hosted on-prem data warehousing solution:

1. Hardware: Initial investment in servers, storage devices, and networking equipment. This cost varies greatly depending on the scale and type of hardware you choose. For a small to medium-sized organization, this could range from a few thousand to tens of thousands of dollars.

1. Software licenses: Depending on the data warehousing solution you choose, you may need to pay for software licenses or subscriptions, which can vary from a few hundred to several thousand dollars per year.

1. Infrastructure: Costs related to power, cooling, and physical space for your hardware.

1. Maintenance and support: Ongoing costs for hardware maintenance, software updates, and potential hardware replacements. Also, consider the costs of employing IT professionals to manage and maintain the data warehouse.

Due to the many variables involved, it's challenging to provide a specific cost estimate for the two options. For some organizations, BigQuery's pay-as-you-go model may be more cost-effective, particularly if you have a smaller dataset and fewer queries. In contrast, larger organizations with extensive data processing needs may find that a self-hosted on-prem data warehousing solution offers better cost control over the long term, despite the initial investment in hardware and infrastructure. It is essential to carefully analyze your specific use case, dataset size, query frequency, and long-term requirements to determine the most cost-effective solution for your organization.
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