The cost difference between using BigQuery and a self-hosted on-prem data warehousing solution can vary widely depending on a number of factors, such as the amount of data you need to store and process, the complexity of your queries, and the level of resources required to maintain and optimize your solution.

Here are some rough estimates to give you a sense of the potential cost difference between the two options:

BigQuery:

Storage costs: $0.020/GB/month
Query processing costs: $5.00/TB processed
Streaming inserts: $0.01 per 200 MB
Self-hosted on-prem data warehousing solution:

Hardware costs: can range from a few thousand dollars for a small setup to hundreds of thousands of dollars for a large, enterprise-scale deployment
Software costs: can range from open-source solutions that are free to use to commercial solutions that can cost tens or hundreds of thousands of dollars in licensing fees
Ongoing maintenance and support costs: can vary widely depending on the complexity of the setup and the level of expertise required to maintain and optimize the solution
As you can see, the costs of using BigQuery are more predictable and easier to estimate, while the costs of a self-hosted on-prem data warehousing solution can be more variable and dependent on a number of factors. In general, if you have a small to medium-sized dataset and relatively simple query requirements, BigQuery may be the more cost-effective option. However, if you have a large dataset or complex query requirements, a self-hosted on-prem data warehousing solution may be more cost-effective in the long run.
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