Learn about the two pricing models for BigQuery query costs—on-demand and flat-rate. Discover how these models can optimize your data analytics expenses on Google Cloud Platform.
Answer: What Are the Two Pricing Models for BigQuery Query Costs?
Table of Contents
Question
What are the two pricing models for for BigQuery query costs?
A. On-demand and flat rate
B. High volume and low volume
C. Active and long term
D. Monthly and yearly
Answer
A. On-demand and flat rate
Explanation
On-Demand Pricing
- Charges are based on the volume of data processed by each query, measured in terabytes (TiB).
- Ideal for variable workloads where query frequency and data volume fluctuate.
- The first 1 TiB of data processed per month is free, making it cost-effective for smaller or infrequent queries.
Flat-Rate Pricing
- Users purchase dedicated compute capacity in the form of “slots” (virtual CPUs) for a fixed cost.
- Suitable for organizations with consistent and high-volume query workloads.
- Offers predictable costs and potential discounts through one-year or three-year commitments.
Both models allow flexibility depending on workload patterns, helping organizations manage costs effectively while meeting their data processing needs.
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