BigQuery vs Redshift Pricing (2026)

Google BigQuery vs Amazon Redshift

Data Warehousing pricing comparison · 2026

Google BigQuery pricing ranges from $0–$312.5/month, while Amazon Redshift ranges from $0.543–$1.5/month. Amazon Redshift is typically 9% more affordable, though your actual cost depends on tier and team size.

Data Warehousing

Google BigQuery

$0–$312.5
/month
3 plans · Free tier
Full pricing breakdown →
VS
Data Warehousing

Amazon Redshift

$0.543–$1.5
/month
3 plans
Full pricing breakdown →

Google BigQuery and Amazon Redshift represent the flagship data warehouse offerings of the two largest cloud providers. BigQuery is fully serverless with no infrastructure to manage; Redshift offers both serverless and provisioned options. Pricing models differ: BigQuery charges $6.25/TB scanned on-demand or flat-rate capacity slots, while Redshift Serverless costs $0.375/RPU-hour and provisioned nodes run $0.26–$1.08/node-hour.

Plan-by-Plan Pricing

Plan Google BigQuery Amazon Redshift
Free Tier (Sandbox) Free /month Custom
On-Demand Custom Custom
Capacity (Editions) Custom Custom

Cost at Scale

Total cost of ownership — licenses, implementation, and hidden costs included.

Google BigQuery

4 scenarios
$0/month (within free tier)
Small Team / Free Tier
$500
Growing Analytics Team
$2,000/month
$5,000
Enterprise Data Platform
$30,000/month
See all 4 scenarios →

Amazon Redshift

4 scenarios
$365
Startup / Dev Environment
$500/month
$2,500
Mid-Size Production Cluster
$5,000/month
$15,000
Enterprise Data Warehouse
$50,000/month
See all 4 scenarios →

Our Verdict

Choose Google BigQuery if your organization is on Google Cloud, needs true zero-infrastructure management, or runs large ad-hoc queries that benefit from BigQuery's columnar engine. The free 1 TB/month query tier is excellent for exploration.

Choose Amazon Redshift if your data stack is built on AWS, you need tight integration with S3, Glue, and SageMaker, or you run predictable, high-concurrency workloads where provisioned clusters provide cost stability.

Frequently Asked Questions

01 Which is cheaper for petabyte-scale analytics: BigQuery or Redshift?

At petabyte scale, both are comparable but architecturally different. BigQuery capacity pricing (flat-rate slots) and Redshift provisioned clusters can be similarly priced for high-volume workloads. BigQuery's per-TB scan model can be expensive for full-table scans without query optimization.

02 Does BigQuery or Redshift integrate better with BI tools?

Both integrate well with major BI tools like Tableau, Looker, and Power BI. BigQuery has native Looker integration (both owned by Google). Redshift integrates natively with Amazon QuickSight. For third-party BI tools, both are well-supported.