Pricing comparison
Google BigQuery vs Amazon Redshift
Side-by-side pricing breakdown for Data Warehouse & Analytics Engine decision-makers
Each amount uses its recorded currency; no currency conversion is applied. Confirm billing units, commitments, and current regional terms.
Compare the plan that fits your requirements
Check billing units, included usage and renewal terms. Starting prices alone do not establish an overall winner.
Dataset dated 2026-04-21. Sources: Google BigQuery pricing and Amazon Redshift pricing.
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Recorded starting rates: Google BigQuery Price unavailable; Amazon Redshift Price unavailable. Billing units and commitments can differ. Compare the plans that include your required features, then request quotes for the same quantity and term.
Feature Comparison
| Feature | |  Amazon Redshift |
|---|---|---|
| serverless architecture | No infrastructure management | Not recorded |
| auto scaling | Automatic with on-demand or slots | Not recorded |
| sql standard | ANSI-compliant SQL | Not recorded |
| bigquery ml | In-SQL machine learning | Not recorded |
| gemini integration | Google Gemini in BigQuery | Not recorded |
| iceberg support | Open table format support | Not recorded |
| partition cluster | Reduces scanned data | Not recorded |
| query caching | Cached results free | Not recorded |
| free tier 10 gib storage | First 10 GiB per month free | Not recorded |
| free tier 1 tib query | First 1 TiB scanned per month free | Not recorded |
| batch loading free | Via shared pool | Not recorded |
| data egress free intra region | Within same Google Cloud region | Not recorded |
| aws native integration | Not recorded | S3 + Lambda + Kinesis + QuickSight native |
| ra3 nodes | Not recorded | Recommended - compute and storage billed independently |
| serverless | Not recorded | Auto-scaling RPU-based |
| spectrum | Not recorded | Query S3 data lake without loading |
| materialized views | Not recorded | All editions |
| redshift ml | Not recorded | In-SQL ML via Amazon SageMaker integration |
| concurrency scaling | Not recorded | 1 free hour/day + overage |
| data sharing | Not recorded | Between Redshift accounts |
| federated queries | Not recorded | Query Aurora/RDS directly |
| automated snapshots | Not recorded | Continuous backup to S3 |
| encryption | Not recorded | KMS + HSM support |
| vpc isolation | Not recorded | All deployments |
| aws private link | Not recorded | Available |
| reserved discount | Not recorded | Up to 45% 3-year commit |
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Dive Deeper
Google BigQuery
Amazon Redshift
About the data warehouse & analytics engine category
Warehouse costs depend on workload as well as platform. BigQuery offers scanned-data and capacity pricing; Snowflake uses credits plus storage; Databricks meters different compute products in DBUs; Redshift offers provisioned and serverless compute; Fabric uses capacity SKUs with separate storage and licensing considerations. These units are not interchangeable monthly subscriptions. Compare a defined workload in the same region, including storage, ingestion, transfer and any commitment.
How to choose between data warehouse & analytics engine options
Start with data location, query frequency, concurrency and the engineering work you need. Test representative SQL queries, pipelines and any ML jobs on a realistic dataset. Measure elapsed time and billable usage together rather than comparing a credit, slot-hour, DBU or RPU in isolation. Check identity, governance, recovery and integration requirements against the exact edition and region. Include the cost of moving data and maintaining pipelines in the comparison.
Building Your Business Stack?
Decision-makers comparing tools often need more than one category. Here are related comparisons:
Frequently Asked Questions
- How do Google BigQuery and Amazon Redshift prices compare?
- Google BigQuery: Price unavailable. Amazon Redshift: Price unavailable. These are recorded starting prices; compare billing units, included usage and contract terms before treating them as equivalent costs.
- Which is better for my requirements, Google BigQuery or Amazon Redshift?
- Compare the recorded features and plan limits against your requirements, then confirm them with each vendor. This page does not establish hands-on testing or an overall winner.
- What happens after the first billing term?
- Use any recorded renewal rate as a dated observation. When a future rate is missing, ask the vendor; do not assume the starting price remains unchanged.