StackMatch / Compare / Google BigQuery vs Amazon Redshift
Honest Tool Comparison

Google BigQuery vs Amazon Redshift

An honest, context-aware comparison. No affiliate links. No paid placements. Just the data that helps you decide.

For most teams: Google BigQuery edges ahead on our scoring

Google BigQuery

professional
Database & Data Warehousing

Serverless enterprise data warehouse on Google Cloud

Pay-per-query ($5 per TB scanned) or flat-rate

Amazon Redshift

professional
Database & Data Warehousing

AWS cloud data warehouse

Pay-per-use; starts at $0.25/hour per node

Side-by-Side Comparison

Objective metrics, no spin.

N/A
Rating
N/A
professional
Pricing tier
professional
easy✓ Better
Learning curve
medium
1-2 months
Setup time
2-4 months
4 listed✓ Better
Integrations
3 listed
medium, large, enterprise
Best company size
large, enterprise
Top Features
Serverless (no infrastructure)
SQL interface
Built-in ML (BigQuery ML)
BI Engine
Features
Top Features
Columnar storage
Massively parallel processing
SQL interface
AWS integration
Choose Google BigQuery if...

For Google Cloud users, serverless data warehouse needs, or when you want built-in ML capabilities.

Avoid Google BigQuery if...

If not on Google Cloud or need more control over compute (Snowflake better).

Choose Amazon Redshift if...

For AWS-centric organizations needing data warehouse, or when already using AWS services heavily.

Avoid Amazon Redshift if...

If not on AWS (use Snowflake for multi-cloud) or need modern features (Snowflake more advanced).

Shared Integrations (2)

Both tools connect to these — you won't lose workflow continuity whichever you pick.

TableauPower BI

Both suited for: large, enterprise companies

Since both tools target large and enterprise companies, your decision should hinge on the specific use case above rather than company fit. Try the AI Advisor to get a recommendation tailored to your exact stack.

Still not sure? Describe your situation.

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Other Database & Data Warehousing Tools to Consider

If neither is the right fit, these are the next best alternatives in the same category.

Snowflake

enterprise

Cloud data platform for data warehousing and analytics

View profile →

Databricks

enterprise

Unified analytics platform built on Apache Spark

View profile →

PostgreSQL

free

Advanced open-source relational database

View profile →
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