Amazon RedshiftvsGoogle BigQuery
Unbiased side-by-side comparison of verified reviews, user ratings, features, and pros/cons to help you decide which software fits your business needs.
Quick answer: Amazon Redshift vs Google BigQuery
In our 2026 comparison of Amazon Redshift and Google BigQuery, the products are too closely matched to name a clear overall winner. Amazon Redshift is rated 4.5/5 from 4 user reviews; Google BigQuery is rated 4.5/5 from 4 user reviews. Amazon Redshift starts at $0.25/month; Google BigQuery has a free plan.
Last updated
| At a glance | Amazon Redshift | Google BigQuery |
|---|---|---|
| Category | Database Management | Database Management |
| User rating | 4.5/5 (4 reviews) | 4.5/5 (4 reviews) |
| Starting price | $0.25/mo | Free plan |
| Listed features | 15 | 17 |
| Integrations | 9 | 7 |
| Platforms | Web, Windows, macOS, Linux | Web |
| Ease of use | 4.2/5 | 4.6/5 |
| Customer support | 4.4/5 | 4.5/5 |
Amazon Redshift
Starting Price
Usage-based pricing; Provisioned clusters from ~$0.25/hour; Serverless from ~$1.50/hour; Reserved discounts available
Community Pulse
Advanced Ratings
Pros
- Highly scalable for large datasets;Strong AWS ecosystem integration;Competitive pricing at scale;Serverless flexibility;Excellent performance for analytics workloads
Cons
- Complex pricing model;Can become expensive for smaller teams;Requires AWS expertise;Concurrency limitations in some workloads;Steeper setup for advanced optimization
Google BigQuery
Starting Price
Usage-based pricing
Community Pulse
Advanced Ratings
Pros
- Fast and scalable analytics
Cons
- Can become costly with heavy queries
Product Overview
What each platform does and who it's for
Primary Category
The main classification for each product
Editorial Quality Rating
Independent expert panel ratings and quality validations
Amazon Redshift
Expert Score
Google BigQuery
Expert Score
Integration Ecosystem
Compare supported third-party apps and services
Amazon Redshift Integrations
Google BigQuery Integrations
Platform Support
Supported platforms across each product
Amazon Redshift
Google BigQuery
Sentiment & Feedback
Real-world pros and cons from verified users
Amazon Redshift Feedback
User sentiment analysis
- Highly scalable for large datasets;Strong AWS ecosystem integration;Competitive pricing at scale;Serverless flexibility;Excellent performance for analytics workloads
- Complex pricing model;Can become expensive for smaller teams;Requires AWS expertise;Concurrency limitations in some workloads;Steeper setup for advanced optimization
Google BigQuery Feedback
User sentiment analysis
- Fast and scalable analytics
- Can become costly with heavy queries
Feature Comparison
Detailed side-by-side capability checklist
Amazon Redshift
15/28 features
- AWS console integration
- Database integration
- ML integration
- Columnar storage
- Database management
- Databases
- Massively parallel processing
- Query compilation
- Scalable
- Developer tools
- Machine learning modeling
- Parallel Processing
- Real-time analytics streaming
- Secure sharing
- Security
- Serverless;Scalable;ML integration
- Machine Learning
- Analytics
- Data Warehousing
- ETL Capabilities
- Real-time Analytics
- SQL Query Editor
- Auto-scaling Cloud Infrastructure
- Database as a Service (DBaaS)
- Serverless
- Serverless SQL
- Storage
- Automated Backups
Google BigQuery
17/28 features
- AWS console integration
- Database integration
- ML integration
- Columnar storage
- Database management
- Databases
- Massively parallel processing
- Query compilation
- Scalable
- Developer tools
- Machine learning modeling
- Parallel Processing
- Real-time analytics streaming
- Secure sharing
- Security
- Serverless;Scalable;ML integration
- Machine Learning
- Analytics
- Data Warehousing
- ETL Capabilities
- Real-time Analytics
- SQL Query Editor
- Auto-scaling Cloud Infrastructure
- Database as a Service (DBaaS)
- Serverless
- Serverless SQL
- Storage
- Automated Backups
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Pricing & Plans
Compare plans, features, and starting points side-by-side
Amazon Redshift Pricing
Google BigQuery Pricing
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Community Intelligence
Real-time crowdsourced comparison feedback and buyer signals.
Community Matchup Voting
Real-time crowdsourced buyer signals
Community vs. Editorial Alignment
Agreement between algorithmic rating & user voting
Draw
Calculated by features, pricing, support & ratings.
Awaiting Votes
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Head-to-Head Winner Analysis
Data-backed performance comparisons across pricing, features, usability, and support
Matchup Scoreboard
At-a-glance scorecard results
Weighted Overall Scorecard
Normalized composite performance scores
Smart Recommendation Matrix
Head-to-head decision matrix based on your business workflow
- Teams looking for native integration with core workflow tools
- Teams needing broad multi-platform accessibility across desktop, mobile, and web
- Teams seeking a zero-cost or freemium entry tier for Google BigQuery
- Teams prioritizing intuitive, zero-learning-curve UX and fast onboarding
- Teams looking for native integration with core workflow tools
Amazon Redshift
Dimension scorecard
Multi-Dimension Performance
Winner Breakdown & Analysis
Tied for overall winner with a composite score of 83%.
Pricing: $0.25/mo (No Free Trial), a less accessible entry point than the leader.
Offers 15 features (fewer than the category leader).
Satisfactory usability with a user rating of 4.2/5 stars.
Reliable support with a user rating of 4.4/5 stars.
Widest platform availability (4 Platforms: Web, Windows, macOS, Linux).
Google BigQuery
Dimension scorecard
Multi-Dimension Performance
Winner Breakdown & Analysis
Tied for overall winner with a composite score of 85%.
Google BigQuery has the most accessible pricing ($0/mo (No Free Trial)).
Google BigQuery lists the most features (17 features).
Ranked #1 for usability with a user rating of 4.6/5 stars.
Reliable support with a user rating of 4.5/5 stars.
Available on 1 Platform: Web, fewer than the leader.
⚖️ Virtually Tied
Google BigQuery and Amazon Redshift are extremely well-matched overall. If Ease of Use is your priority, Google BigQuery has the edge — otherwise, your specific workflow requirements should be the deciding factor.
Composite Score Breakdown
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Frequently asked questions: Amazon Redshift vs Google BigQuery
Which is better: Amazon Redshift or Google BigQuery?
Google BigQuery and Amazon Redshift are extremely well-matched overall. If Ease of Use is your priority, Google BigQuery has the edge — otherwise, your specific workflow requirements should be the deciding factor. Neither product has a decisive overall lead, so the best choice depends on your workflow, budget and required integrations.
How do users rate Amazon Redshift and Google BigQuery?
Amazon Redshift is rated 4.5/5 from 4 user reviews. Google BigQuery is rated 4.5/5 from 4 user reviews. Ratings come from approved user reviews on SoftwareHope.
How much do Amazon Redshift and Google BigQuery cost?
Amazon Redshift starts at $0.25/month. Google BigQuery has a free plan. Always confirm current pricing on the vendor's site, as plans change.
Do Amazon Redshift and Google BigQuery offer a free plan or free trial?
Amazon Redshift does not list a free plan or trial; Google BigQuery offers a free plan.
Which platforms do Amazon Redshift and Google BigQuery support?
Amazon Redshift supports Web, Windows, macOS and Linux; Google BigQuery supports Web.
Which is easier to use, Amazon Redshift or Google BigQuery?
Amazon Redshift has an ease-of-use rating of 4.2/5, Google BigQuery has an ease-of-use rating of 4.6/5. Google BigQuery is rated easier to use by reviewers.
Most Helpful Reviews
Community-voted helpful feedback from verified users
Amazon Redshift provides a straightforward, dependable solution that integrated smoothly into our operational stack. Uptime is consistent and user adoption across the team was immediate.
We have been using Amazon Redshift across our departments and appreciate the simplicity and stability of the system. It handles core workflows without unnecessary bloat.
The platform has streamlined our daily operations, providing reliable tools and responsive support. Configuration was quick and the feature set aligns well with our requirements.
A well-built tool that delivers consistent value. The interface is clean, performance is snappy, and our operational workflows run smoothly.
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