BigQuery alternatives: top competitors compared
Named alongside BigQuery
SnowflakeBest forEnterprises that run data engineering, analytics and AI on governed enterprise data, including large and highly regulated organizations90% of BigQuery answersAmazon Redshift78% of BigQuery answersDatabricksBest forData engineering, data science, analytics and AI teams at startups and global enterprises74% of BigQuery answersAWS71% of BigQuery answers
Data from SlateIndex weekly runs
BigQuery has a visibility score of 63.6 in Data Warehouse, #2 of 39. AI answers that name BigQuery most often also name these 4.
What AI answers fault BigQuery for
Bills are hard to predict
Raised in 1 collected answer.
Quick reference
| Alternative | Best for | Starting price | Visibility | Key differentiator |
|---|---|---|---|---|
| Snowflake | Enterprises that run data engineering, analytics and AI on governed enterprise data, including large and highly regulated organizations | Contact sales | 68.6% | Agents such as CoWork and CoCo work on governed enterprise data inside Snowflake's security perimeter, reusing existing access controls and catalog context |
| Amazon Redshift | — | — | 40.5% | — |
| Databricks | Data engineering, data science, analytics and AI teams at startups and global enterprises | — | 46.2% | One open lakehouse architecture that unifies data, analytics and AI on Delta Lake and Apache Spark |
| AWS | — | — | 35.7% | Syncs Figma components into generated code and provisions AWS backend services through a visual interface. |
Alternative 1
Snowflake vs BigQuery →Snowflake
Snowflake suits enterprises that run data engineering, analytics and AI on governed enterprise data, including large and highly regulated organizations.
Quick facts
- Contact sales · usage-based
- 68.6% visibility score · #1 in Data Warehouse
Key features
- Snowflake CoWork — Enterprise agent for knowledge workers, formerly Snowflake Intelligence, for analysis, automation and action on governed data.
- Snowflake CoCo — Governed AI coding agent for building data pipelines, analytics, ML models, apps and agents.
- Cortex AI — Services for securely creating and deploying LLMs and ML models customized with your data.
- Openflow — Managed data integration service built on Apache NiFi.
Snowflake vs BigQuery
| Dimension | Snowflake | BigQuery |
|---|---|---|
| Visibility score | 68.6% | 63.6% |
| Pricing model | Usage-based | — |
| Entry price | Contact sales | — |
| Free plan | No | — |
| Trial | — | — |
Pros
- Multi-cloud deployment and secure, governed data sharing
- Decoupled storage and compute architecture
- Free trial with usage credits for easy getting started
- Widely adopted, most popular cloud data warehouse
- Strong for enterprise governance, high concurrency and workload isolation
Cons
- Unoptimized queries can rack up a surprisingly high bill
- Consumption pricing and credit usage are hard to predict
Alternative 2
Amazon Redshift vs BigQuery →Amazon Redshift
Amazon Redshift is ranked #3 in Data Warehouse.
Quick facts
- Pricing not available
- 40.5% visibility score · #3 in Data Warehouse
Key features
- Amazon Redshift Provisioned — Cluster-based deployment where the buyer chooses node types and size; list price starts at $0.543 per hour.
- Amazon Redshift Serverless — Deployment where capacity scales automatically; list price starts at $1.50 per hour.
- Amazon Redshift Spectrum — Lets users query data in Amazon S3 without loading it first.
Amazon Redshift vs BigQuery
| Dimension | Amazon Redshift | BigQuery |
|---|---|---|
| Visibility score | 40.5% | 63.6% |
| Pricing model | — | — |
| Entry price | — | — |
| Free plan | — | — |
| Trial | — | — |
Pros
- Petabyte-scale, fully managed data warehouse service
- Deep integration with AWS services like S3, IAM, and existing AWS operations
- Reserved pricing can cut compute costs substantially for committed use
- Free trial with Redshift Serverless or node-hour allowance
- Widely shortlisted as a leading cloud data warehouse
Cons
- Requires capacity and cost management, and bills can be hard to predict
Alternative 3
Databricks vs BigQuery →Databricks
Databricks suits data engineering, data science, analytics and AI teams at startups and global enterprises.
Quick facts
- Pricing not available
- 46.2% visibility score · #2 in MLOps Platforms
Key features
- Lakebase — Serverless Postgres database integrated with the lakehouse for transactional applications.
- Genie — Conversational analytics interface for natural-language questions and insights.
- Unity Gateway — Governance, cost control, observability and guardrails for enterprise AI access.
- Lakehouse — Serverless data warehousing on open lake data, with governance and AI built in.
Databricks vs BigQuery
| Dimension | Databricks | BigQuery |
|---|---|---|
| Visibility score | 46.2% | 63.6% |
| Pricing model | — | — |
| Entry price | — | — |
| Free plan | — | — |
| Trial | — | — |
Pros
- Lakehouse architecture combining data warehousing with data lake flexibility
- Strong for machine learning, AI, and data engineering workloads
- Top customer satisfaction ratings alongside Snowflake
- Free trial and free Edition for learning
- Discounts for annual prepaid commitments
Cons
- Complex consumption-based pricing with no single fixed price
- Best only when ML, Spark, or Python skills are central to the team
Alternative 4
AWS vs BigQuery →AWS
AWS is ranked #4 in MLOps Platforms.
Quick facts
- Pricing not available
- 35.7% visibility score · #4 in MLOps Platforms
Key features
- Amplify Studio — Visual low-code tool that syncs Figma components, generates JavaScript or TypeScript UI code and provisions AWS backend services.
AWS vs BigQuery
| Dimension | AWS | BigQuery |
|---|---|---|
| Visibility score | 35.7% | 63.6% |
| Pricing model | — | — |
| Entry price | — | — |
| Free plan | — | — |
| Trial | — | — |
Pros
- Core federation and multi-account management included at no extra charge
- Enterprise-grade reliability and uptime on AWS infrastructure
- Pay-as-you-go, usage-based pricing
- Deep integration with the AWS ecosystem and AI tools
- Recognised by analysts such as Gartner and ISG
Cons
- Requires strong AWS engineering or technical expertise
How to choose
Match the pricing model to your cost driver: headcount, usage or features.
| Platform | Pricing model | Starting price |
|---|---|---|
| BigQuery | — | — |
| Snowflake | Usage-based | Contact sales |
| Amazon Redshift | — | — |
| Databricks | — | — |
| AWS | — | — |
More alternatives
Ranked by how often AI answers name them alongside BigQuery in the latest weekly run.