Snowflake alternatives: top competitors compared
Named alongside Snowflake
BigQuery87% of Snowflake answersDatabricksBest forData engineering, data science, analytics and AI teams at startups and global enterprises75% of Snowflake answersAWS75% of Snowflake answersAmazon Redshift74% of Snowflake answers
Data from SlateIndex weekly runs
Snowflake has a visibility score of 68.6 in Data Warehouse, #1 of 39. AI answers that name Snowflake most often also name these 4.
What AI answers fault Snowflake for
Unoptimized queries can rack up a surprisingly high bill
Raised in 2 collected answers.
Consumption pricing and credit usage are hard to predict
Raised in 2 collected answers.
Quick reference
| Alternative | Best for | Starting price | Visibility | Key differentiator |
|---|---|---|---|---|
| BigQuery | — | — | 63.6% | Serverless architecture with nothing to size, and storage and compute separated, which reviewers cite as a cost and scale advantage. |
| 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. |
| Amazon Redshift | — | — | 40.5% | — |
Alternative 1
BigQuery vs Snowflake →BigQuery
BigQuery is ranked #2 in Data Warehouse.
Quick facts
- Pricing not available
- 63.6% visibility score · #2 in Data Warehouse
Key features
- BigQuery AI — Lets users train, evaluate and deploy predictive models with SQL.
- BigQuery Graph — Graph-style relationship analysis.
- BigQuery Migration Service — Moves workloads from legacy warehouses to BigQuery.
- BigQuery DataFrames — A Python API for BigQuery.
BigQuery vs Snowflake
| Dimension | BigQuery | Snowflake |
|---|---|---|
| Visibility score | 63.6% | 68.6% |
| Pricing model | — | Usage-based |
| Entry price | — | Contact sales |
| Free plan | — | No |
| Trial | — | — |
Pros
- Serverless, highly scalable data warehouse
- Free tier suited to small teams and light workloads
- Easy to start with low operational overhead
- Built-in ML and AI capabilities
- Strong fit for Google Cloud-centric teams
Cons
- Bills are hard to predict
Alternative 2
Databricks vs Snowflake →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 Snowflake
| Dimension | Databricks | Snowflake |
|---|---|---|
| Visibility score | 46.2% | 68.6% |
| Pricing model | — | Usage-based |
| Entry price | — | Contact sales |
| Free plan | — | No |
| 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 3
AWS vs Snowflake →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 Snowflake
| Dimension | AWS | Snowflake |
|---|---|---|
| Visibility score | 35.7% | 68.6% |
| Pricing model | — | Usage-based |
| Entry price | — | Contact sales |
| Free plan | — | No |
| 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
Alternative 4
Amazon Redshift vs Snowflake →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 Snowflake
| Dimension | Amazon Redshift | Snowflake |
|---|---|---|
| Visibility score | 40.5% | 68.6% |
| Pricing model | — | Usage-based |
| Entry price | — | Contact sales |
| Free plan | — | No |
| 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
How to choose
Match the pricing model to your cost driver: headcount, usage or features.
| Platform | Pricing model | Starting price |
|---|---|---|
| Snowflake | Usage-based | Contact sales |
| BigQuery | — | — |
| Databricks | — | — |
| AWS | — | — |
| Amazon Redshift | — | — |
More alternatives
Ranked by how often AI answers name them alongside Snowflake in the latest weekly run.