Head-to-head · Analytics Data
Google BigQuery vs Databricks SQL Warehouse
Google BigQuery leads on 1 check, Databricks SQL Warehouse on 0, and 0 are even. Who comes out ahead on the 1 yes/no, price and count check where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreGoogle BigQuery · 9.4/10
- Free planonly Google BigQuery
Google BigQuery scores higher on our rubric for analytics data: 9.4 against 9.2 out of 10; our editors rank them #1 and #3.
Google BigQuery offers free plan; Databricks SQL Warehouse doesn't.
Google BigQuery is the better fit for teams wanting serverless cloud analytics and ML. Databricks SQL Warehouse is the better fit for lakehouse teams needing governed SQL analytics.
- Google BigQuery fits best
Teams wanting serverless cloud analytics and ML
- Databricks SQL Warehouse fits best
Lakehouse teams needing governed SQL analytics
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Side by side
| Feature | Google BigQuery 9.4/10 Visit ↗ | Databricks SQL Warehouse 9.2/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.4 | 9.2 |
| Ranking | #1 in Analytics Data | #3 in Analytics Data |
| Best for | Teams wanting serverless cloud analytics and ML | Lakehouse teams needing governed SQL analytics |
| Pricing model | Free | Paid |
| Starting price | Free | — |
| Free plan | ✓ (best) | — |
| Free trial | — | — |
| Deployment | Cloud | Cloud |
| Platforms | Web | Web |
| Support | Docs, Live chat, Phone, Tickets, Community | Community, Docs |
| Compliance | SOC 2, ISO 27001, HIPAA | SOC 2, ISO 27001, GDPR, HIPAA, PCI DSS, SSO/SAML |
| Integrations | 10 integrations | 15 integrations |
| Built for | Small business, Mid-market, Enterprise | Mid-market, Enterprise |
| Features Google BigQuery 0/1 · Databricks SQL Warehouse 0/1 | ||
| Data sharing | Not checked yet | Not checked yet |
| Specs | ||
| Deployment | Not checked yet | Not checked yet |
| Storage architecture | Not checked yet | Not checked yet |
| Query languages | Not checked yet | Not checked yet |
| Included storage | Not checked yet | Not checked yet |
| Cloud options | Not checked yet | Not checked yet |
| Our review | ||
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| Our verdict | Google BigQuery is a fully managed, serverless cloud data warehouse for organizations that store, query, and analyze large datasets. It serves data engineering, business intelligence, data science, real-time analytics, and warehouse… Read the review → |
Databricks SQL Warehouse is a cloud data warehousing service for analysts and data teams querying data in cloud data lakes with SQL. It combines SQL authoring, AI assistance, dashboards, scheduled jobs, alerts, and incremental ETL in the… Read the review → |
Strengths and trade-offs
Google BigQuery — where it wins
- Serverless SQL warehouse with independently scalable storage and compute
- External and federated queries plus streaming ingestion and continuous queries
- BigQuery ML, vector search, embeddings, and generative AI functions
Where it doesn't
- Usage-based query, storage, streaming, and transfer charges require cost planning
- Cloud deployment ties workloads to the Google Cloud environment
- SQL-centric ML may not suit every model-development workflow
Databricks SQL Warehouse — where it wins
- Elastic serverless SQL warehouses with per-second usage billing
- Unity Catalog governance plus Lakehouse Federation for external data
- Dashboards, scheduled SQL jobs, alerts, and incremental ETL
Where it doesn't
- No free plan; usage-based costs can vary with consumption
- No fixed SQL Warehouse entry price is published
- Cloud, region, contract, and workspace tier can affect availability
- Google BigQuery9.4/10 · Free plan
Serverless SQL analytics with separate storage and compute, streaming, and SQL-based ML.
Visit BigQueryFull verdict → - Databricks SQL Warehouse9.2/10 · Paid
Governed SQL analytics with elastic serverless compute, dashboards, and incremental ETL.
Visit DatabricksFull verdict →
More comparisons
All analytics data comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update