Google BigQuery vs Databricks Data Intelligence Platform

Google BigQuery9.4Visit Databricks Data Intelligence Platform9.3Visit

Higher score Google BigQuery #1 in Big Data Analytics Software 9.4/10 Free plan Free plan✓ 0 of 1 features Visit Google Cloud

vs

Databricks Data Intelligence Platform #2 in Big Data Analytics Software 9.3/10 Free plan · 14-day trial Free planFree trial✓ 0 of 1 features Visit Databricks

• Google BigQuery fits best

  Teams wanting serverless cloud SQL analytics

• Databricks Data Intelligence Platform fits best

  Organizations building a lakehouse analytics platform

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Side by side

Feature	Google BigQuery 9.4/10 Visit ↗	Databricks Data Intelligence Platform 9.3/10 Visit ↗
At a glance
Editor score	9.4	9.3
Ranking	#1 in Big Data Analytics Software	#2 in Big Data Analytics Software
Best for	Teams wanting serverless cloud SQL analytics	Organizations building a lakehouse analytics platform
Pricing model	Free	Free plan + paid
Starting price	Free	Free plan · 14-day trial
Free plan	✓	✓
Free trial	—	14 days
Deployment	Cloud	Cloud
Platforms	Web	Web
Support	Docs, Live chat, Phone, Tickets, Community	Docs, Community
Compliance	SOC 2, ISO 27001, HIPAA	GDPR, HIPAA, PCI DSS, SSO/SAML, 2FA
Integrations	10 integrations	8 integrations
Built for	Small business, Mid-market, Enterprise	Mid-market, Enterprise
Features Google BigQuery 0/1 · Databricks Data Intelligence Platform 0/1
Built-in visualization	Not checked yet	Not checked yet
Specs
Deployment	Not checked yet	Not checked yet
Processing model	Not checked yet	Not checked yet
Documented data scale	Not checked yet	Not checked yet
Data source connectors	Not checked yet	Not checked yet
Query languages	Not checked yet	Not checked yet
Our review
Pros	Storage and compute scale independently for SQL analytics. Federated queries and external tables connect to Cloud Storage and other sources. BigQuery ML supports model workflows in SQL, alongside streaming and governance controls.	Combines Delta Lake storage with SQL, Spark, batch, and streaming processing. Includes ETL, workflows, machine learning, and AI/BI capabilities. Unity Catalog provides data and AI governance alongside cloud compliance options.
Cons	Costs can vary by region and operation, with separate storage and ingestion charges. Capacity-based editions add a different pricing model alongside on-demand billing. Cloud deployment may not suit teams seeking a non-cloud warehouse.	Usage-based pricing varies by cloud provider, region, product, and contract. The platform spans many workloads rather than focusing only on SQL analytics. Support channels listed are documentation and community.
Our verdict	Google BigQuery is a fully managed, serverless cloud data warehouse for organizations that need to store, query, and analyze large datasets. It is aimed at data engineering, business intelligence, data science, and real-time analytics… Read the review →	Databricks Data Intelligence Platform brings data engineering, SQL analytics, machine learning, AI applications, and governance into a cloud platform. Its lakehouse approach combines Delta Lake with Apache Spark, SQL warehouses, and… Read the review →

Strengths and trade-offs

• Google BigQuery — where it wins

  • Storage and compute scale independently for SQL analytics.
  • Federated queries and external tables connect to Cloud Storage and other sources.
  • BigQuery ML supports model workflows in SQL, alongside streaming and governance controls.

  Where it doesn't

  • Costs can vary by region and operation, with separate storage and ingestion charges.
  • Capacity-based editions add a different pricing model alongside on-demand billing.
  • Cloud deployment may not suit teams seeking a non-cloud warehouse.

• Databricks Data Intelligence Platform — where it wins

  • Combines Delta Lake storage with SQL, Spark, batch, and streaming processing.
  • Includes ETL, workflows, machine learning, and AI/BI capabilities.
  • Unity Catalog provides data and AI governance alongside cloud compliance options.

  Where it doesn't

  • Usage-based pricing varies by cloud provider, region, product, and contract.
  • The platform spans many workloads rather than focusing only on SQL analytics.
  • Support channels listed are documentation and community.

• Google BigQuery9.4/10 · Free plan

  A flexible SQL analytics warehouse with separate storage and compute and usage-based pricing.

  Visit Google CloudFull verdict →
• Databricks Data Intelligence Platform9.3/10 · Free plan · 14-day trial

  A broad cloud lakehouse platform for SQL, Spark processing, streaming, governance, and AI.

  Visit DatabricksFull verdict →