Google BigQuery vs Snowflake

Updated November 2026 · AppBreakup editorial

Google BigQuery

Google Cloud's serverless data warehouse for SQL analytics, billed per query or by capacity.

Free plan + paid

Visit Google BigQuery Google BigQuery profile

Snowflake

A fully managed cloud data platform for warehousing, analytics, data sharing and AI workloads.

Paid

Visit Snowflake Snowflake profile

The short answer

Both are managed cloud data warehouses with no servers to run. BigQuery is fully serverless and lives only on Google Cloud, with a free monthly query and storage allowance and pay-per-scan pricing. Snowflake runs on AWS, Azure and Google Cloud, separates compute into per-team warehouses, and adds cross-account data sharing. BigQuery suits Google Cloud and GA4 users; Snowflake suits multi-cloud companies.

Google BigQuery or Snowflake: our take

BigQuery has no clusters or warehouses to size: you load data or point it at files in cloud storage, run standard SQL and Google allocates compute. It includes BigQuery ML for training models in SQL, geospatial functions, streaming inserts and BigQuery Omni for querying data held on AWS or Azure. It is a common choice for marketers because Google Analytics 4 exports straight into it. Snowflake separates storage from compute, so each team can run its own virtual warehouse against the same data without slowing others, and it adds Snowpark for Python and other languages, Time Travel for querying past table versions, secure data sharing, a data marketplace and Cortex AI features.

The pricing models work differently. BigQuery on-demand charges $6.25 per TiB scanned (on-demand), with the first 1 TiB per month of queries and the first 10 GiB per month of storage free, and capacity pricing is available for predictable spend. Queries over wide tables can scan a lot of data and cost more than expected. Snowflake is consumption-based with no free tier: you pay for compute credits and storage, and the Standard, Enterprise and Business Critical editions add features such as multi-cluster compute and stronger compliance controls. Without monitoring of warehouse usage, costs can climb quickly.

Neither has a self-hosted or open-source version. The deciding factor is often where the rest of the data lives: BigQuery runs only on Google Cloud, while Snowflake can sit on whichever of the three major clouds a company uses and share data between accounts.

BigQuery is the easier start for teams on Google Cloud or working with GA4 data, and its free allowance covers small projects. Snowflake is the stronger fit for mid-sized and large companies that want one governed warehouse shared across many teams and clouds, with control over how much compute each team gets.

Choose Google BigQuery if…

Teams on Google Cloud or GA4 who want a warehouse with no servers to manage
You want a free option (Snowflake is paid only)
Fully serverless, with nothing to size or keep running
Monthly free query and storage allowance for small projects

Choose Snowflake if…

Companies that want a managed, governed warehouse shared across many teams and clouds
Little infrastructure or tuning work compared with running your own database
Separate compute warehouses stop teams from slowing each other down

What is Google BigQuery?

BigQuery is Google Cloud's serverless data warehouse. There are no clusters or instances to set up: you load data or point it at files in cloud storage and run standard SQL, and Google allocates compute behind the scenes. It suits teams already on Google Cloud, marketers working with Google Analytics 4 exports, and anyone who wants a warehouse without operations work. It includes built-in machine learning in SQL (BigQuery ML), geospatial functions, streaming inserts, and BigQuery Omni for querying data held on AWS or Azure. Pricing has two compute models: on-demand, where you pay for the bytes each query scans with the first chunk each month free, and capacity pricing for predictable spend; storage is billed separately with a small free allowance. It only runs on Google Cloud, and careless queries over wide tables can scan a lot of data and cost more than expected.

What is Snowflake?

Snowflake is a cloud data warehouse that runs as a managed service on AWS, Azure and Google Cloud. It separates storage from compute, so different teams can run their own virtual warehouses against the same data without slowing each other down, and it handles infrastructure, tuning and encryption for you. Beyond SQL analytics it offers Snowpark for Python and other languages, secure data sharing between accounts, a data marketplace, Time Travel for querying past versions of tables, and a growing set of AI features under the Cortex name. It is aimed at mid-sized and large companies that want one governed place for their analytics data. Pricing is consumption-based: you pay for compute credits and storage, with higher editions (Enterprise, Business Critical) adding features such as multi-cluster compute and stronger compliance controls. There is no self-hosted version, and costs can climb quickly without monitoring of warehouse usage.

Side by side

Attribute	Google BigQuery	Snowflake
Pricing	Free plan + paid	Paid
Open source	No	No
Self-hostable	No	No
Platforms	Web	Web
Best for	Teams on Google Cloud or GA4 who want a warehouse with no servers to manage	Companies that want a managed, governed warehouse shared across many teams and clouds
Status	Active	Active