DuckDB vs Google BigQuery

Updated November 2026 · AppBreakup editorial

DuckDB

Free, open-source analytical SQL database that runs in-process, from laptops to large servers.

Open sourceSelf-hostable

Visit DuckDB DuckDB profile

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

The short answer

DuckDB is a free, open-source SQL engine that runs inside your program or notebook on one machine and queries local or cloud files directly. BigQuery is Google Cloud's serverless warehouse, billed by data scanned or capacity. Pick DuckDB for fast local analysis and pipelines with no server or bill; pick BigQuery when data is large, shared across a team, or already lives in Google Cloud and GA4.

DuckDB or Google BigQuery: our take

DuckDB and BigQuery both run analytical SQL, but at different scales and in different places. DuckDB is an in-process database, like SQLite for analytics: you call it from a shell, Python, R, Java, Node.js, Go, Rust and more, and it reads CSV, JSON, Parquet and Iceberg files on disk or in object storage such as S3. BigQuery is a managed warehouse on Google Cloud with no clusters to set up; you load data or point it at cloud storage, and Google allocates compute behind the scenes. It adds BigQuery ML for training models in SQL, geospatial functions, streaming inserts and BigQuery Omni for data on AWS or Azure.

Cost works very differently. DuckDB is free under the MIT licence and governed by the non-profit DuckDB Foundation; you pay only for the machine you run it on. BigQuery's on-demand model charges $6.25 per TiB scanned after the first 1 TiB per month, with the first 10 GiB of storage free and capacity pricing available for predictable spend. Careless queries over wide tables can scan a lot of data and cost more than expected.

The limits differ too. DuckDB is a single-machine engine, not built for many concurrent writers, and has no built-in GUI, so scaling past one host means other tools or a hosted service such as MotherDuck. BigQuery scales without operations work but only runs on Google Cloud, has no self-hosted version and gives less control over performance tuning.

Many teams use both: DuckDB for local exploration, notebooks and pipeline steps, BigQuery as the shared warehouse. If your data fits on one machine or sits in files you already have, start with DuckDB. If you need a central warehouse for a team, native GA4 exports or SQL-based machine learning on Google Cloud, BigQuery is the better fit.

Choose DuckDB if…

Analysts and data engineers who want fast SQL over local or cloud files without running a database server
You want open-source software
You need to host it on your own servers
You need Windows, macOS and Linux, which Google BigQuery doesn't list
Runs in-process with no server to install or manage

Choose Google BigQuery if…

Teams on Google Cloud or GA4 who want a warehouse with no servers to manage
Fully serverless, with nothing to size or keep running
Monthly free query and storage allowance for small projects

What is DuckDB?

DuckDB is an analytical SQL database built to run inside other programs, the way SQLite does for transactional work, rather than as a separate server. You can use it from a command-line shell or from Python, R, Java, Node.js, Go, Rust and other languages, and it queries CSV, JSON, Parquet and Iceberg files directly, either on disk or in object storage such as S3. Its SQL dialect is close to PostgreSQL with extra shortcuts that make ad-hoc analysis quicker to write. Data analysts and engineers use it for local analytics, notebook work, data pipelines and as an engine inside other tools, often instead of loading data into a cloud warehouse. DuckDB is free under the MIT licence and governed by the non-profit DuckDB Foundation; a separate company, MotherDuck, sells a hosted service built on it. It is not designed for many concurrent writers or as the main database behind a busy web app.

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.

Side by side

Attribute	DuckDB	Google BigQuery
Pricing	Open source	Free plan + paid
Open source	Yes	No
Self-hostable	Yes	No
Platforms	Windows, macOS, Linux, Web	Web
Best for	Analysts and data engineers who want fast SQL over local or cloud files without running a database server	Teams on Google Cloud or GA4 who want a warehouse with no servers to manage
Status	Active	Active