Google BigQuery vs MotherDuck: Which is Better in 2026?
Google BigQuery and MotherDuck are both Cloud Data Warehouses tools, made for different people. Google BigQuery is for teams on Google Cloud, or anyone who wants a warehouse with nothing to size and a monthly free allowance. MotherDuck is for startups and small data teams whose data fits comfortably on DuckDB and who want a cheap shared warehouse.
Quick verdict
There’s no single winner; pick on your constraint. Choose Google BigQuery if you want to start paying nothing and scale per query. Choose MotherDuck if you already use DuckDB locally and want the same SQL in a shared cloud warehouse.
Google BigQuery vs MotherDuck: Side by Side
| Google BigQuery | MotherDuck | |
|---|---|---|
| Category | Cloud Data Warehouses | Cloud Data Warehouses |
| What it is | Serverless cloud data warehouse | Serverless DuckDB warehouse |
| How you pay | Per TiB scanned, or per slot-hour | Plan fee plus compute and storage usage |
| Free access | 1 TiB queries and 10 GiB storage free a month | Free Lite plan, 10 GB storage |
| Clouds | Google Cloud (Omni reaches AWS and Azure) | AWS (six regions) |
| How compute scales | Automatic; no clusters | Per-query Pulse compute or dedicated instances |
| Pricing | Free · paid from $6.25/mo | Free · paid from $250/mo |
| Starting price | Free tier available | Free tier available |
| Free tier | ||
| Rating | 4.6 | 4.5 |
| Best for | Cloud Data Warehouses: serverless, pay per query, Google Cloud | Cloud Data Warehouses: DuckDB, startups, free plan |
Ratings are App Stack Builder’s editorial score out of 5, not an average of user reviews.
Pros & Cons
- Nothing to provision
- Monthly free tier for queries and storage
- Per-query pricing suits spiky workloads
- Tight Google Cloud integration
- A careless SELECT * scans and bills a whole table
- Google Cloud only
- Capacity pricing takes planning
- Free plan with real storage
- Same DuckDB SQL locally and in the cloud
- Per-query Pulse billing for small workloads
- Published rates
- Built for small to mid-size data, not petabytes
- AWS regions only
- Younger ecosystem than the big warehouses
Key Features Compared
Google BigQuery
- On-demand: $6.25 per TiB processed; the first 1 TiB each month is free
- First 10 GiB of active and long-term logical storage free each month
- Capacity pricing per slot-hour in Standard, Enterprise and Enterprise Plus editions
- One and three-year slot commitments on Enterprise and Enterprise Plus
- BigQuery Omni on AWS and Azure regions at $9.125 per TiB on demand
MotherDuck
- Lite: free for up to 3 users, 10 GB storage and 10 hours of Pulse compute a month, no card
- Business: $250 per organization a month plus usage; up to 10 users, read replicas, 99.9% SLA
- Pulse compute $0.60 per CU-hour; dedicated instances from $2.40 to $24.00 an hour, billed per second
- Storage $0.04 per GB-month on Lite and Business
- 7-day Business trial with no card
Choose Google BigQuery if…
- Budget is tight: paid plans start lower ($6.25/mo vs $250/mo).
- You want to start paying nothing and scale per query.
- Your workloads are spiky, so a per-TiB bill suits you better than always-on compute.
- Your data already sits in Google Cloud.
Choose MotherDuck if…
- You already use DuckDB locally and want the same SQL in a shared cloud warehouse.
- Your team is small and wants a free plan that holds real data.
- You prefer a bill you can read line by line.
Frequently Asked Questions
Is Google BigQuery better than MotherDuck?⌄
There’s no single winner; pick on your constraint. Choose Google BigQuery if you want to start paying nothing and scale per query. Choose MotherDuck if you already use DuckDB locally and want the same SQL in a shared cloud warehouse.
What is the difference between Google BigQuery and MotherDuck?⌄
What it is. Google BigQuery: Serverless cloud data warehouse. MotherDuck: Serverless DuckDB warehouse. How you pay. Google BigQuery: Per TiB scanned, or per slot-hour. MotherDuck: Plan fee plus compute and storage usage. Free access. Google BigQuery: 1 TiB queries and 10 GiB storage free a month. MotherDuck: Free Lite plan, 10 GB storage. Clouds. Google BigQuery: Google Cloud (Omni reaches AWS and Azure). MotherDuck: AWS (six regions). How compute scales. Google BigQuery: Automatic; no clusters. MotherDuck: Per-query Pulse compute or dedicated instances.
Google BigQuery vs MotherDuck: which is cheaper?⌄
Google BigQuery pricing: Free · paid from $6.25/mo. MotherDuck pricing: Free · paid from $250/mo. Confirm current pricing on each tool's official site, as plans change.
Which is rated higher, Google BigQuery or MotherDuck?⌄
On our editorial score, Google BigQuery is 4.6 out of 5 and MotherDuck is 4.5 out of 5, so Google BigQuery is slightly ahead. This is our own score, not an average of user reviews.
When should I skip both Google BigQuery and MotherDuck?⌄
Skip Google BigQuery if your queries scan large tables all day. Fixed compute on Snowflake or Redshift can cost less. Skip MotherDuck if you are heading for petabytes and many concurrent teams. Snowflake or BigQuery handle that scale.
Sources · tool facts checked November 2026
See more options in our guide to the best cloud data warehouses tools for startups.
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