3-year cost calculator
Pre-filled for Google BigQuery → DuckDB. Adjust every figure with your own numbers.
Every figure here is an illustrative estimate, not a vendor quote. Defaults are editable starting points compiled from public information; real, binding pricing comes from the vendor or an authorized distributor. See our methodology.
All figures are illustrative and fully editable — adjust the cost-per-TB and migration inputs with your own numbers. Not guaranteed vendor pricing (defaults reviewed May 2026). For a binding quote, use the request form below to reach an authorized distributor or partner.
Quick comparison: Google BigQuery vs DuckDB
Common trade-offs teams weigh when staying on Google BigQuery versus moving to DuckDB. These are general, commonly-reported considerations — not statements of fact about any vendor — so check them against your own contract and the vendors' current terms.
- Already in production — no migration effort or risk
- Mature ecosystem with vendor support and SLAs
- Per-TB-scanned billing penalizes wide queries
- Costs spike with unoptimized queries
- Storage + compute + egress stack up
- Ongoing usage (per tb scanned) cost to budget for
- Open source — no license fees
- No vendor lock-in
- Cost model: Free (open source)
- Requires a migration (~12 weeks, low effort)
- Community support by default — paid support optional
Why teams evaluate alternatives to Google BigQuery
Reasons commonly cited by users and in public industry coverage for re-evaluating Google BigQuery. These are general, reported considerations — not statements of fact about Google — and may not reflect your situation or the vendor's current terms. Verify against your own contract before deciding.
- Per-TB-scanned billing penalizes wide queries
- Costs spike with unoptimized queries
- Storage + compute + egress stack up
The migration plan
Roughly 12 weeks for a mid-size estate, in six phases.
Tooling & automation
Export to open columnar formats (Parquet/Iceberg), load into the new engine, convert SQL dialects, re-point ETL and BI, and parallel-run before decommission.
OffVendor's wizard pre-fills these scripts with your environment — inventory export, disk/schema conversion, bulk provisioning, and validation.
Frequently asked
Is migrating from Google BigQuery to DuckDB worth it?
For most teams facing rising Google BigQuery costs, yes — DuckDB (free (open source)) typically lowers 3-year total cost of ownership, though the right answer depends on workload complexity and in-house skills. Use the calculator to model your own numbers.
How long does a Google BigQuery to DuckDB migration take?
A typical mid-size estimate is around 12 weeks across six phases — discovery, design, pilot, waved production migration, validation, and decommission. Larger or more complex estates take longer.
What tools are used to migrate from Google BigQuery to DuckDB?
Export to open columnar formats (Parquet/Iceberg), load into the new engine, convert SQL dialects, re-point ETL and BI, and parallel-run before decommission.