3-year cost calculator
Pre-filled for Snowflake → Google BigQuery. 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: Snowflake vs Google BigQuery
Common trade-offs teams weigh when staying on Snowflake versus moving to Google BigQuery. 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
- Credit-based pricing is hard to forecast
- Compute and storage are billed separately and add up
- Egress and feature add-ons increase spend
- Lock-in to Snowflake SQL and its ecosystem
- Ongoing usage-based credits cost to budget for
- Higher vendor lock-in to weigh
- Commercial option with vendor support and SLAs
- Cost model: Usage (per TB scanned)
- Requires a migration (~18 weeks, high effort)
- Usage (per TB scanned) cost
- Higher operational learning curve
Why teams evaluate alternatives to Snowflake
Reasons commonly cited by users and in public industry coverage for re-evaluating Snowflake. These are general, reported considerations — not statements of fact about Snowflake — and may not reflect your situation or the vendor's current terms. Verify against your own contract before deciding.
- Credit-based pricing is hard to forecast
- Compute and storage are billed separately and add up
- Egress and feature add-ons increase spend
- Lock-in to Snowflake SQL and its ecosystem
The migration plan
Roughly 18 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 Snowflake to Google BigQuery worth it?
For most teams facing rising Snowflake costs, yes — Google BigQuery (usage (per tb scanned)) 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 Snowflake to Google BigQuery migration take?
A typical mid-size estimate is around 18 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 Snowflake to Google BigQuery?
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.