Google Cloud Partner
Move your data warehouse off Snowflake and onto Google BigQuery, schema, data, SQL, pipelines and BI connections intact. A fully serverless analytics platform with built-in ML and Gemini, delivered with zero data loss.
Yes, you can migrate from Snowflake to BigQuery. Codimite, a Google Cloud Partner, moves your Snowflake schema, table data, SQL workloads, pipelines and BI connections into Google BigQuery using the BigQuery Migration Service, which automates schema extraction, data transfer and Snowflake-to-GoogleSQL translation. The result is a fully serverless warehouse with no cluster sizing, built-in BigQuery ML and Gemini, migrated with a phased, zero-data-loss cutover. Snowflake-to-BigQuery feasibility is HIGH.
Why migrate
BigQuery removes virtual-warehouse provisioning and resize decisions entirely; you don't pick or pause compute clusters to control spend.
Pay for storage and query compute independently, so cold data costs little and concurrency scales without manual cluster management.
BigQuery ML trains models in SQL, and Gemini-assisted analytics adds natural-language querying and code generation, without exporting data to a separate ML platform.
Stream events directly into BigQuery for real-time analytics alongside batch loads.
On-demand (per-byte-scanned) or flat-rate/capacity pricing lets you match cost to workload pattern.
Tight integration with Looker, Dataflow, Dataform, Vertex AI and Google Workspace data.
What we migrate
| Snowflake object | Migrates to BigQuery | Notes |
|---|---|---|
| Databases & schemas | Datasets & tables | DDL extracted and mapped to GoogleSQL types |
| Table data & history | BigQuery table data | Bulk historical load + incremental sync |
| SQL queries & stored logic | GoogleSQL | Translated via BigQuery Migration Service SQL translator |
| ELT / ETL pipelines | Dataflow / Dataform / partner tools | Re-pointed; dbt models re-targeted to BigQuery |
| BI connections | Looker / Tableau / Power BI on BigQuery | Connectors re-pointed, dashboards revalidated |
| Roles & access | IAM & dataset/column access | Mapped to Google Cloud IAM policies |
SQL fidelity and edge-case function coverage are confirmed during assessment and validated row-by-row.
Our process
We audit your Snowflake account, databases, data volume, SQL workloads, pipelines and BI dependencies, and confirm what's portable.
We extract Snowflake DDL and map databases, schemas and data types to BigQuery datasets and GoogleSQL types.
The BigQuery Migration Service SQL translator converts Snowflake SQL to GoogleSQL; engineers remediate edge cases.
Historical bulk load plus incremental/CDC sync moves data while Snowflake stays live in parallel.
Row counts, checksums and query-result parity confirm BigQuery matches the Snowflake source.
Partitioning, clustering, materialized views and pricing model tuned to cut query cost and latency.
Why Codimite
Data & analytics migrations are a core practice, delivered as a Google Cloud Partner with 85+ Google Certified Specialists: automated migration where it works, expert remediation where it doesn't, and row-by-row proof that BigQuery matches your source.
Get a QuoteGoogle Cloud Partner. Data & analytics migrations are a core practice, with 85+ Google Certified Specialists.
BigQuery Migration Service expertise. We run automated schema, data and SQL translation, then remediate what automation can't.
Data-integrity verification. Reconciliation reports prove row counts and query results match source.
Cost optimization built in. Partitioning, clustering and pricing tuning so BigQuery runs lean from day one.
FAQs
Yes, schema, data, SQL, pipelines and BI connections move into BigQuery via the BigQuery Migration Service. Feasibility is HIGH for Snowflake.
Yes, the BigQuery Migration Service SQL translator converts Snowflake SQL to GoogleSQL (DDL, DML, most functions); engineers remediate edge-case syntax during validation.
No hard downtime. Historical loads plus incremental sync keep Snowflake live in parallel until each workload is validated on BigQuery.
Days for a focused dataset; four to twelve weeks for large enterprise warehouses, driven by data volume, pipeline count and BI dependencies.
Pricing is scoped to data volume, SQL complexity and pipeline count. Start with a free assessment for a fixed quote.
Still comparing platforms? Read Snowflake vs BigQuery: Compared (2026) before you decide.
Codimite, a Google Cloud Partner, migrates your Snowflake schema, data, SQL and pipelines to Google BigQuery with zero data loss, row-by-row validation and post-migration cost optimization. Start with a free quote.
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