Google Cloud Partner
Move your data warehouse off Azure Synapse Analytics and onto Google BigQuery, schema, data, SQL, pipelines and BI connections intact. A fully serverless analytics platform with no pool sizing, built-in ML and Gemini, delivered with zero data loss.
Yes, you can migrate from Azure Synapse to BigQuery. Codimite, a Google Cloud Partner, moves your Synapse schema, table data, SQL workloads, pipelines and BI connections into Google BigQuery using the BigQuery Migration Service for schema mapping, data transfer and T-SQL-to-GoogleSQL translation. The result is a fully serverless warehouse with no SQL-pool sizing, built-in BigQuery ML and Gemini, migrated with a phased, zero-data-loss cutover. Synapse-to-BigQuery feasibility is MEDIUM, T-SQL and Azure-native pipelines need more remediation than Snowflake or Redshift, and we scope that honestly up front.
Why migrate
BigQuery removes Synapse's dedicated SQL-pool provisioning and DWU scaling; you don't pause or resize compute to control spend.
Storage and query compute scale and bill independently, so concurrency grows without pool management and cold data stays cheap.
BigQuery ML trains models in SQL and Gemini-assisted analytics adds natural-language querying, no separate ML service or data export.
Stream events directly into BigQuery for real-time analytics.
On-demand (per-byte-scanned) or flat-rate/capacity pricing matches cost to workload.
BigQuery connects to Looker, Tableau, Power BI and open tooling, not just one cloud's BI stack.
What we migrate
| Synapse object | Migrates to BigQuery | Notes |
|---|---|---|
| Schemas & tables | Datasets & tables | DDL mapped to GoogleSQL types; distribution to partition/cluster |
| Table data & history | BigQuery table data | Bulk export (via Cloud Storage) + incremental sync |
| T-SQL queries & procedures | GoogleSQL | Translated via Migration Service; T-SQL edge cases remediated |
| Synapse / ADF pipelines | Dataflow / Dataform / partner tools | Re-built on Google data services |
| BI connections | Power BI / Looker / Tableau on BigQuery | Connectors re-pointed, reports revalidated |
| Roles & access | IAM & dataset/column access | Mapped from Azure AD/RBAC to Google Cloud IAM |
T-SQL fidelity, stored-procedure coverage and pipeline rework are scoped during assessment and validated row-by-row.
Our process
We audit your Synapse workspace, SQL pools, data volume, T-SQL workloads, pipelines and Power BI dependencies, and confirm what's portable.
We map Synapse schemas and data types to BigQuery datasets and GoogleSQL types, translating distribution to partitioning and clustering.
The BigQuery Migration Service translates Synapse T-SQL to GoogleSQL; engineers remediate stored procedures and T-SQL-specific constructs.
Bulk data export plus incremental sync moves data while Synapse stays live in parallel.
Row counts, checksums and query-result parity confirm BigQuery matches the Synapse 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: deep T-SQL remediation, row-by-row integrity proof, and honest wave-by-wave scoping of the MEDIUM-feasibility work nothing automated covers.
Get a QuoteGoogle Cloud Partner. Data & analytics migrations are a core practice, with 85+ Google Certified Specialists.
T-SQL remediation depth. We go beyond automated translation to rebuild stored procedures and Azure-native pipelines on Google data services.
Data-integrity verification. Reconciliation reports prove row counts and query results match source.
Honest, phased scoping. MEDIUM-feasibility work is planned wave-by-wave so nothing is over-promised.
FAQs
Yes, schema, data, SQL, pipelines and BI connections move into BigQuery via the BigQuery Migration Service. Feasibility is MEDIUM because T-SQL and Azure-native pipelines need more rework.
The Migration Service SQL translator handles a large share of T-SQL; stored procedures and T-SQL-specific constructs are remediated by our engineers during validation.
No hard downtime. Historical loads plus incremental sync keep Synapse live in parallel until each workload is validated on BigQuery.
Weeks for a focused dataset; six to fourteen weeks for large Synapse estates, driven by data volume, T-SQL procedure count and Power BI dependencies.
Pricing is scoped to data volume, T-SQL complexity and pipeline count. Start with a free assessment for a fixed quote.
Still comparing platforms? Read Synapse vs BigQuery: Compared (2026) before you decide.
Codimite, a Google Cloud Partner, migrates your Synapse schema, data, T-SQL and pipelines to Google BigQuery with zero data loss, deep T-SQL remediation, row-by-row validation and post-migration cost optimization. Start with a free quote.
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