Google Cloud Partner
Modernize your data warehouse off Teradata and onto Google BigQuery, schema, data, BTEQ/SQL, pipelines and BI connections intact. Replace a capital-heavy on-prem MPP appliance with a fully serverless platform with built-in ML and Gemini, delivered with zero data loss.
Yes, you can migrate from Teradata to BigQuery. Codimite, a Google Cloud Partner, moves your Teradata schema, table data, BTEQ scripts, SQL workloads, pipelines and BI connections into Google BigQuery using the BigQuery Migration Service, which provides a Teradata migration agent for schema and data extraction plus SQL translation. The result is a fully serverless warehouse with no appliance to maintain, built-in BigQuery ML and Gemini, migrated with a phased, zero-data-loss cutover. Teradata-to-BigQuery feasibility is MEDIUM, mature MPP estates and Teradata-specific SQL need careful remediation, which we scope honestly up front.
Why migrate
BigQuery is fully serverless, no on-prem MPP hardware, capacity planning or refresh cycles to fund.
Storage and query compute scale and bill independently, replacing fixed appliance capacity with elastic cloud economics.
Swap capital-heavy hardware and licensing for on-demand or flat-rate cloud pricing.
BigQuery ML trains models in SQL and Gemini-assisted analytics adds natural-language querying, no separate ML platform.
Stream events directly into BigQuery for real-time analytics alongside batch loads.
No appliance tuning, AMP/spool management or capacity firefighting to keep performance up.
What we migrate
| Teradata object | Migrates to BigQuery | Notes |
|---|---|---|
| Databases & tables | Datasets & tables | DDL mapped to GoogleSQL types; primary index to partition/cluster |
| Table data & history | BigQuery table data | Teradata migration agent + incremental sync |
| BTEQ scripts & SQL | GoogleSQL | Translated via Migration Service; Teradata constructs remediated |
| ETL / load pipelines | Dataflow / Dataform / partner tools | Re-built on Google data services |
| BI connections | Looker / Tableau / Power BI on BigQuery | Connectors re-pointed, reports revalidated |
| Roles & access | IAM & dataset/column access | Mapped to Google Cloud IAM policies |
BTEQ fidelity, Teradata-specific SQL coverage and pipeline rework are scoped during assessment and validated row-by-row.
Our process
We audit your Teradata estate, databases, data volume, BTEQ/SQL workloads, pipelines and BI dependencies, and confirm what's portable.
We map Teradata databases and data types to BigQuery datasets and GoogleSQL types, translating primary-index design to partitioning and clustering.
The BigQuery Migration Service translates Teradata SQL and BTEQ logic to GoogleSQL; engineers remediate Teradata-specific constructs.
The Teradata migration agent moves historical data, with incremental sync keeping Teradata live in parallel.
Row counts, checksums and query-result parity confirm BigQuery matches the Teradata 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 legacy-MPP remediation, BTEQ translation, row-by-row integrity proof, and honest wave-by-wave scoping of mature estates.
Get a QuoteGoogle Cloud Partner. Data & analytics migrations are a core practice, with 85+ Google Certified Specialists.
Legacy MPP remediation depth. We translate BTEQ and Teradata-specific SQL and rebuild on-prem load pipelines on Google data services.
Data-integrity verification. Reconciliation reports prove row counts and query results match source.
Honest, phased scoping. Mature estates are migrated wave-by-wave so nothing is over-promised.
FAQs
Yes, schema, data, BTEQ/SQL, pipelines and BI connections move into BigQuery via the BigQuery Migration Service and its Teradata migration agent. Feasibility is MEDIUM for mature MPP estates.
Yes, the BigQuery Migration Service includes a Teradata agent for schema and data extraction, paired with SQL and BTEQ translation.
No hard downtime. Historical loads plus incremental sync keep Teradata live in parallel until each workload is validated on BigQuery.
Mature estates are larger projects, typically eight to twenty weeks, driven by data volume, BTEQ/SQL complexity and BI dependencies.
Pricing is scoped to data volume, SQL/BTEQ complexity and pipeline count. Start with a free assessment for a fixed quote.
Modernizing your analytics stack? Explore our Enterprise Google Migration Services for the full BigQuery and Google Cloud data practice.
Codimite, a Google Cloud Partner, migrates your Teradata schema, data, BTEQ/SQL and pipelines to Google BigQuery with zero data loss, deep legacy-MPP remediation, row-by-row validation and post-migration cost optimization. Start with a free quote.
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