MIGRATE TO BIGQUERY
Move to BigQuery from the platform you’re on today.
Datachecks combines specialized AI agents with migration experts to move Oracle, Teradata, and SQL Server estates onto BigQuery — automating assessment, table design, SQL translation, validation, and reconciliation.
Supported objects and automation depth vary by source, target, and migration scope.
THE TARGET SIDE
Landing on BigQuery is its own set of decisions.
These apply whichever platform you are migrating from. They are decided once, for the target architecture, rather than per source object.
PRICING MODEL
You pay per byte scanned
There is no cluster to size. Cost tracks how much data each query touches, which makes table design and partitioning a budget decision rather than a tuning exercise.
PHYSICAL DESIGN
Partitioning and clustering replace indexes
BigQuery has no indexes. Query performance comes from partition pruning and clustering order, chosen against real access patterns rather than inherited from the source.
DATA MODEL
Nested fields or joins
STRUCT and ARRAY can collapse one-to-many relationships into a single table. Copying source joins works, but often scans more than a remodelled equivalent.
INTEGRITY
Constraints are informational
Primary and foreign keys are not enforced. Anything that relied on the database rejecting bad rows has to move into ingestion or validation.
GOVERNANCE
Datasets, regions and authorized views
Dataset location is fixed at creation and access is granted through authorized views and IAM. The namespace design is hard to unpick once workloads depend on it.
AFTER CUTOVER
Cost controls from day one
Reservations, custom quotas and per-query attribution should exist before the first production workload lands, not after the first invoice.
SOURCE PLATFORMS
Where are you migrating from?
THE MIGRATION LIFECYCLE
One controlled workflow across every migration.
UNDERSTAND → MAP → TRANSLATE → VALIDATE
Understand
Inventory the estate, profile data, identify dependencies, and assess complexity.
10,428 objects
Map
Generate source-to-target mappings, transformations, confidence, and exceptions.
97% mapping confidence
Translate
Convert SQL, procedures, and transformation logic for the target platform.
PL/SQL → target SQL
Validate
Test migrated outputs, reconcile source and target, and surface exceptions before cutover.
source = target ✓
PLANNING A BIGQUERY MIGRATION?
Tell us what you’re moving off.
Share your source platform, estate size, target BigQuery design, and migration goals. We’ll help assess complexity, define scope, and identify where automation removes manual delivery work.