MIGRATE TO SNOWFLAKE
Migrate to Snowflake from the platform you’re on today.
Datachecks combines specialized AI agents with migration experts to move Oracle, Teradata, SQL Server, and DB2 estates onto Snowflake — automating assessment, source-to-target mapping, SQL translation, validation, and reconciliation.
Supported objects and automation depth vary by source, target, and migration scope.
THE TARGET SIDE
Landing on Snowflake 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.
WAREHOUSE SIZING
Compute sizing and credit consumption
Compute is billed by the second and sized per workload. Batch jobs that ran fine on fixed on-premise capacity need warehouse sizing, auto-suspend policies, and workload isolation decided before they become a cost problem.
ACCESS MODEL
Role hierarchy rarely ports directly
Snowflake’s role-based access model does not map cleanly from legacy grants. Roles, ownership chains, and future grants need designing against the target rather than replicating source permissions.
EXECUTION MODEL
SQL scripting or Snowpark
Not every piece of translated procedural logic belongs in SQL scripting. Some workloads are better rebuilt in Snowpark, and that judgement is made per object rather than once for the estate.
TEST ENVIRONMENTS
Zero-copy cloning changes validation
Cloning production-scale data without duplicating storage makes it practical to validate migrated logic against real volumes instead of a sampled subset.
CUTOVER SAFETY
Time travel as a recovery window
Time travel provides a bounded window to recover from a bad load or an incorrect transformation during cutover, which changes how aggressive a migration sequence can safely be.
AFTER CUTOVER
Cost governance from day one
Correctness is not the only measure of a successful migration. Resource monitors, warehouse policies, and query-level attribution should exist before the first production workload lands.
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 SNOWFLAKE MIGRATION?
Tell us what you’re moving off.
Share your source platform, estate size, target Snowflake architecture, and migration goals. We’ll help assess complexity, define scope, and identify where automation removes manual delivery work.