TERADATA → SNOWFLAKE
Modernize Teradata to Snowflake without manually rebuilding the warehouse.
Datachecks combines specialized AI agents with migration experts to assess large Teradata estates, generate mappings, translate Teradata SQL and workload logic, validate migrated data, and reconcile source and Snowflake results.
Supported objects and automation depth vary by source, target, and migration scope.
THE MIGRATION CHALLENGE
Teradata → Snowflake is a warehouse transformation, not a lift-and-shift.
Large Teradata estates combine complex schemas, SQL, views, macros, procedures, workload patterns, dependencies, and years of analytical logic that must be understood before they can be modernized.
1
Automated discovery
Large warehouse estates
Teradata environments can contain thousands of tables, views, scripts, procedures, and dependent analytical objects. Inventorying and classifying that estate manually can consume a significant portion of the migration timeline.
2
Accelerated translation
Teradata SQL differences
Teradata-specific SQL constructs, functions, QUALIFY usage, volatile tables, date logic, analytical patterns, and platform-specific behavior need Snowflake-aware translation.
3
Expert review
Macros, procedures, and scripts
Migration complexity frequently sits outside base tables. Macros, stored procedures, BTEQ-style scripting patterns, utilities, and orchestration logic may require conversion, restructuring, or expert review.
4
Architect-owned
Physical design differences
Teradata distribution and physical-design concepts do not translate directly to Snowflake's architecture. Migration requires target-modeling and optimization decisions rather than reproducing the legacy physical design.
5
Automated discovery
Dependencies and workload context
Views, downstream reports, transformations, scripts, and batch workloads often depend on one another. Missing these relationships can create late-stage failures and repeated rework.
6
Automated
Warehouse-scale reconciliation
Large datasets require systematic validation across counts, aggregates, transformation logic, historical periods, and critical business measures rather than isolated spot checks.
HOW DATACHECKS HELPS
Understand. Map. Translate. Validate.
The migration is executed through controlled agent workflows, with migration experts reviewing ambiguity, unsupported patterns, business rules, and critical exceptions.
01 · UNDERSTAND
Assessment + Discovery
Understand the Teradata estate before rebuilding it.
Inventory tables, views, macros, procedures, scripts, dependencies, and data patterns; classify complexity and identify migration-critical workloads.
Migration-ready Teradata estate assessment
02 · MAP
Source → Target Mapping
Generate target mappings systematically.
Map Teradata schemas, columns, data types, transformations, and analytical structures into Snowflake-aligned target definitions with ambiguity routed for review.
Reviewed Teradata-to-Snowflake mappings
03 · TRANSLATE
SQL + Procedural Translation
Accelerate Teradata SQL conversion.
Translate supported Teradata SQL and workload patterns into Snowflake-compatible logic, validate generated output, and flag platform-specific constructs requiring redesign.
Snowflake-ready logic with review exceptions
04 · VALIDATE
Testing + Reconciliation
Validate the warehouse before cutover.
Generate source-target tests, validate transformations and business measures, reconcile datasets, analyze mismatches, and produce evidence for migration sign-off.
Reconciled Snowflake warehouse outputs
MIGRATION EVIDENCE
Every stage leaves behind something your team can review.
SOURCE → TARGET MAPPING
CUSTOMER_ID DECIMAL(18,0) → CUSTOMER_ID NUMBER(18,0)
TRANSFORMATION: TRIM + UPPER · CONFIDENCE 97% · REVIEWED
TRANSLATION
Teradata SQL → Snowflake SQL
TRANSLATED · VALIDATED
EXCEPTION
Legacy workload pattern requiring target redesign
ARCHITECT REVIEW REQUIRED
DELIVERY TIME
Compress months of Teradata warehouse conversion into weeks of agent-driven execution.
Automate estate discovery, source-target mapping, repetitive SQL conversion, test generation, and reconciliation across large warehouse estates while experts focus on architectural decisions and complex workload patterns.
TRADITIONAL MIGRATION
MONTHS
Understand
Map
Translate
Test & validate
Reconcile
Cutover
WITH DATACHECKS
WEEKS
Understand
Map
Translate + test
Validate + reconcile
Cutover
Why the timeline shrinks: automated estate analysis · generated mappings · accelerated SQL translation · generated tests · automated reconciliation. Bar lengths are illustrative, not project commitments.
MIGRATION CONFIDENCE
Validate Snowflake before retiring Teradata.
Compare critical datasets, transformations, and business measures across Teradata and Snowflake, surface discrepancies early, and build evidence before production cutover.
TRANSLATE
TEST ✓
TARGET LOAD
VALIDATE ✓
RECONCILE ✓
EXCEPTIONS REVIEWED ✓
READY FOR CUTOVER
HUMAN IN THE LOOP
Automate the repeatable work. Keep experts on the decisions.
AGENT EXECUTION
Estate inventory · metadata analysis · profiling · standard mappings · common SQL translation · test generation · row-count checks · aggregate comparisons
EXPERT REVIEW
Ambiguous mappings · unsupported procedural patterns · complex logic · unusual transformation patterns · reconciliation discrepancies
HUMAN-OWNED
Business-rule interpretation · critical exception resolution · acceptance criteria · migration scope decisions · cutover approval
ENTERPRISE DEPLOYMENT
Run the migration engine where the data lives.
Deploy Datachecks within enterprise-controlled infrastructure, connect approved AI models, and keep migration data, metadata, execution, and evidence inside your security boundary.
Private Deployment
BYOM
SAML SSO
SOC 2
ISO 27001
PLANNING THIS MIGRATION?
Start with the estate you already have.
Share your source environment, target architecture, approximate object volumes, and migration goals. We’ll help identify complexity, scope, and where automation can remove manual delivery work.
Useful to bring: source schemas · object counts · procedural code volume · target architecture · timelines