MIGRATIONS

What are you migrating from — and where are you going?

Explore common source-to-target migration paths where Datachecks can automate assessment, discovery, mapping, translation, validation, and reconciliation.

SOURCE

Oracle

schemas · tables · views · PL/SQL · procedures · data

DATACHECKS

01

Understand

02

Map

03

Translate

04

Validate

TARGET

Snowflake

target schema · converted SQL · migrated data · evidence

Example path. Supported objects and automation depth vary by source, target, and migration scope.

BROWSE BY TARGET

Start with the platform you’re moving to.

Explore common modernization paths into the strategic data platforms your team is adopting.

Explore common modernization paths into the strategic data platforms your team is adopting.

Snowflake

Modernize legacy databases and analytical estates to Snowflake.

Oracle → Snowflake

Teradata → Snowflake

Microsoft SQL Server → Snowflake

IBM DB2 → Snowflake

Databricks

Move legacy warehouse and analytical workloads onto Databricks.

Oracle → Databricks

Teradata → Databricks

Redshift → Databricks

Microsoft SQL Server → Databricks

Google BigQuery

Modernize database and warehouse workloads onto BigQuery.

Oracle → BigQuery

Teradata → BigQuery

Microsoft SQL Server → BigQuery

Microsoft Fabric

Modernize Microsoft and enterprise data estates onto Fabric.

Microsoft SQL Server → Fabric

Oracle → Fabric

+ Microsoft estate modernization paths

MIGRATION DIRECTORY

Explore source-to-target migration paths.

Browse common migration scenarios supported by Datachecks workflows. Automation depth varies by source, target, and migration scope.

Browse common migration scenarios supported by Datachecks workflows. Automation depth varies by source, target, and migration scope.

SOURCE

TARGET

ACTION

Oracle

Snowflake

Convert PL/SQL packages, procedures, and Oracle-specific data types into Snowflake-native SQL with row-level reconciliation.

Explore →

Explore →

Teradata

Snowflake

Translate BTEQ scripts, macros, and analytical SQL while preserving Teradata workload semantics on Snowflake.

Explore →

Explore →

Microsoft SQL Server

Snowflake

Move T-SQL procedures, functions, and warehouse schemas onto Snowflake with validated parity.

Explore →

Explore →

IBM DB2

Snowflake

Modernize DB2 schemas, stored procedures, and mainframe-adjacent workloads onto Snowflake.

Explore →

Explore →

Oracle

Databricks

Rebuild Oracle warehouse logic as Databricks SQL and notebooks with dependency lineage preserved.

Explore →

Explore →

Teradata

Databricks

Convert Teradata analytical workloads and macros into Databricks SQL with reconciliation evidence.

Explore →

Explore →

Redshift

Databricks

Translate Redshift DDL, distribution and sort keys, and SQL into Databricks-native equivalents.

Explore →

Explore →

Microsoft SQL Server

Databricks

Move T-SQL transformation logic and warehouse models onto the Databricks lakehouse.

Explore →

Explore →

Oracle

BigQuery

Map Oracle data types and PL/SQL into BigQuery standard SQL with validated row-level parity.

Explore →

Explore →

Teradata

BigQuery

Convert Teradata SQL and analytical workloads into BigQuery with partition and cost-aware modelling.

Explore →

Explore →

Microsoft SQL Server

BigQuery

Translate T-SQL and SQL Server schemas into BigQuery standard SQL and partitioned tables.

Explore →

Explore →

Microsoft SQL Server

Microsoft Fabric

Modernize SQL Server estates into Fabric warehouse and lakehouse targets with minimal rewrite.

Explore →

Explore →

Oracle

Microsoft Fabric

Convert Oracle schemas and PL/SQL into Fabric-native SQL with reconciled cutover evidence.

Explore →

Explore →

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 ✓

DON’T SEE YOUR MIGRATION?

Tell us what you’re moving.

Share your source platform, target platform, estate size, and migration goals. We’ll help assess the complexity, define the scope, and identify where Datachecks can automate the work.