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.

Oracle logo

SOURCE

Oracle

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

→

→

DATACHECKS

01

Understand

02

Map

03

Translate

04

Validate

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→

Snowflake logo

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 logo

Snowflake

Modernize legacy databases and analytical estates to Snowflake.

Oracle → Snowflake

Teradata → Snowflake

Microsoft SQL Server → Snowflake

IBM DB2 → Snowflake

Databricks logo

Databricks

Move legacy warehouse and analytical workloads onto Databricks.

Oracle → Databricks

Teradata → Databricks

Redshift → Databricks

Microsoft SQL Server → Databricks

Google BigQuery logo

Google BigQuery

Modernize database and warehouse workloads onto BigQuery.

Oracle → BigQuery

Teradata → BigQuery

Microsoft SQL Server → BigQuery

Microsoft Fabric logo

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

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Snowflake

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

Explore →

Explore →

Microsoft SQL Server

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Snowflake

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

Explore →

Explore →

IBM DB2

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Snowflake

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

Explore →

Explore →

Oracle

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Databricks

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

Explore →

Explore →

Teradata

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Databricks

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

Explore →

Explore →

Redshift

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Databricks

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

Explore →

Explore →

Microsoft SQL Server

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Databricks

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

Explore →

Explore →

Oracle

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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

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BigQuery

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

Explore →

Explore →

Microsoft SQL Server

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Microsoft Fabric

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

Explore →

Explore →

Oracle

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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 ✓

FAQ

Frequently asked questions

What is a migration corridor?

Which source platforms does Datachecks migrate from?

Which target platforms does Datachecks focus on?

Is the approach the same for every corridor?

What if our corridor is not listed?

How do we choose between Snowflake and Databricks?

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.