DATA ESTATE MIGRATION

Migrate the entire legacy estate.

Datachecks combines AI-native execution, native migration tooling and migration experts to move complex data estates to Snowflake and Databricks—with evidence across every stage.

LEGACY DATA ESTATE

Data

SQL & Procedures

ETL & Pipelines

Schedulers

CDC

Business Rules

Dependencies

BI

Security

Datachecks

Discover · Map · Translate · Migrate · Validate · Reconcile · Cutover

OWNS THE MIGRATION OUTCOME

TARGET PLATFORM

Snowflake

Databricks

PRODUCTION-READY · VALIDATED · RECONCILED

The goal isn’t to move the database. The goal is to safely retire the legacy estate.

WHAT DATACHECKS MIGRATES

The whole estate—not just tables.

THE LEGACY ESTATE

11 AREAS MIGRATED

01

Data and database objects

01

Data and database objects

02

SQL and procedural logic

02

SQL and procedural logic

03

ETL and pipelines

03

ETL and pipelines

04

CDC and ingestion

04

CDC and ingestion

05

Schedulers and orchestration

05

Schedulers and orchestration

06

Business rules

06

Business rules

07

Semantic mappings

07

Semantic mappings

08

BI and downstream dependencies

08

BI and downstream dependencies

09

Security and governance

09

Security and governance

10

Validation and reconciliation

10

Validation and reconciliation

11

Cutover and retirement

11

Cutover and retirement

TYPES OF DATA ESTATE MIGRATION

Different estates. One migration outcome.

Data Platform Modernization

Modernize the broader data platform—data, pipelines, compute, orchestration and governance.

Hadoop / Cloudera → Databricks

Oracle + Informatica + Control-M → Snowflake

Explore Data Platform Modernization

Data Warehouse Modernization

Retire legacy analytical warehouses and move their workloads to a modern platform.

Teradata → Snowflake

Netezza → Snowflake

Synapse → Databricks

Explore Data Warehouse Modernization

Database Modernization

Modernize database-centric estates and the code and dependencies surrounding them.

Oracle → Snowflake

SQL Server → Databricks

Explore Database Modernization

Data Consolidation & M&A

Combine fragmented or acquired estates into one trusted target platform.

Multiple regional warehouses → Snowflake

Acquired Oracle + SQL Server estates → parent platform

Explore Data Consolidation & M&A

TARGET DESTINATIONS

Focused on Snowflake and Databricks.

Snowflake

PRIMARY CORRIDORS

Oracle → Snowflake

Teradata → Snowflake

SQL Server → Snowflake

SECONDARY

Redshift → Snowflake

Synapse → Snowflake

Hadoop analytics → Snowflake

Explore Snowflake Migrations

Databricks

PRIMARY CORRIDORS

Hadoop / Cloudera → Databricks

Oracle → Databricks

Teradata → Databricks

SQL Server → Databricks

SECONDARY

Synapse → Databricks

Redshift → Databricks

Explore Databricks Migrations

HOW DATACHECKS DELIVERS

From estate discovery to production cutover.

01

Assess

02

Discover

03

Map

04

Translate

05

Migrate

06

Validate

07

Reconcile

08

Cutover

AI Agents

Estate-scale execution across discovery, mapping, translation and reconciliation.

Native Migration Tools

Snowflake and Databricks native capabilities used where they are strongest.

Migration Experts

Architecture, exception handling and every sign-off.

Migration Evidence

Object-level proof connected across the whole lifecycle.

Automation at scale. Human judgment where it matters.

NATIVE TOOLS + DATACHECKS

Use native migration capabilities where they are strongest.

Datachecks works with Snowflake and Databricks native migration capabilities instead of rebuilding what the platforms already do well.

NATIVE MIGRATION TOOLS

Platform-specific execution

Conversion

Data movement

Target deployment

+

DATACHECKS

Whole-estate discovery

Semantic mapping

Exception management

Business validation

Migration Evidence

+

MIGRATION EXPERTS

Architecture

Critical decisions

Human review

PRODUCTION-READY TARGET

Native tools execute important parts of the migration. Datachecks coordinates the complete estate and owns the outcome around them.

MIGRATION EVIDENCE

Every migration step leaves proof behind.

Datachecks connects discoveries, mappings, translations, exceptions, validation and reconciliation evidence across the lifecycle.

Explore Migration Evidence

OBJECT MIGRATION PASSPORT

CUSTOMER_ORDERS

SOURCE

Oracle FIN.CUSTOMER_ORDERS

TARGET

Snowflake CURATED.CUSTOMER_ORDERS

Mapping

APPROVED

Translation

COMPLETE

Exceptions

3 / 3 RESOLVED

Tests

64 / 64 PASSED

Reconciliation

MATCHED

STATUS

READY

WHAT THE CUSTOMER RECEIVES

What a Datachecks migration delivers.

Estate Inventory

What exists and what is in scope.

Target Mapping

How the source estate maps to the target.

Converted / Modernized Artifacts

Target-native implementation outputs.

Exception Register

Unsupported patterns and their resolutions.

Validation & Reconciliation Evidence

Proof of technical and business equivalence.

Cutover Readiness Pack

Evidence required for production transition.

DELIVERY MODELS

Choose how you want to deliver the migration.

DATACHECKS-LED

We own the migration outcome.

Datachecks delivers assessment through production readiness.

Discuss My Migration

SI-LED

Your SI delivers. Datachecks powers the migration factory.

Datachecks provides automation, standardized workflows, exception management and Migration Evidence.

Explore Migration Factory

PROVEN AT ENTERPRISE SCALE

10K+

Objects in a migration estate

900

Tables validated

2-person

Validation team

From an enterprise banking migration delivered with Datachecks across a multi-technology legacy estate · SAP IQ + Databricks

Ready to move the legacy estate?

Start with your source estate, target platform and migration constraints. Datachecks can assess the program and take it through production readiness.

Give us the legacy estate. We get it migrated.