DATA PLATFORM MODERNIZATION
Modernize the entire data platform.
Move legacy data, SQL, pipelines, orchestration, dependencies and business logic to Snowflake or Databricks—without manually rebuilding the estate.
WHAT MAKES THIS PLATFORM MODERNIZATION
More than a database migration.
LEGACY DATA PLATFORM
Data / Databases
ETL / Pipelines
CDC / Ingestion
Schedulers
Compute
Business Logic
BI / Analytics
Security / Governance
DATACHECKS
CONTROLLED EXECUTION
UNDERSTAND
MAP
TRANSLATE
VALIDATE
MODERN DATA PLATFORM
Snowflake
Databricks
When storage, processing, pipelines, orchestration and workloads change together, this is Data Platform Modernization.
COMMON MODERNIZATION SCENARIOS
Common data platform modernization paths.
Hadoop / Cloudera → Databricks
Modernize HDFS, Hive, Spark, pipelines and orchestration into a Databricks Lakehouse architecture.
Explore Hadoop → Databricks
Oracle Data Platform → Snowflake
Move Oracle data, PL/SQL, Informatica, GoldenGate, schedulers and downstream analytics into Snowflake.
Explore Snowflake Migrations
Microsoft Data Estate → Databricks
Modernize SQL Server, SSIS, Synapse, pipelines and dependent analytics into Databricks.
Explore Databricks Migrations
Other destinations supported for selected modernization programs.
LEGACY PLATFORM → MODERN TARGET
Modernize the platform—not just the syntax.
LEGACY PLATFORM
MODERN TARGET
Data / Storage
Target-native storage
SQL / Procedures
SQL / Python / target-native logic
ETL / Pipelines
Native pipelines / dbt / modern ELT
CDC / Ingestion
Modern batch / streaming patterns
Schedulers
Target-native or external orchestration
Compute
Cloud-native compute patterns
Security
Target governance model
BI Dependencies
Modern analytics architecture
CONVERT
MODERNIZE
RETIRE
Not every legacy component should be reproduced one-to-one.
HOW DATACHECKS DELIVERS
From legacy platform discovery to production cutover.
01
Assess
02
Discover
03
Map
04
Modernize
05
Migrate
06
Validate
07
Reconcile
08
Cutover
AI Agents
Estate discovery, mapping, translation and reconciliation at platform scale.
Native Migration Tools
Snowflake and Databricks capabilities used where they are strongest.
Migration Experts
Architecture, exceptions and every sign-off.
Migration Evidence
Object-level proof connected across the lifecycle.
Automation at scale. Human judgment where it matters.
See How Datachecks Works
NATIVE TOOLS + DATACHECKS
Use platform-native migration capabilities where they are strongest.
Datachecks works with Snowflake and Databricks native migration tooling and adds whole-estate discovery, semantic decisions, exception handling, business validation and migration evidence around them.
NATIVE MIGRATION TOOLS
Conversion
Data movement
Target execution
+
DATACHECKS
Estate discovery
Semantic mapping
Exceptions
Business equivalence
Migration Evidence
+
MIGRATION EXPERTS
Architecture
Review
Critical decisions
PRODUCTION-READY PLATFORM
We do not rebuild what Snowflake and Databricks already do well.
MIGRATION EVIDENCE
Every modernization decision leaves evidence.
Datachecks connects source objects, mappings, target patterns, implementation artifacts, exceptions, validation and reconciliation across the modernization lifecycle.
01
Source
02
Mapping
03
Target Pattern
04
Implementation
05
Exceptions
06
Tests
07
Reconciliation
08
Approval
Explore Migration Evidence
PROVEN AT ENTERPRISE SCALE
Built for estates where scale and accuracy both matter.
An enterprise banking modernization delivered with Datachecks across a multi-technology legacy estate.
LEGACY ESTATE
Oracle
MySQL
Microsoft SQL Server
SAP ASE
SAP IQ
DATACHECKS · MAP · TRANSLATE · VALIDATE · RECONCILE
SAP IQ + DATABRICKS
10K+
TABLES IN THE LEGACY ESTATE
900 tables validated with a 2-person team
OPERATIONAL PROOF
SCOPE · MAPPING · TRANSLATION · VALIDATION · RECONCILIATION
ENTERPRISE DEPLOYMENT
Private deployment
BYOM
SAML SSO
SOC 2
ISO 27001
PART OF DATA ESTATE MIGRATION
Data Platform Modernization is one type of Data Estate Migration.
Use Data Platform Modernization when the broader platform—storage, processing, pipelines, orchestration, governance and workloads—is being modernized together.
FAQ
Frequently asked questions
What parts of a data platform migration can Datachecks automate?
Is Datachecks only for moving data to Snowflake or Databricks?
Does Datachecks replace migration engineers?
Can Datachecks handle SQL and stored procedure conversion?
How does Datachecks validate a modernized data platform?
Can Datachecks work with our existing system integrator?
Planning a data platform modernization?
Start with the legacy platform, target destination and migration constraints. Datachecks can assess the estate and take the modernization through production readiness.