ABOUT DATACHECKS
Data migration should not require armies of people and months of manual work.
DataChecks is building an AI-native way to deliver enterprise data migration — combining specialized agents, native migration tooling and migration experts to automate repetitive work while keeping human judgment where it matters.
Understand everything. Automate everything possible. Prove everything that changed.
Delivery model
AI-NATIVE
AGENTS
Repetitive migration work, at scale
NATIVE TOOLING
Snowflake · Databricks capabilities
EXPERTS
Architecture · ambiguity · exceptions
EVIDENCE
Proof connected to the work
Automation at scale. Human judgment where it matters.
Migration is still too manual.
Manual execution
Large teams repeatedly perform work that can increasingly be automated.
Fragmented migration knowledge
Mappings, exceptions, validation and decisions become scattered across spreadsheets and tools.
Too little proof
A task being marked complete does not necessarily mean the migrated estate is production-ready.
We built DataChecks to change the migration delivery model — not simply add another migration tool.
The goal isn’t to move the database. It’s to safely retire the legacy estate.
01
Migrate the whole estate
Data, SQL, ETL, pipelines, orchestration, dependencies, business rules, validation and cutover all matter.
02
Use native tools
We don’t rebuild what Snowflake and Databricks already do well.
Use native platform migration capabilities as part of the delivery factory.
03
Automate repeatable work
Specialized agents handle repetitive migration activities at scale.
04
Keep humans on difficult decisions
Architecture, semantic ambiguity, exceptions and business-critical decisions require expert judgment.
Automation at scale. Human judgment where it matters.
An AI-native migration delivery system.
LEGACY DATA ESTATE
↓
SPECIALIZED AI AGENTS
NATIVE MIGRATION TOOLS
MIGRATION EXPERTS
↓
MIGRATION EVIDENCE
↓
PRODUCTION-READY TARGET
SIX SPECIALIZED AGENTS
ASSESSMENT
DISCOVERY
MAPPING
TRANSLATION
VALIDATION
RECONCILIATION
DataChecks brings migration execution into one controlled workflow, while Migration Evidence connects the decisions and outputs created across the lifecycle.
A CORE DATACHECKS PRINCIPLE
Migration work should leave proof behind.
Mappings, translations, exceptions, tests and reconciliation results should not disappear into disconnected reports. DataChecks keeps migration evidence connected to the work that produced it.
SOURCE
→
DECISION
→
TARGET
→
VALIDATION
→
RECONCILIATION
→
SIGN-OFF
Built for complex enterprise migration.
01
Enterprises
Teams modernizing complex legacy estates to Snowflake and Databricks.
02
System Integrators
Migration practices that want automation, repeatable delivery and consistent evidence.
03
Technology Ecosystems
Teams combining DataChecks with native platform migration capabilities.
Outcome ownership over software adoption.
MODEL 01
DataChecks-led
We own the migration outcome.
DataChecks combines its platform and migration experts to deliver from assessment through production readiness.
MODEL 02
Partner-led
Your team delivers. DataChecks powers the migration factory.
Built for enterprise environments.
Private Deployment
BYOM
SAML SSO
SOC 2
ISO 27001
Migration Evidence can remain inside the same controlled environment as the migration itself.
How we build DataChecks.
Evidence over claims
Migration progress should be provable.
Automation with control
Machines execute repeatable work; people govern critical decisions.
Use the ecosystem
Work with native platform capabilities rather than rebuilding them.
Own the outcome
Technology matters only if the migration reaches production successfully.
FAQ
Frequently asked questions
What does DataChecks do?
Is DataChecks a software platform or a services company?
Which migration platforms does DataChecks focus on?
Does DataChecks replace Snowflake or Databricks migration tooling?
Where can DataChecks run?
Building or planning a complex data migration?
Talk to us about the legacy estate, target platform and migration challenge.