Save months on data migration.
Without compromising data integrity.

Save months on data migration.
Without compromising data integrity.

Save months on data migration.
Without compromising data integrity.

AI agents automate the manual work across assessment, discovery, mapping, translation, validation, and reconciliation.

Abstract warm painting of fragmented data structures resolving into ordered, aligned layers
Parley AI agent Framer template interface preview

SUPPORTED MIGRATION TECHNOLOGIES

  • Oracle

  • Microsoft SQL Server

  • MySQL

  • PostgreSQL

  • IBM DB2

  • Teradata

  • Amazon Redshift

  • SAP ASE

  • SAP IQ

  • Snowflake

  • Databricks

  • Google BigQuery

  • Microsoft Fabric

  • Oracle

  • Microsoft SQL Server

  • MySQL

  • PostgreSQL

  • IBM DB2

  • Teradata

  • Amazon Redshift

  • SAP ASE

  • SAP IQ

  • Snowflake

  • Databricks

  • Google BigQuery

  • Microsoft Fabric

  • Oracle

  • Microsoft SQL Server

  • MySQL

  • PostgreSQL

  • IBM DB2

  • Teradata

  • Amazon Redshift

  • SAP ASE

  • SAP IQ

  • Snowflake

  • Databricks

  • Google BigQuery

  • Microsoft Fabric

AUTOMATE THE MIGRATION WORK

Take months out of
the migration lifecycle.

Datachecks agents automate the manual work from understanding the legacy estate to proving the migrated data is right.

01 · UNDERSTAND

Understand the migration before you start rebuilding it.

Assess the estate and uncover schemas, dependencies, relationships, data patterns, sensitive data, and migration complexity automatically.

Reduce weeks of assessment and discovery work.

DISCOVERY

COMPLEXITY · HIGH

1,284 tables have no documented business owner. 217 are referenced by active downstream workloads.

10,428

OBJECTS

1,217

DEPENDENCIES

184

SCHEMAS

✓ MIGRATION CONTEXT UPDATED

02.

Map

Mappings generated, not hand-built.

03.

Orange mosaic

Translate

Legacy logic converted automatically.

04.

Orange mosaic

Validate

Proof the data landed intact.

01 · UNDERSTAND

Understand the migration before you start rebuilding it.

Assess the estate and uncover schemas, dependencies, relationships, data patterns, sensitive data, and migration complexity automatically.

Reduce weeks of assessment and discovery work.

DISCOVERY

COMPLEXITY · HIGH

1,284 tables have no documented business owner. 217 are referenced by active downstream workloads.

10,428

OBJECTS

1,217

DEPENDENCIES

184

SCHEMAS

✓ MIGRATION CONTEXT UPDATED

02 · MAP

Generate mappings instead of managing spreadsheets.

Understand source and target semantics, generate mappings, recommend transformations, and surface low-confidence decisions for review.

Remove repetitive source-to-target mapping work.

MAPPING

97% CONFIDENCE

SOURCE

TARGET

customer_id

customer_key

VARCHAR(20)

STRING

TRANSFORM

TRIM → UPPERCASE

LOW CONFIDENCE

72%

status_code

customer_status

requires review

✓ SUGGESTED MAPPING

REVIEW QUEUE · 1

03 · TRANSLATE

Convert legacy logic without rewriting everything by hand.

Translate SQL, stored procedures, transformations, and legacy logic into target-compatible implementations.

Compress one of the most engineering-intensive phases of migration.

TRANSLATION

12 OBJECTS

ORACLE PL/SQL

SELECT NVL(st, 0) AS status,


SYSDATE AS loaded_at


FROM legacy.customer@dblink


SNOWFLAKE SQL

SELECT COALESCE(st, 0) AS status,


CURRENT_TIMESTAMP AS loaded_at

FROM legacy.customer

✓ SYNTAX VALIDATED

2 REQUIRE REVIEW

04 · VALIDATE

Move faster without compromising confidence in the data.

Continuously test source and target data, reconcile results, surface mismatches, and provide evidence for migration sign-off.

Shorten QA and reach cutover with confidence.

VALIDATION

8,421 TESTS

TEST RESULTS

passed

8,397

exceptions

24

RECONCILIATION

RECORD COUNT

source

12,419,812

target

12,419,812

match

100.00%

✓ RECONCILED

24 EXCEPTIONS → REVIEW

01 · UNDERSTAND

Understand the migration before you start rebuilding it.

Assess the estate and uncover schemas, dependencies, relationships, data patterns, sensitive data, and migration complexity automatically.

Reduce weeks of assessment and discovery work.

DISCOVERY

COMPLEXITY · HIGH

1,284 tables have no documented business owner. 217 are referenced by active downstream workloads.

10,428

OBJECTS

1,217

DEPENDENCIES

184

SCHEMAS

✓ MIGRATION CONTEXT UPDATED

02 · MAP

Generate mappings instead of managing spreadsheets.

Understand source and target semantics, generate mappings, recommend transformations, and surface low-confidence decisions for review.

Remove repetitive source-to-target mapping work.

MAPPING

97% CONFIDENCE

SOURCE

TARGET

customer_id

customer_key

VARCHAR(20)

STRING

TRANSFORM

TRIM → UPPERCASE

LOW CONFIDENCE

72%

status_code

customer_status

requires review

✓ SUGGESTED MAPPING

REVIEW QUEUE · 1

03 · TRANSLATE

Convert legacy logic without rewriting everything by hand.

Translate SQL, stored procedures, transformations, and legacy logic into target-compatible implementations.

Compress one of the most engineering-intensive phases of migration.

TRANSLATION

12 OBJECTS

ORACLE PL/SQL

SELECT NVL(st, 0) AS status,


SYSDATE AS loaded_at


FROM legacy.customer@dblink


SNOWFLAKE SQL

SELECT COALESCE(st, 0) AS status,


CURRENT_TIMESTAMP AS loaded_at

FROM legacy.customer

✓ SYNTAX VALIDATED

2 REQUIRE REVIEW

04 · VALIDATE

Move faster without compromising confidence in the data.

Continuously test source and target data, reconcile results, surface mismatches, and provide evidence for migration sign-off.

Shorten QA and reach cutover with confidence.

VALIDATION

8,421 TESTS

TEST RESULTS

passed

8,397

exceptions

24

RECONCILIATION

RECORD COUNT

source

12,419,812

target

12,419,812

match

100.00%

✓ RECONCILED

24 EXCEPTIONS → REVIEW

THE IMPACT

What changes when migration work is automated.

Shift repetitive migration work to AI agents while keeping engineers focused on decisions, exceptions, and sign-off.

30–50%

Less migration time

Compress manual work across assessment, discovery, mapping, translation, testing, and reconciliation.

MANUAL MIGRATION WORK

WITH DATACHECKS

AGENT EXECUTION

REVIEW / EXCEPTION

Less manual engineering

More repetitive work handled by agents.

Move analysis, mapping, code conversion, testing, and reconciliation away from repetitive human execution.

BEFORE

Manual work

Review

WITH DATACHECKS

Agent work

Human review

Continuous validation

Not QA at the end.

Test and reconcile throughout the migration lifecycle instead of discovering problems near cutover.

TRADITIONAL

QA AT THE END

WITH DATACHECKS

VALIDATION THROUGHOUT

UNDERSTAND · MAP · TRANSLATE · VALIDATE · CUTOVER

Fewer surprises

More confidence at cutover.

Surface exceptions earlier and maintain evidence from source analysis through final reconciliation.

EXCEPTIONS SURFACED

143

RESOLVED AUTOMATICALLY

127

REQUIRE REVIEW

16

✓ READY FOR SIGN-OFF

PROVEN AT ENTERPRISE SCALE

Built for migrations where scale and accuracy both matter.

A complex banking modernization spanning 10K+ tables, multiple legacy database platforms, and two target data environments.

Large Middle East Bank

Enterprise data modernization

MIDDLE EAST · BANKING · DATA MODERNIZATION

10K+

tables across the migration estate

DATACHECKS SCOPE

DATACHECKS SCOPE

Mapping · Translation · Validation · Reconciliation

Mapping · Translation · Validation · Reconciliation

LEGACY ESTATE

Oracle

Oracle

Microsoft SQL Server

Microsoft SQL Server

MySQL

MySQL

SAP ASE

SAP ASE

SAP IQ

SAP IQ

SCHEMAS · TABLES · PROCEDURES · DEPENDENCIES

DATACHECKS

MAP

TRANSLATE

VALIDATE

RECONCILE

FINAL DESTINATIONS

SAP IQ

Databricks

TWO TARGET ENVIRONMENTS

900 tables

validated with a 2-person team

✓ VALIDATED · RECONCILED

HOW WE DELIVER

One migration engine. Two ways to deliver.

Have Datachecks deliver your migration end to end — or bring Datachecks into your system integrator’s delivery model.

Have Datachecks deliver your migration end to end — or bring Datachecks into your system integrator’s delivery model.

01 · DATACHECKS-LED

We deliver the migration. End to end.

Datachecks combines specialized AI agents with migration engineers to execute the program from assessment and discovery through mapping, translation, validation, reconciliation, and cutover support.

YOUR ENTERPRISE

DATACHECKS MIGRATION TEAM

AI AGENTS

Repetitive execution

MIGRATION EXPERTS

Decisions · Exceptions

MIGRATED + VALIDATED DATA

Faster delivery

Automate labor-intensive migration work that normally consumes weeks or months.

Lower delivery effort

Shift repetitive execution from large engineering teams to specialized AI agents.

One accountable migration team

Datachecks owns migration execution instead of handing over another platform to operate.

Confidence built in

Validation and reconciliation run throughout the migration lifecycle.

02 · SI-LED

You deliver the migration. Datachecks powers the factory.

System integrators embed Datachecks agents into their migration delivery practice to automate repeatable work across projects while retaining ownership of the customer relationship and delivery program.

CLIENT A

CLIENT B

CLIENT C

SYSTEM INTEGRATOR

Migration factory powered by Datachecks

REPEATABLE DELIVERY

REUSED ACROSS PROGRAMS · MAPPINGS · RULES · TESTS · PATTERNS

Increase project margins

Reduce the engineering effort required to deliver the same migration scope.

Deliver more with the same team

Use AI agents to absorb repetitive execution instead of scaling headcount linearly.

Standardize migration delivery

Use consistent workflows, controls, artifacts, and validation across programs.

Build reusable migration IP

Reuse mappings, transformation patterns, tests, rules, and migration knowledge.

DATACHECKS AGENTIC MIGRATION ENGINE

The proprietary engine behind both delivery models.

Understand · Map · Translate · Validate

BUILT FOR ENTERPRISE DATA

Your migration data stays inside your security boundary.

Deploy Datachecks within your environment, connect enterprise-approved AI models, and keep migration data, metadata, and execution under your control.

Deploy Datachecks within your environment, connect enterprise-approved AI models, and keep migration data, metadata, and execution under your control.

YOUR ENTERPRISE ENVIRONMENT

✓ PRIVATE DEPLOYMENT

ENTERPRISE DATA

Schemas · Metadata · Business rules

APPROVED AI MODELS

Enterprise-approved infrastructure

DATACHECKS

Understand · Map · Translate · Validate

MIGRATION OUTPUTS + AUDIT EVIDENCE

ENTERPRISE ASSURANCE

AICPA SOC 2 seal

SOC 2 Type II

ISO 27001 certification mark

ISO 27001

SAML SSO

BYOM

IDENTITY · ACCESS · MODELS · DATA · CONTROLS

Run Datachecks in your environment.

Deploy the migration engine within enterprise-controlled infrastructure so sensitive migration data does not need to be moved into a shared Datachecks SaaS environment.

YOUR ENVIRONMENT → DATACHECKS + DATA

Use your approved AI infrastructure.

Connect Datachecks to enterprise-approved AI models while maintaining control over model access and governance.

BYOM · APPROVED MODEL → DATACHECKS AGENTS

Integrate with enterprise identity.

Use SAML-based SSO to control access through existing enterprise identity systems.

IDENTITY PROVIDER → SAML SSO → DATACHECKS

AI proposes. Your team stays in control.

Mappings, translations, validation results, reconciliation findings, and exceptions remain reviewable before critical migration decisions are accepted.

AGENT OUTPUT → REVIEW → APPROVE · EDIT · EXCEPTION

WHY DATACHECKS

Built for migration outcomes, not just migration tasks.

Datachecks combines specialized AI agents with migration delivery expertise — extending automation from understanding the legacy estate through translation, validation, and reconciliation.

Datachecks combines specialized AI agents with migration delivery expertise — extending automation from understanding the legacy estate through translation, validation, and reconciliation.

TRADITIONAL CONSULTING

GENERIC AI / MIGRATION TOOLS

DATACHECKS

DELIVERY MODEL

Traditional consulting

Traditional consulting

Large project teams

People execute most migration work

Generic AI / migration tools

Generic AI / migration tools

Software handed to your team

Customer assembles the delivery model

Datachecks

AI agents + migration experts

Automation and delivery work together

MIGRATION LIFECYCLE

Traditional consulting

Traditional consulting

Work split across specialized teams

Generic AI / migration tools

Generic AI / migration tools

Automation focused on selected tasks

Datachecks

Understand → Map → Translate → Validate

MANUAL EFFORT

Traditional consulting

Traditional consulting

High

Analysts, engineers and QA teams execute repetitive work

Generic AI / migration tools

Generic AI / migration tools

Reduced for selected activities

Datachecks

Automation across repetitive migration work

VALIDATION

Traditional consulting

Traditional consulting

Often a separate QA phase

Generic AI / migration tools

Generic AI / migration tools

Depends on customer implementation

Datachecks

Built into the migration lifecycle

Validation and reconciliation run throughout delivery

EXCEPTION HANDLING

Traditional consulting

Traditional consulting

Investigated manually

Generic AI / migration tools

Generic AI / migration tools

Often left to the user

Datachecks

Surfaced for expert review

Agents execute routine work; experts handle exceptions

SCALING DELIVERY

Traditional consulting

Traditional consulting

Add more people

Generic AI / migration tools

Generic AI / migration tools

Add more tool usage

Datachecks

Scale automation before headcount

Scale the automation. Not the migration team.

Scale the automation. Not the migration team.

Move repetitive execution to specialized agents while keeping experts focused on decisions, exceptions, and sign-off.

Move repetitive execution to specialized agents while keeping experts focused on decisions, exceptions, and sign-off.

Decorative mosaic texture in Parley AI agent Framer template

FREQUENTLY ASKED QUESTIONS

Questions enterprise migration teams ask us.

Everything you need to know about how Datachecks fits into an enterprise migration program.

What parts of data migration can Datachecks automate?
Does Datachecks replace our migration team or system integrator?
Which source and target platforms does Datachecks support?
How does Datachecks maintain data integrity when using AI?
Can Datachecks run inside our environment?

Bring us your hardest migration.

Datachecks combines specialized AI agents with migration experts to deliver complex migrations faster — with validation and reconciliation built in.

Bring us your hardest migration.

Datachecks combines specialized AI agents with migration experts to deliver complex migrations faster — with validation and reconciliation built in.

Bring us your hardest migration.

Datachecks combines specialized AI agents with migration experts to deliver complex migrations faster — with validation and reconciliation built in.