AI Migration Planner

AI-Assisted Data Migration. Cut migration time by 80%.

Describe the migration in natural language. LucidOntos drafts a portable ontology, auto-maps your source, and generates native ETL for Snowflake, Databricks, Fabric, or BigQuery. No lock-in. No rewrite.

Trusted across the modern data stack

Oracle · SAP S/4HANA · Teradata · SQL Server · Informatica · SSISSnowflake · Databricks · Microsoft Fabric · BigQuery · Redshift

Stage 01 · Connect anything

Your sources, exactly as they are.

Oracle, SQL Server, Teradata, SAP, Informatica, Postgres — wired in without rewriting a line.

OracleFINPRD
SQL ServerERP
TeradataEDW
SAP ECCS/4
InformaticaETL
PostgresOPS
01Sources

Proven impact at enterprise leaders

Trusted by data teams modernizing mission-critical platforms

Heritage logoHarley-Davidson logoCanada Goose logoAirSprint logoRaley's logo

We partner with the best data companies

Certified, native integrations across the modern data stack

Databricks logo
Microsoft Fabric logo
Snowflake logo
Adastra logo
80%less time to migrate

vs hand-coded ETL

0rewrites required

of consumer queries

Novendor lock-in

code is yours to keep

1ontology · any target

Snowflake · Databricks · Fabric · BigQuery

How it works

From a one-line prompt to a running migration.

Six guided stages take a Director of Data from idea to production — and keep operating after cutover.

01

Describe

Natural-language prompt or pre-built migration wedge.

02

Plan

Source · Ontology · Mapping · Generate · Deploy milestones.

03

Connect

Discover schemas, profile tables, flag DQ issues.

04

Migrate

Generate native SQL, orchestrate, deploy, reconcile.

05

Customize

Tune mappings, transforms, ontology and target code to your standards.

06

Operate

Schedule, monitor, reconcile and re-plan as sources evolve.

Security & Sovereignty

Your data, your network, your keys.

LucidOntos runs where you run it. No data, credentials, or schemas are ever sent to a vendor cloud — so there's nothing to negotiate with security, legal, or audit.

Data never leaves your perimeter

Source schemas, samples, and credentials stay inside your network. We don't host or see your data.

Bring your own LLM

OpenAI, Anthropic, Azure OpenAI, or a self-hosted model. Your key, your bill, your retention policy.

Audit-ready by default

Every plan, mapping, and generated artifact is versioned — answer 'what changed and why' without a fire drill.

Team collaboration

Share projects, ontologies, and migration runs across your team without giving up control of where data sits.

No vendor lock-in

Generated SQL, PySpark, and pipeline code is yours — readable, editable, version-controllable. Walk away any time.

Runs on your infrastructure

Browser, desktop, or your own private deployment. No multi-tenant cloud, no shared datastore.

0
bytes of customer data sent to LucidOntos servers
100%
of generated code is yours to keep, edit, and version
Your cloud
your LLM, your storage, your retention rules
Use cases

Built for the migrations enterprises actually run.

Pre-built wedges and reusable patterns for the moves data leaders are scoping right now.

Warehouse modernization

Oracle → Snowflake

Lift FINPRD, EDW and ERP marts. SCD2, PII masking, and reconciliation generated end-to-end.

Microsoft estate

SQL Server → Microsoft Fabric

Migrate SSIS, stored procs, and analytics workloads to OneLake & Lakehouse with native T-SQL.

Cloud cost-out

Teradata → BigQuery

Retire Teradata. Convert BTEQ, macros, and views to BigQuery SQL with cost-aware partitioning.

SAP analytics

SAP ECC / S/4 → Databricks

Extract SAP tables via CDC, conform to a finance ontology, deliver gold marts in Delta.

ETL modernization

Informatica → dbt + native SQL

Re-platform legacy ETL into target-native code your team can read, version, and own.

Data convergence

Multi-source → Lakehouse

Converge Oracle, SQL Server, and Postgres into one ontology — Snowflake, Fabric, or Databricks.

Managed Services

The last mile, delivered by the LucidOntos Professional Support team.

Augment AI-Assisted Data Migration with senior engineers and architects who own the complex enterprise edges — discovery, design, cutover, and 24/7 run — so your team lands the migration on time, on scope, and on policy.

Discovery & Design

Source profiling, ontology design, and target architecture by senior practitioners.

Migration Engineering

Mapping, transforms, and codegen tuned to your standards and dialects.

Cutover & Governance

Reconciliation, audit evidence, and zero-surprise cutover playbooks.

24/7 Run & Evolve

SLA-backed monitoring, incident response, and ongoing optimization.

Integrations

Works with your modern data stack.

Native integrations for the platforms you already use.

Microsoft Fabric
Databricks
Snowflake
BigQuery
Redshift
80%
faster migrations
0
rewrites when targets change
Reversible
every artifact, version-controlled
Portable
ontology decouples source ↔ target

Ready to plan your next migration?

Bring a real source. We'll draft the ontology, auto-map a slice, and generate native ETL in your target — live, in 30 minutes.

Try Free